10223 lines
305 KiB
JSON
10223 lines
305 KiB
JSON
{
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"KSampler": {
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"input": {
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"required": {
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"model": [
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"MODEL",
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{ "tooltip": "The model used for denoising the input latent." }
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],
|
|
"seed": [
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"INT",
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{
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|
"default": 0,
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|
"min": 0,
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"max": 18446744073709551615,
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"control_after_generate": true,
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|
"tooltip": "The random seed used for creating the noise."
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}
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|
],
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|
"steps": [
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"INT",
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{
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"default": 20,
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"min": 1,
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"max": 10000,
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"tooltip": "The number of steps used in the denoising process."
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}
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|
],
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"cfg": [
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|
"FLOAT",
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|
{
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|
"default": 8.0,
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|
"min": 0.0,
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"max": 100.0,
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"step": 0.1,
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"round": 0.01,
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"tooltip": "The Classifier-Free Guidance scale balances creativity and adherence to the prompt. Higher values result in images more closely matching the prompt however too high values will negatively impact quality."
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}
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],
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"sampler_name": [
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[
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"euler",
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"euler_cfg_pp",
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"euler_ancestral",
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"euler_ancestral_cfg_pp",
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"heun",
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"heunpp2",
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"dpm_2",
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"dpm_2_ancestral",
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"lms",
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"dpm_fast",
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"dpm_adaptive",
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"dpmpp_2s_ancestral",
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"dpmpp_2s_ancestral_cfg_pp",
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"dpmpp_sde",
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"dpmpp_sde_gpu",
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"dpmpp_2m",
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"dpmpp_2m_cfg_pp",
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"dpmpp_2m_sde",
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"dpmpp_2m_sde_gpu",
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"dpmpp_3m_sde",
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"dpmpp_3m_sde_gpu",
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"ddpm",
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"lcm",
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"ipndm",
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"ipndm_v",
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"deis",
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"res_multistep",
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"res_multistep_cfg_pp",
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"res_multistep_ancestral",
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"res_multistep_ancestral_cfg_pp",
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"gradient_estimation",
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"er_sde",
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"ddim",
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"uni_pc",
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"uni_pc_bh2"
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],
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{
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"tooltip": "The algorithm used when sampling, this can affect the quality, speed, and style of the generated output."
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}
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],
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"scheduler": [
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[
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"normal",
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"karras",
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"exponential",
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"sgm_uniform",
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"simple",
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"ddim_uniform",
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"beta",
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"linear_quadratic",
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"kl_optimal"
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],
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{
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"tooltip": "The scheduler controls how noise is gradually removed to form the image."
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}
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],
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"positive": [
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"CONDITIONING",
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{
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"tooltip": "The conditioning describing the attributes you want to include in the image."
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}
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],
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"negative": [
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"CONDITIONING",
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{
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"tooltip": "The conditioning describing the attributes you want to exclude from the image."
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}
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],
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"latent_image": [
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"LATENT",
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{ "tooltip": "The latent image to denoise." }
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],
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"denoise": [
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"FLOAT",
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{
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"default": 1.0,
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"min": 0.0,
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"max": 1.0,
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"step": 0.01,
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"tooltip": "The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling."
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}
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]
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}
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},
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"input_order": {
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"required": [
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"model",
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"seed",
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"steps",
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"cfg",
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"sampler_name",
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"scheduler",
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"positive",
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"negative",
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"latent_image",
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"denoise"
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]
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},
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"output": ["LATENT"],
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"output_is_list": [false],
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"output_name": ["LATENT"],
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"name": "KSampler",
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"display_name": "KSampler",
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"description": "Uses the provided model, positive and negative conditioning to denoise the latent image.",
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"python_module": "nodes",
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"category": "sampling",
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"output_node": false,
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"output_tooltips": ["The denoised latent."]
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},
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"CheckpointLoaderSimple": {
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"input": {
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"required": {
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"ckpt_name": [
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[
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"Anime/autismmixSDXL_autismmixConfetti.safetensors",
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"Anime/autismmixSDXL_autismmixPony.safetensors",
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"Anime/ponyDiffusionV6XL_v6StartWithThisOne.safetensors",
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"Anime/prefectPonyXL_v50.safetensors",
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"Anime/waiANINSFWPONYXL_v11.safetensors",
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"Anime/waiANINSFWPONYXL_v130.safetensors",
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"Anime/waiNSFWIllustrious_v70.safetensors",
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"Babes/babesBYSTABLEYOGI_xlV2.safetensors",
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"Babes/babesByStableYogi_ponyV3VAE.safetensors",
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"FLUX/flux1-dev-fp8.safetensors",
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"RDXL/rdxlAnime_sdxlPony8.safetensors",
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"RDXL/rdxlPixelArt_pony2.safetensors",
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"RDXL/realDream_sdxlPony12.safetensors",
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"Realism/cyberrealisticPony_v70a.safetensors",
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"Realism/cyberrealisticPony_v8.safetensors",
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"Realism/realvisxlV50_v50Bakedvae.safetensors",
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"SD3.5/sd3.5_large_fp16.safetensors",
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"SD3.5/sd3.5_large_fp8_scaled.safetensors",
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"Semi-realism/bemypony_Semirealanime.safetensors",
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"Semi-realism/duchaitenPonyXLNo_v60.safetensors",
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"prefectPonyXL_v3.safetensors",
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"sd-v1-5-inpainting.ckpt",
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"v1-5-pruned-emaonly.ckpt"
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],
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{ "tooltip": "The name of the checkpoint (model) to load." }
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]
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}
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},
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"input_order": { "required": ["ckpt_name"] },
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"output": ["MODEL", "CLIP", "VAE"],
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"output_is_list": [false, false, false],
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"output_name": ["MODEL", "CLIP", "VAE"],
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"name": "CheckpointLoaderSimple",
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"display_name": "Load Checkpoint",
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"description": "Loads a diffusion model checkpoint, diffusion models are used to denoise latents.",
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"python_module": "nodes",
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"category": "loaders",
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"output_node": false,
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"output_tooltips": [
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"The model used for denoising latents.",
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"The CLIP model used for encoding text prompts.",
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"The VAE model used for encoding and decoding images to and from latent space."
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]
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},
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"CLIPTextEncode": {
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"input": {
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"required": {
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"text": [
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"STRING",
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{
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"multiline": true,
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"dynamicPrompts": true,
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"tooltip": "The text to be encoded."
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}
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],
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"clip": [
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"CLIP",
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{ "tooltip": "The CLIP model used for encoding the text." }
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]
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}
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},
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"input_order": { "required": ["text", "clip"] },
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"output": ["CONDITIONING"],
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"output_is_list": [false],
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"output_name": ["CONDITIONING"],
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"name": "CLIPTextEncode",
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"display_name": "CLIP Text Encode (Prompt)",
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"description": "Encodes a text prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images.",
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"python_module": "nodes",
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"category": "conditioning",
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"output_node": false,
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"output_tooltips": [
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"A conditioning containing the embedded text used to guide the diffusion model."
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]
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},
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"CLIPSetLastLayer": {
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"input": {
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"required": {
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"clip": ["CLIP"],
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"stop_at_clip_layer": [
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"INT",
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{ "default": -1, "min": -24, "max": -1, "step": 1 }
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]
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}
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},
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"input_order": { "required": ["clip", "stop_at_clip_layer"] },
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"output": ["CLIP"],
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"output_is_list": [false],
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"output_name": ["CLIP"],
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"name": "CLIPSetLastLayer",
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"display_name": "CLIP Set Last Layer",
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"description": "",
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"python_module": "nodes",
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"category": "conditioning",
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"output_node": false
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},
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"VAEDecode": {
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"input": {
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"required": {
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"samples": ["LATENT", { "tooltip": "The latent to be decoded." }],
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"vae": [
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|
"VAE",
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{ "tooltip": "The VAE model used for decoding the latent." }
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|
]
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}
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},
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"input_order": { "required": ["samples", "vae"] },
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"output": ["IMAGE"],
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"output_is_list": [false],
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"output_name": ["IMAGE"],
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"name": "VAEDecode",
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"display_name": "VAE Decode",
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"description": "Decodes latent images back into pixel space images.",
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"python_module": "nodes",
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"category": "latent",
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"output_node": false,
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"output_tooltips": ["The decoded image."]
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},
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|
"VAEEncode": {
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"input": { "required": { "pixels": ["IMAGE"], "vae": ["VAE"] } },
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"input_order": { "required": ["pixels", "vae"] },
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"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
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"name": "VAEEncode",
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|
"display_name": "VAE Encode",
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|
"description": "",
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"python_module": "nodes",
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|
"category": "latent",
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"output_node": false
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},
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"VAEEncodeForInpaint": {
|
|
"input": {
|
|
"required": {
|
|
"pixels": ["IMAGE"],
|
|
"vae": ["VAE"],
|
|
"mask": ["MASK"],
|
|
"grow_mask_by": [
|
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"INT",
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{ "default": 6, "min": 0, "max": 64, "step": 1 }
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]
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|
}
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},
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"input_order": { "required": ["pixels", "vae", "mask", "grow_mask_by"] },
|
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"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
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"name": "VAEEncodeForInpaint",
|
|
"display_name": "VAE Encode (for Inpainting)",
|
|
"description": "",
|
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"python_module": "nodes",
|
|
"category": "latent/inpaint",
|
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"output_node": false
|
|
},
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|
"VAELoader": {
|
|
"input": {
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|
"required": {
|
|
"vae_name": [
|
|
[
|
|
"ae.safetensors",
|
|
"sdxl_vae.safetensors",
|
|
"vae-ft-mse-840000-ema-pruned.ckpt"
|
|
]
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["vae_name"] },
|
|
"output": ["VAE"],
|
|
"output_is_list": [false],
|
|
"output_name": ["VAE"],
|
|
"name": "VAELoader",
|
|
"display_name": "Load VAE",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "loaders",
|
|
"output_node": false
|
|
},
|
|
"EmptyLatentImage": {
|
|
"input": {
|
|
"required": {
|
|
"width": [
|
|
"INT",
|
|
{
|
|
"default": 512,
|
|
"min": 16,
|
|
"max": 16384,
|
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"step": 8,
|
|
"tooltip": "The width of the latent images in pixels."
|
|
}
|
|
],
|
|
"height": [
|
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"INT",
|
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{
|
|
"default": 512,
|
|
"min": 16,
|
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"max": 16384,
|
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"step": 8,
|
|
"tooltip": "The height of the latent images in pixels."
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|
}
|
|
],
|
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"batch_size": [
|
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"INT",
|
|
{
|
|
"default": 1,
|
|
"min": 1,
|
|
"max": 4096,
|
|
"tooltip": "The number of latent images in the batch."
|
|
}
|
|
]
|
|
}
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|
},
|
|
"input_order": { "required": ["width", "height", "batch_size"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "EmptyLatentImage",
|
|
"display_name": "Empty Latent Image",
|
|
"description": "Create a new batch of empty latent images to be denoised via sampling.",
|
|
"python_module": "nodes",
|
|
"category": "latent",
|
|
"output_node": false,
|
|
"output_tooltips": ["The empty latent image batch."]
|
|
},
|
|
"LatentUpscale": {
|
|
"input": {
|
|
"required": {
|
|
"samples": ["LATENT"],
|
|
"upscale_method": [
|
|
["nearest-exact", "bilinear", "area", "bicubic", "bislerp"]
|
|
],
|
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"width": ["INT", { "default": 512, "min": 0, "max": 16384, "step": 8 }],
|
|
"height": [
|
|
"INT",
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{ "default": 512, "min": 0, "max": 16384, "step": 8 }
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],
|
|
"crop": [["disabled", "center"]]
|
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}
|
|
},
|
|
"input_order": {
|
|
"required": ["samples", "upscale_method", "width", "height", "crop"]
|
|
},
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "LatentUpscale",
|
|
"display_name": "Upscale Latent",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "latent",
|
|
"output_node": false
|
|
},
|
|
"LatentUpscaleBy": {
|
|
"input": {
|
|
"required": {
|
|
"samples": ["LATENT"],
|
|
"upscale_method": [
|
|
["nearest-exact", "bilinear", "area", "bicubic", "bislerp"]
|
|
],
|
|
"scale_by": [
|
|
"FLOAT",
|
|
{ "default": 1.5, "min": 0.01, "max": 8.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["samples", "upscale_method", "scale_by"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "LatentUpscaleBy",
|
|
"display_name": "Upscale Latent By",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "latent",
|
|
"output_node": false
|
|
},
|
|
"LatentFromBatch": {
|
|
"input": {
|
|
"required": {
|
|
"samples": ["LATENT"],
|
|
"batch_index": ["INT", { "default": 0, "min": 0, "max": 63 }],
|
|
"length": ["INT", { "default": 1, "min": 1, "max": 64 }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["samples", "batch_index", "length"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "LatentFromBatch",
|
|
"display_name": "Latent From Batch",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "latent/batch",
|
|
"output_node": false
|
|
},
|
|
"RepeatLatentBatch": {
|
|
"input": {
|
|
"required": {
|
|
"samples": ["LATENT"],
|
|
"amount": ["INT", { "default": 1, "min": 1, "max": 64 }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["samples", "amount"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "RepeatLatentBatch",
|
|
"display_name": "Repeat Latent Batch",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "latent/batch",
|
|
"output_node": false
|
|
},
|
|
"SaveImage": {
|
|
"input": {
|
|
"required": {
|
|
"images": ["IMAGE", { "tooltip": "The images to save." }],
|
|
"filename_prefix": [
|
|
"STRING",
|
|
{
|
|
"default": "ComfyUI",
|
|
"tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."
|
|
}
|
|
]
|
|
},
|
|
"hidden": { "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO" }
|
|
},
|
|
"input_order": {
|
|
"required": ["images", "filename_prefix"],
|
|
"hidden": ["prompt", "extra_pnginfo"]
|
|
},
|
|
"output": [],
|
|
"output_is_list": [],
|
|
"output_name": [],
|
|
"name": "SaveImage",
|
|
"display_name": "Save Image",
|
|
"description": "Saves the input images to your ComfyUI output directory.",
|
|
"python_module": "nodes",
|
|
"category": "image",
|
|
"output_node": true
|
|
},
|
|
"PreviewImage": {
|
|
"input": {
|
|
"required": { "images": ["IMAGE"] },
|
|
"hidden": { "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO" }
|
|
},
|
|
"input_order": {
|
|
"required": ["images"],
|
|
"hidden": ["prompt", "extra_pnginfo"]
|
|
},
|
|
"output": [],
|
|
"output_is_list": [],
|
|
"output_name": [],
|
|
"name": "PreviewImage",
|
|
"display_name": "Preview Image",
|
|
"description": "Saves the input images to your ComfyUI output directory.",
|
|
"python_module": "nodes",
|
|
"category": "image",
|
|
"output_node": true
|
|
},
|
|
"LoadImage": {
|
|
"input": { "required": { "image": [[], { "image_upload": true }] } },
|
|
"input_order": { "required": ["image"] },
|
|
"output": ["IMAGE", "MASK"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["IMAGE", "MASK"],
|
|
"name": "LoadImage",
|
|
"display_name": "Load Image",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "image",
|
|
"output_node": false
|
|
},
|
|
"LoadImageMask": {
|
|
"input": {
|
|
"required": {
|
|
"image": [[], { "image_upload": true }],
|
|
"channel": [["alpha", "red", "green", "blue"]]
|
|
}
|
|
},
|
|
"input_order": { "required": ["image", "channel"] },
|
|
"output": ["MASK"],
|
|
"output_is_list": [false],
|
|
"output_name": ["MASK"],
|
|
"name": "LoadImageMask",
|
|
"display_name": "Load Image (as Mask)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "mask",
|
|
"output_node": false
|
|
},
|
|
"LoadImageOutput": {
|
|
"input": {
|
|
"required": {
|
|
"image": [
|
|
"COMBO",
|
|
{
|
|
"image_upload": true,
|
|
"image_folder": "output",
|
|
"remote": {
|
|
"route": "/internal/files/output",
|
|
"refresh_button": true,
|
|
"control_after_refresh": "first"
|
|
}
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["image"] },
|
|
"output": ["IMAGE", "MASK"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["IMAGE", "MASK"],
|
|
"name": "LoadImageOutput",
|
|
"display_name": "Load Image (from Outputs)",
|
|
"description": "Load an image from the output folder. When the refresh button is clicked, the node will update the image list and automatically select the first image, allowing for easy iteration.",
|
|
"python_module": "nodes",
|
|
"category": "image",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"ImageScale": {
|
|
"input": {
|
|
"required": {
|
|
"image": ["IMAGE"],
|
|
"upscale_method": [
|
|
["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
|
|
],
|
|
"width": ["INT", { "default": 512, "min": 0, "max": 16384, "step": 1 }],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 512, "min": 0, "max": 16384, "step": 1 }
|
|
],
|
|
"crop": [["disabled", "center"]]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["image", "upscale_method", "width", "height", "crop"]
|
|
},
|
|
"output": ["IMAGE"],
|
|
"output_is_list": [false],
|
|
"output_name": ["IMAGE"],
|
|
"name": "ImageScale",
|
|
"display_name": "Upscale Image",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "image/upscaling",
|
|
"output_node": false
|
|
},
|
|
"ImageScaleBy": {
|
|
"input": {
|
|
"required": {
|
|
"image": ["IMAGE"],
|
|
"upscale_method": [
|
|
["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
|
|
],
|
|
"scale_by": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.01, "max": 8.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["image", "upscale_method", "scale_by"] },
|
|
"output": ["IMAGE"],
|
|
"output_is_list": [false],
|
|
"output_name": ["IMAGE"],
|
|
"name": "ImageScaleBy",
|
|
"display_name": "Upscale Image By",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "image/upscaling",
|
|
"output_node": false
|
|
},
|
|
"ImageInvert": {
|
|
"input": { "required": { "image": ["IMAGE"] } },
|
|
"input_order": { "required": ["image"] },
|
|
"output": ["IMAGE"],
|
|
"output_is_list": [false],
|
|
"output_name": ["IMAGE"],
|
|
"name": "ImageInvert",
|
|
"display_name": "Invert Image",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "image",
|
|
"output_node": false
|
|
},
|
|
"ImageBatch": {
|
|
"input": { "required": { "image1": ["IMAGE"], "image2": ["IMAGE"] } },
|
|
"input_order": { "required": ["image1", "image2"] },
|
|
"output": ["IMAGE"],
|
|
"output_is_list": [false],
|
|
"output_name": ["IMAGE"],
|
|
"name": "ImageBatch",
|
|
"display_name": "Batch Images",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "image",
|
|
"output_node": false
|
|
},
|
|
"ImagePadForOutpaint": {
|
|
"input": {
|
|
"required": {
|
|
"image": ["IMAGE"],
|
|
"left": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"top": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"right": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"bottom": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"feathering": [
|
|
"INT",
|
|
{ "default": 40, "min": 0, "max": 16384, "step": 1 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["image", "left", "top", "right", "bottom", "feathering"]
|
|
},
|
|
"output": ["IMAGE", "MASK"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["IMAGE", "MASK"],
|
|
"name": "ImagePadForOutpaint",
|
|
"display_name": "Pad Image for Outpainting",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "image",
|
|
"output_node": false
|
|
},
|
|
"EmptyImage": {
|
|
"input": {
|
|
"required": {
|
|
"width": ["INT", { "default": 512, "min": 1, "max": 16384, "step": 1 }],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 512, "min": 1, "max": 16384, "step": 1 }
|
|
],
|
|
"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }],
|
|
"color": [
|
|
"INT",
|
|
{
|
|
"default": 0,
|
|
"min": 0,
|
|
"max": 16777215,
|
|
"step": 1,
|
|
"display": "color"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["width", "height", "batch_size", "color"] },
|
|
"output": ["IMAGE"],
|
|
"output_is_list": [false],
|
|
"output_name": ["IMAGE"],
|
|
"name": "EmptyImage",
|
|
"display_name": "EmptyImage",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "image",
|
|
"output_node": false
|
|
},
|
|
"ConditioningAverage": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning_to": ["CONDITIONING"],
|
|
"conditioning_from": ["CONDITIONING"],
|
|
"conditioning_to_strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"conditioning_to",
|
|
"conditioning_from",
|
|
"conditioning_to_strength"
|
|
]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningAverage",
|
|
"display_name": "ConditioningAverage",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning",
|
|
"output_node": false
|
|
},
|
|
"ConditioningCombine": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning_1": ["CONDITIONING"],
|
|
"conditioning_2": ["CONDITIONING"]
|
|
}
|
|
},
|
|
"input_order": { "required": ["conditioning_1", "conditioning_2"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningCombine",
|
|
"display_name": "Conditioning (Combine)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning",
|
|
"output_node": false
|
|
},
|
|
"ConditioningConcat": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning_to": ["CONDITIONING"],
|
|
"conditioning_from": ["CONDITIONING"]
|
|
}
|
|
},
|
|
"input_order": { "required": ["conditioning_to", "conditioning_from"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningConcat",
|
|
"display_name": "Conditioning (Concat)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning",
|
|
"output_node": false
|
|
},
|
|
"ConditioningSetArea": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning": ["CONDITIONING"],
|
|
"width": ["INT", { "default": 64, "min": 64, "max": 16384, "step": 8 }],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 64, "min": 64, "max": 16384, "step": 8 }
|
|
],
|
|
"x": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"y": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["conditioning", "width", "height", "x", "y", "strength"]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningSetArea",
|
|
"display_name": "Conditioning (Set Area)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning",
|
|
"output_node": false
|
|
},
|
|
"ConditioningSetAreaPercentage": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning": ["CONDITIONING"],
|
|
"width": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0, "max": 1.0, "step": 0.01 }
|
|
],
|
|
"height": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0, "max": 1.0, "step": 0.01 }
|
|
],
|
|
"x": ["FLOAT", { "default": 0, "min": 0, "max": 1.0, "step": 0.01 }],
|
|
"y": ["FLOAT", { "default": 0, "min": 0, "max": 1.0, "step": 0.01 }],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["conditioning", "width", "height", "x", "y", "strength"]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningSetAreaPercentage",
|
|
"display_name": "Conditioning (Set Area with Percentage)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning",
|
|
"output_node": false
|
|
},
|
|
"ConditioningSetAreaStrength": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning": ["CONDITIONING"],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["conditioning", "strength"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningSetAreaStrength",
|
|
"display_name": "ConditioningSetAreaStrength",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning",
|
|
"output_node": false
|
|
},
|
|
"ConditioningSetMask": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning": ["CONDITIONING"],
|
|
"mask": ["MASK"],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
],
|
|
"set_cond_area": [["default", "mask bounds"]]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["conditioning", "mask", "strength", "set_cond_area"]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningSetMask",
|
|
"display_name": "Conditioning (Set Mask)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning",
|
|
"output_node": false
|
|
},
|
|
"KSamplerAdvanced": {
|
|
"input": {
|
|
"required": {
|
|
"model": ["MODEL"],
|
|
"add_noise": [["enable", "disable"]],
|
|
"noise_seed": [
|
|
"INT",
|
|
{
|
|
"default": 0,
|
|
"min": 0,
|
|
"max": 18446744073709551615,
|
|
"control_after_generate": true
|
|
}
|
|
],
|
|
"steps": ["INT", { "default": 20, "min": 1, "max": 10000 }],
|
|
"cfg": [
|
|
"FLOAT",
|
|
{
|
|
"default": 8.0,
|
|
"min": 0.0,
|
|
"max": 100.0,
|
|
"step": 0.1,
|
|
"round": 0.01
|
|
}
|
|
],
|
|
"sampler_name": [
|
|
[
|
|
"euler",
|
|
"euler_cfg_pp",
|
|
"euler_ancestral",
|
|
"euler_ancestral_cfg_pp",
|
|
"heun",
|
|
"heunpp2",
|
|
"dpm_2",
|
|
"dpm_2_ancestral",
|
|
"lms",
|
|
"dpm_fast",
|
|
"dpm_adaptive",
|
|
"dpmpp_2s_ancestral",
|
|
"dpmpp_2s_ancestral_cfg_pp",
|
|
"dpmpp_sde",
|
|
"dpmpp_sde_gpu",
|
|
"dpmpp_2m",
|
|
"dpmpp_2m_cfg_pp",
|
|
"dpmpp_2m_sde",
|
|
"dpmpp_2m_sde_gpu",
|
|
"dpmpp_3m_sde",
|
|
"dpmpp_3m_sde_gpu",
|
|
"ddpm",
|
|
"lcm",
|
|
"ipndm",
|
|
"ipndm_v",
|
|
"deis",
|
|
"res_multistep",
|
|
"res_multistep_cfg_pp",
|
|
"res_multistep_ancestral",
|
|
"res_multistep_ancestral_cfg_pp",
|
|
"gradient_estimation",
|
|
"er_sde",
|
|
"ddim",
|
|
"uni_pc",
|
|
"uni_pc_bh2"
|
|
]
|
|
],
|
|
"scheduler": [
|
|
[
|
|
"normal",
|
|
"karras",
|
|
"exponential",
|
|
"sgm_uniform",
|
|
"simple",
|
|
"ddim_uniform",
|
|
"beta",
|
|
"linear_quadratic",
|
|
"kl_optimal"
|
|
]
|
|
],
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"latent_image": ["LATENT"],
|
|
"start_at_step": ["INT", { "default": 0, "min": 0, "max": 10000 }],
|
|
"end_at_step": ["INT", { "default": 10000, "min": 0, "max": 10000 }],
|
|
"return_with_leftover_noise": [["disable", "enable"]]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"model",
|
|
"add_noise",
|
|
"noise_seed",
|
|
"steps",
|
|
"cfg",
|
|
"sampler_name",
|
|
"scheduler",
|
|
"positive",
|
|
"negative",
|
|
"latent_image",
|
|
"start_at_step",
|
|
"end_at_step",
|
|
"return_with_leftover_noise"
|
|
]
|
|
},
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "KSamplerAdvanced",
|
|
"display_name": "KSampler (Advanced)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "sampling",
|
|
"output_node": false
|
|
},
|
|
"SetLatentNoiseMask": {
|
|
"input": { "required": { "samples": ["LATENT"], "mask": ["MASK"] } },
|
|
"input_order": { "required": ["samples", "mask"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "SetLatentNoiseMask",
|
|
"display_name": "Set Latent Noise Mask",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "latent/inpaint",
|
|
"output_node": false
|
|
},
|
|
"LatentComposite": {
|
|
"input": {
|
|
"required": {
|
|
"samples_to": ["LATENT"],
|
|
"samples_from": ["LATENT"],
|
|
"x": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"y": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"feather": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["samples_to", "samples_from", "x", "y", "feather"]
|
|
},
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "LatentComposite",
|
|
"display_name": "Latent Composite",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "latent",
|
|
"output_node": false
|
|
},
|
|
"LatentBlend": {
|
|
"input": {
|
|
"required": {
|
|
"samples1": ["LATENT"],
|
|
"samples2": ["LATENT"],
|
|
"blend_factor": [
|
|
"FLOAT",
|
|
{ "default": 0.5, "min": 0, "max": 1, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["samples1", "samples2", "blend_factor"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "LatentBlend",
|
|
"display_name": "Latent Blend",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "_for_testing",
|
|
"output_node": false
|
|
},
|
|
"LatentRotate": {
|
|
"input": {
|
|
"required": {
|
|
"samples": ["LATENT"],
|
|
"rotation": [["none", "90 degrees", "180 degrees", "270 degrees"]]
|
|
}
|
|
},
|
|
"input_order": { "required": ["samples", "rotation"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "LatentRotate",
|
|
"display_name": "Rotate Latent",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "latent/transform",
|
|
"output_node": false
|
|
},
|
|
"LatentFlip": {
|
|
"input": {
|
|
"required": {
|
|
"samples": ["LATENT"],
|
|
"flip_method": [["x-axis: vertically", "y-axis: horizontally"]]
|
|
}
|
|
},
|
|
"input_order": { "required": ["samples", "flip_method"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "LatentFlip",
|
|
"display_name": "Flip Latent",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "latent/transform",
|
|
"output_node": false
|
|
},
|
|
"LatentCrop": {
|
|
"input": {
|
|
"required": {
|
|
"samples": ["LATENT"],
|
|
"width": [
|
|
"INT",
|
|
{ "default": 512, "min": 64, "max": 16384, "step": 8 }
|
|
],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 512, "min": 64, "max": 16384, "step": 8 }
|
|
],
|
|
"x": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"y": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["samples", "width", "height", "x", "y"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "LatentCrop",
|
|
"display_name": "Crop Latent",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "latent/transform",
|
|
"output_node": false
|
|
},
|
|
"LoraLoader": {
|
|
"input": {
|
|
"required": {
|
|
"model": [
|
|
"MODEL",
|
|
{ "tooltip": "The diffusion model the LoRA will be applied to." }
|
|
],
|
|
"clip": [
|
|
"CLIP",
|
|
{ "tooltip": "The CLIP model the LoRA will be applied to." }
|
|
],
|
|
"lora_name": [
|
|
[
|
|
"Characters/Cortana/Cortana(revAnimated).safetensors",
|
|
"Characters/Cortana/Cortana.safetensors",
|
|
"Characters/Cortana/Cortana_XL.safetensors",
|
|
"Characters/Cortana/cortana_xl_v3.safetensors",
|
|
"Characters/D.va/DVaOWXL - by KillerUwU13_AI.safetensors",
|
|
"Characters/D.va/DVaPony.safetensors",
|
|
"Characters/Lara Croft/ClassicLara.safetensors",
|
|
"Characters/Lara Croft/LaraCroft_character-20.safetensors",
|
|
"Characters/Lara Croft/lara_croft_xl_v2.safetensors",
|
|
"Characters/Peni Parker/32dim-MR_PeniParker-PONY.safetensors",
|
|
"Characters/Peni Parker/PeniParkerRivals-10.safetensors",
|
|
"Characters/Peni Parker/Peni_Parker-000007.safetensors",
|
|
"Characters/Peni Parker/Peni_parker_marvel_rivels.safetensors",
|
|
"Characters/Samus Aran/Samus AranPonyLora.safetensors",
|
|
"Characters/Samus Aran/samus aran.safetensors",
|
|
"Characters/Samus Aran/samus-09.safetensors",
|
|
"Characters/Scarlett Johansson/Scarlett-v20.safetensors",
|
|
"Characters/Scarlett Johansson/Scarlett4.safetensors",
|
|
"Characters/Widowmaker/SDXL_ow1 Windowmaker.safetensors",
|
|
"Characters/Widowmaker/WidowmakerPonyLoRA.safetensors",
|
|
"Characters/Widowmaker/Widowmaker_cgi.safetensors",
|
|
"Characters/princess_xl_v2.safetensors",
|
|
"Characters/princess_zelda.safetensors",
|
|
"Citron Pony Styles/80s_Pop_PDXL.safetensors",
|
|
"Citron Pony Styles/Alola_Style_PDXL.safetensors",
|
|
"Citron Pony Styles/BoldToon.safetensors",
|
|
"Citron Pony Styles/CandyCuteStylePDXL.safetensors",
|
|
"Citron Pony Styles/CatalystStylePDXL.safetensors",
|
|
"Citron Pony Styles/Citron3D_PDXL.safetensors",
|
|
"Citron Pony Styles/CitronAnimeTreasure-07.safetensors",
|
|
"Citron Pony Styles/EnergyCAT.safetensors",
|
|
"Citron Pony Styles/FlatAnimeP1.safetensors",
|
|
"Citron Pony Styles/LunarCAT_Style.safetensors",
|
|
"Citron Pony Styles/RealisticAnime.safetensors",
|
|
"Citron Pony Styles/Smooth.safetensors",
|
|
"Citron Pony Styles/Vivid.safetensors",
|
|
"Expressive_H-000001.safetensors",
|
|
"Hand v2.safetensors",
|
|
"LogoRedmondV2-Logo-LogoRedmAF.safetensors",
|
|
"NSFW/2025/cheekbulge.safetensors",
|
|
"NSFW/2025/closedmouthfullofcum.safetensors",
|
|
"NSFW/2025/doublepenetration_r1.safetensors",
|
|
"NSFW/2025/xray (1).safetensors",
|
|
"NSFW/Acts/LapBlowLyingV1.safetensors",
|
|
"NSFW/Acts/Long tongue fellatio.safetensors",
|
|
"NSFW/Acts/Proper_Grinding.safetensors",
|
|
"NSFW/Acts/Vacuum felaltio-000009.safetensors",
|
|
"NSFW/Acts/assworship.safetensors",
|
|
"NSFW/Acts/boobsuck.safetensors",
|
|
"NSFW/Acts/breasts_squeezed_together_v02.safetensors",
|
|
"NSFW/Acts/chikan_v31.safetensors",
|
|
"NSFW/Acts/concept_sideboobpeek_ponyXL.safetensors",
|
|
"NSFW/Acts/covering privates_XL_V10.safetensors",
|
|
"NSFW/Acts/facesit_pov_pdxl_goofy.safetensors",
|
|
"NSFW/Acts/grinding_pony_V10.safetensors",
|
|
"NSFW/Acts/hand_milking_pdxl_goofy.safetensors",
|
|
"NSFW/Acts/mating_press_v02-pony.safetensors",
|
|
"NSFW/Acts/pantjob.safetensors",
|
|
"NSFW/Acts/undressing_another_v05.safetensors",
|
|
"NSFW/All the way through tentacles.safetensors",
|
|
"NSFW/Deep_Throat_JAV_MIAA572_PONY_V1.safetensors",
|
|
"NSFW/FComic_1to1000_Pony_V1.safetensors",
|
|
"NSFW/FComic_HardCore_Pony_V1.safetensors",
|
|
"NSFW/Poses/Double anal back-000006.safetensors",
|
|
"NSFW/Poses/Double penetration suspended LORA-000009.safetensors",
|
|
"NSFW/Poses/Missionary DP 2-000008.safetensors",
|
|
"NSFW/Poses/Piledrive pov-000008.safetensors",
|
|
"NSFW/Poses/Pressed_Missionary_Feet_On_Chest.safetensors",
|
|
"NSFW/Poses/Pretzel.safetensors",
|
|
"NSFW/Poses/Reverse spitroast.safetensors",
|
|
"NSFW/Poses/chokesex.safetensors",
|
|
"NSFW/Poses/dp_from_behind_v01b.safetensors",
|
|
"NSFW/Poses/leg_up_side_matsubamuzushi_pony_V10.safetensors",
|
|
"NSFW/Poses/suspended_congress_kiben_pony_V10.safetensors",
|
|
"NSFW/Poses/suspensionPony.safetensors",
|
|
"NSFW/Poses/top-down_doggystyle_v02-pony.safetensors",
|
|
"NSFW/Poses/wheel_barrow_oshiguruma_pony_V10.safetensors",
|
|
"NSFW/Rough_Sex_Any_position.safetensors",
|
|
"NSFW/Saya-spread pussy(fingers).safetensors",
|
|
"NSFW/X-ray anal 3.safetensors",
|
|
"NSFW/closeprone.safetensors",
|
|
"NSFW/cumontongue.safetensors",
|
|
"NSFW/helpbj.safetensors",
|
|
"NSFW/micro_bra_pdxl_goofy.safetensors",
|
|
"NSFW/mouthful.safetensors",
|
|
"NSFW/projectile_cum_v02.safetensors",
|
|
"NSFW/pussy_sandwich_v02-pony.safetensors",
|
|
"NSFW/restroom_v02a.safetensors",
|
|
"NSFW/spp_spreadpussy-W-V1.safetensors",
|
|
"Vixon's Pony Styles/Sh4rd4n1cXLP.safetensors",
|
|
"Vixon's Pony Styles/ch33s3XLP.safetensors",
|
|
"Vixon's Pony Styles/itsyelizXLP.safetensors",
|
|
"Vixon's Pony Styles/lalangheejXLP.safetensors",
|
|
"Vixon's Pony Styles/nikkileeismeXLP.safetensors",
|
|
"Vixon's Pony Styles/tomidoronXLP.safetensors",
|
|
"WowifierXL-V2.safetensors",
|
|
"detailed_notrigger.safetensors",
|
|
"detailxl.safetensors"
|
|
],
|
|
{ "tooltip": "The name of the LoRA." }
|
|
],
|
|
"strength_model": [
|
|
"FLOAT",
|
|
{
|
|
"default": 1.0,
|
|
"min": -100.0,
|
|
"max": 100.0,
|
|
"step": 0.01,
|
|
"tooltip": "How strongly to modify the diffusion model. This value can be negative."
|
|
}
|
|
],
|
|
"strength_clip": [
|
|
"FLOAT",
|
|
{
|
|
"default": 1.0,
|
|
"min": -100.0,
|
|
"max": 100.0,
|
|
"step": 0.01,
|
|
"tooltip": "How strongly to modify the CLIP model. This value can be negative."
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"model",
|
|
"clip",
|
|
"lora_name",
|
|
"strength_model",
|
|
"strength_clip"
|
|
]
|
|
},
|
|
"output": ["MODEL", "CLIP"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["MODEL", "CLIP"],
|
|
"name": "LoraLoader",
|
|
"display_name": "Load LoRA",
|
|
"description": "LoRAs are used to modify diffusion and CLIP models, altering the way in which latents are denoised such as applying styles. Multiple LoRA nodes can be linked together.",
|
|
"python_module": "nodes",
|
|
"category": "loaders",
|
|
"output_node": false,
|
|
"output_tooltips": [
|
|
"The modified diffusion model.",
|
|
"The modified CLIP model."
|
|
]
|
|
},
|
|
"CLIPLoader": {
|
|
"input": {
|
|
"required": {
|
|
"clip_name": [[]],
|
|
"type": [
|
|
[
|
|
"stable_diffusion",
|
|
"stable_cascade",
|
|
"sd3",
|
|
"stable_audio",
|
|
"mochi",
|
|
"ltxv",
|
|
"pixart",
|
|
"cosmos",
|
|
"lumina2",
|
|
"wan"
|
|
]
|
|
]
|
|
},
|
|
"optional": { "device": [["default", "cpu"], { "advanced": true }] }
|
|
},
|
|
"input_order": {
|
|
"required": ["clip_name", "type"],
|
|
"optional": ["device"]
|
|
},
|
|
"output": ["CLIP"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CLIP"],
|
|
"name": "CLIPLoader",
|
|
"display_name": "Load CLIP",
|
|
"description": "[Recipes]\n\nstable_diffusion: clip-l\nstable_cascade: clip-g\nsd3: t5 xxl/ clip-g / clip-l\nstable_audio: t5 base\nmochi: t5 xxl\ncosmos: old t5 xxl\nlumina2: gemma 2 2B\nwan: umt5 xxl",
|
|
"python_module": "nodes",
|
|
"category": "advanced/loaders",
|
|
"output_node": false
|
|
},
|
|
"UNETLoader": {
|
|
"input": {
|
|
"required": {
|
|
"unet_name": [[]],
|
|
"weight_dtype": [
|
|
["default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2"]
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["unet_name", "weight_dtype"] },
|
|
"output": ["MODEL"],
|
|
"output_is_list": [false],
|
|
"output_name": ["MODEL"],
|
|
"name": "UNETLoader",
|
|
"display_name": "Load Diffusion Model",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "advanced/loaders",
|
|
"output_node": false
|
|
},
|
|
"DualCLIPLoader": {
|
|
"input": {
|
|
"required": {
|
|
"clip_name1": [[]],
|
|
"clip_name2": [[]],
|
|
"type": [["sdxl", "sd3", "flux", "hunyuan_video"]]
|
|
},
|
|
"optional": { "device": [["default", "cpu"], { "advanced": true }] }
|
|
},
|
|
"input_order": {
|
|
"required": ["clip_name1", "clip_name2", "type"],
|
|
"optional": ["device"]
|
|
},
|
|
"output": ["CLIP"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CLIP"],
|
|
"name": "DualCLIPLoader",
|
|
"display_name": "DualCLIPLoader",
|
|
"description": "[Recipes]\n\nsdxl: clip-l, clip-g\nsd3: clip-l, clip-g / clip-l, t5 / clip-g, t5\nflux: clip-l, t5",
|
|
"python_module": "nodes",
|
|
"category": "advanced/loaders",
|
|
"output_node": false
|
|
},
|
|
"CLIPVisionEncode": {
|
|
"input": {
|
|
"required": {
|
|
"clip_vision": ["CLIP_VISION"],
|
|
"image": ["IMAGE"],
|
|
"crop": [["center", "none"]]
|
|
}
|
|
},
|
|
"input_order": { "required": ["clip_vision", "image", "crop"] },
|
|
"output": ["CLIP_VISION_OUTPUT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CLIP_VISION_OUTPUT"],
|
|
"name": "CLIPVisionEncode",
|
|
"display_name": "CLIP Vision Encode",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning",
|
|
"output_node": false
|
|
},
|
|
"StyleModelApply": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning": ["CONDITIONING"],
|
|
"style_model": ["STYLE_MODEL"],
|
|
"clip_vision_output": ["CLIP_VISION_OUTPUT"],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001 }
|
|
],
|
|
"strength_type": [["multiply", "attn_bias"]]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"conditioning",
|
|
"style_model",
|
|
"clip_vision_output",
|
|
"strength",
|
|
"strength_type"
|
|
]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "StyleModelApply",
|
|
"display_name": "Apply Style Model",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning/style_model",
|
|
"output_node": false
|
|
},
|
|
"unCLIPConditioning": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning": ["CONDITIONING"],
|
|
"clip_vision_output": ["CLIP_VISION_OUTPUT"],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01 }
|
|
],
|
|
"noise_augmentation": [
|
|
"FLOAT",
|
|
{ "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"conditioning",
|
|
"clip_vision_output",
|
|
"strength",
|
|
"noise_augmentation"
|
|
]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "unCLIPConditioning",
|
|
"display_name": "unCLIPConditioning",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning",
|
|
"output_node": false
|
|
},
|
|
"ControlNetApply": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning": ["CONDITIONING"],
|
|
"control_net": ["CONTROL_NET"],
|
|
"image": ["IMAGE"],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["conditioning", "control_net", "image", "strength"]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ControlNetApply",
|
|
"display_name": "Apply ControlNet (OLD)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning/controlnet",
|
|
"output_node": false,
|
|
"deprecated": true
|
|
},
|
|
"ControlNetApplyAdvanced": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"control_net": ["CONTROL_NET"],
|
|
"image": ["IMAGE"],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
],
|
|
"start_percent": [
|
|
"FLOAT",
|
|
{ "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
],
|
|
"end_percent": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
]
|
|
},
|
|
"optional": { "vae": ["VAE"] }
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"positive",
|
|
"negative",
|
|
"control_net",
|
|
"image",
|
|
"strength",
|
|
"start_percent",
|
|
"end_percent"
|
|
],
|
|
"optional": ["vae"]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["positive", "negative"],
|
|
"name": "ControlNetApplyAdvanced",
|
|
"display_name": "Apply ControlNet",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning/controlnet",
|
|
"output_node": false
|
|
},
|
|
"ControlNetLoader": {
|
|
"input": { "required": { "control_net_name": [[]] } },
|
|
"input_order": { "required": ["control_net_name"] },
|
|
"output": ["CONTROL_NET"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONTROL_NET"],
|
|
"name": "ControlNetLoader",
|
|
"display_name": "Load ControlNet Model",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "loaders",
|
|
"output_node": false
|
|
},
|
|
"DiffControlNetLoader": {
|
|
"input": { "required": { "model": ["MODEL"], "control_net_name": [[]] } },
|
|
"input_order": { "required": ["model", "control_net_name"] },
|
|
"output": ["CONTROL_NET"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONTROL_NET"],
|
|
"name": "DiffControlNetLoader",
|
|
"display_name": "Load ControlNet Model (diff)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "loaders",
|
|
"output_node": false
|
|
},
|
|
"StyleModelLoader": {
|
|
"input": { "required": { "style_model_name": [[]] } },
|
|
"input_order": { "required": ["style_model_name"] },
|
|
"output": ["STYLE_MODEL"],
|
|
"output_is_list": [false],
|
|
"output_name": ["STYLE_MODEL"],
|
|
"name": "StyleModelLoader",
|
|
"display_name": "Load Style Model",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "loaders",
|
|
"output_node": false
|
|
},
|
|
"CLIPVisionLoader": {
|
|
"input": { "required": { "clip_name": [[]] } },
|
|
"input_order": { "required": ["clip_name"] },
|
|
"output": ["CLIP_VISION"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CLIP_VISION"],
|
|
"name": "CLIPVisionLoader",
|
|
"display_name": "Load CLIP Vision",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "loaders",
|
|
"output_node": false
|
|
},
|
|
"VAEDecodeTiled": {
|
|
"input": {
|
|
"required": {
|
|
"samples": ["LATENT"],
|
|
"vae": ["VAE"],
|
|
"tile_size": [
|
|
"INT",
|
|
{ "default": 512, "min": 64, "max": 4096, "step": 32 }
|
|
],
|
|
"overlap": [
|
|
"INT",
|
|
{ "default": 64, "min": 0, "max": 4096, "step": 32 }
|
|
],
|
|
"temporal_size": [
|
|
"INT",
|
|
{
|
|
"default": 64,
|
|
"min": 8,
|
|
"max": 4096,
|
|
"step": 4,
|
|
"tooltip": "Only used for video VAEs: Amount of frames to decode at a time."
|
|
}
|
|
],
|
|
"temporal_overlap": [
|
|
"INT",
|
|
{
|
|
"default": 8,
|
|
"min": 4,
|
|
"max": 4096,
|
|
"step": 4,
|
|
"tooltip": "Only used for video VAEs: Amount of frames to overlap."
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"samples",
|
|
"vae",
|
|
"tile_size",
|
|
"overlap",
|
|
"temporal_size",
|
|
"temporal_overlap"
|
|
]
|
|
},
|
|
"output": ["IMAGE"],
|
|
"output_is_list": [false],
|
|
"output_name": ["IMAGE"],
|
|
"name": "VAEDecodeTiled",
|
|
"display_name": "VAE Decode (Tiled)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "_for_testing",
|
|
"output_node": false
|
|
},
|
|
"VAEEncodeTiled": {
|
|
"input": {
|
|
"required": {
|
|
"pixels": ["IMAGE"],
|
|
"vae": ["VAE"],
|
|
"tile_size": [
|
|
"INT",
|
|
{ "default": 512, "min": 64, "max": 4096, "step": 64 }
|
|
],
|
|
"overlap": [
|
|
"INT",
|
|
{ "default": 64, "min": 0, "max": 4096, "step": 32 }
|
|
],
|
|
"temporal_size": [
|
|
"INT",
|
|
{
|
|
"default": 64,
|
|
"min": 8,
|
|
"max": 4096,
|
|
"step": 4,
|
|
"tooltip": "Only used for video VAEs: Amount of frames to encode at a time."
|
|
}
|
|
],
|
|
"temporal_overlap": [
|
|
"INT",
|
|
{
|
|
"default": 8,
|
|
"min": 4,
|
|
"max": 4096,
|
|
"step": 4,
|
|
"tooltip": "Only used for video VAEs: Amount of frames to overlap."
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"pixels",
|
|
"vae",
|
|
"tile_size",
|
|
"overlap",
|
|
"temporal_size",
|
|
"temporal_overlap"
|
|
]
|
|
},
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "VAEEncodeTiled",
|
|
"display_name": "VAE Encode (Tiled)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "_for_testing",
|
|
"output_node": false
|
|
},
|
|
"unCLIPCheckpointLoader": {
|
|
"input": {
|
|
"required": {
|
|
"ckpt_name": [
|
|
[
|
|
"Anime/autismmixSDXL_autismmixConfetti.safetensors",
|
|
"Anime/autismmixSDXL_autismmixPony.safetensors",
|
|
"Anime/ponyDiffusionV6XL_v6StartWithThisOne.safetensors",
|
|
"Anime/prefectPonyXL_v50.safetensors",
|
|
"Anime/waiANINSFWPONYXL_v11.safetensors",
|
|
"Anime/waiANINSFWPONYXL_v130.safetensors",
|
|
"Anime/waiNSFWIllustrious_v70.safetensors",
|
|
"Babes/babesBYSTABLEYOGI_xlV2.safetensors",
|
|
"Babes/babesByStableYogi_ponyV3VAE.safetensors",
|
|
"FLUX/flux1-dev-fp8.safetensors",
|
|
"RDXL/rdxlAnime_sdxlPony8.safetensors",
|
|
"RDXL/rdxlPixelArt_pony2.safetensors",
|
|
"RDXL/realDream_sdxlPony12.safetensors",
|
|
"Realism/cyberrealisticPony_v70a.safetensors",
|
|
"Realism/cyberrealisticPony_v8.safetensors",
|
|
"Realism/realvisxlV50_v50Bakedvae.safetensors",
|
|
"SD3.5/sd3.5_large_fp16.safetensors",
|
|
"SD3.5/sd3.5_large_fp8_scaled.safetensors",
|
|
"Semi-realism/bemypony_Semirealanime.safetensors",
|
|
"Semi-realism/duchaitenPonyXLNo_v60.safetensors",
|
|
"prefectPonyXL_v3.safetensors",
|
|
"sd-v1-5-inpainting.ckpt",
|
|
"v1-5-pruned-emaonly.ckpt"
|
|
]
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["ckpt_name"] },
|
|
"output": ["MODEL", "CLIP", "VAE", "CLIP_VISION"],
|
|
"output_is_list": [false, false, false, false],
|
|
"output_name": ["MODEL", "CLIP", "VAE", "CLIP_VISION"],
|
|
"name": "unCLIPCheckpointLoader",
|
|
"display_name": "unCLIPCheckpointLoader",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "loaders",
|
|
"output_node": false
|
|
},
|
|
"GLIGENLoader": {
|
|
"input": { "required": { "gligen_name": [[]] } },
|
|
"input_order": { "required": ["gligen_name"] },
|
|
"output": ["GLIGEN"],
|
|
"output_is_list": [false],
|
|
"output_name": ["GLIGEN"],
|
|
"name": "GLIGENLoader",
|
|
"display_name": "GLIGENLoader",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "loaders",
|
|
"output_node": false
|
|
},
|
|
"GLIGENTextBoxApply": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning_to": ["CONDITIONING"],
|
|
"clip": ["CLIP"],
|
|
"gligen_textbox_model": ["GLIGEN"],
|
|
"text": ["STRING", { "multiline": true, "dynamicPrompts": true }],
|
|
"width": ["INT", { "default": 64, "min": 8, "max": 16384, "step": 8 }],
|
|
"height": ["INT", { "default": 64, "min": 8, "max": 16384, "step": 8 }],
|
|
"x": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
|
|
"y": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"conditioning_to",
|
|
"clip",
|
|
"gligen_textbox_model",
|
|
"text",
|
|
"width",
|
|
"height",
|
|
"x",
|
|
"y"
|
|
]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "GLIGENTextBoxApply",
|
|
"display_name": "GLIGENTextBoxApply",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning/gligen",
|
|
"output_node": false
|
|
},
|
|
"InpaintModelConditioning": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"vae": ["VAE"],
|
|
"pixels": ["IMAGE"],
|
|
"mask": ["MASK"],
|
|
"noise_mask": [
|
|
"BOOLEAN",
|
|
{
|
|
"default": true,
|
|
"tooltip": "Add a noise mask to the latent so sampling will only happen within the mask. Might improve results or completely break things depending on the model."
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"positive",
|
|
"negative",
|
|
"vae",
|
|
"pixels",
|
|
"mask",
|
|
"noise_mask"
|
|
]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["positive", "negative", "latent"],
|
|
"name": "InpaintModelConditioning",
|
|
"display_name": "InpaintModelConditioning",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "conditioning/inpaint",
|
|
"output_node": false
|
|
},
|
|
"CheckpointLoader": {
|
|
"input": {
|
|
"required": {
|
|
"config_name": [
|
|
[
|
|
"anything_v3.yaml",
|
|
"v1-inference.yaml",
|
|
"v1-inference_clip_skip_2.yaml",
|
|
"v1-inference_clip_skip_2_fp16.yaml",
|
|
"v1-inference_fp16.yaml",
|
|
"v1-inpainting-inference.yaml",
|
|
"v2-inference-v.yaml",
|
|
"v2-inference-v_fp32.yaml",
|
|
"v2-inference.yaml",
|
|
"v2-inference_fp32.yaml",
|
|
"v2-inpainting-inference.yaml"
|
|
]
|
|
],
|
|
"ckpt_name": [
|
|
[
|
|
"Anime/autismmixSDXL_autismmixConfetti.safetensors",
|
|
"Anime/autismmixSDXL_autismmixPony.safetensors",
|
|
"Anime/ponyDiffusionV6XL_v6StartWithThisOne.safetensors",
|
|
"Anime/prefectPonyXL_v50.safetensors",
|
|
"Anime/waiANINSFWPONYXL_v11.safetensors",
|
|
"Anime/waiANINSFWPONYXL_v130.safetensors",
|
|
"Anime/waiNSFWIllustrious_v70.safetensors",
|
|
"Babes/babesBYSTABLEYOGI_xlV2.safetensors",
|
|
"Babes/babesByStableYogi_ponyV3VAE.safetensors",
|
|
"FLUX/flux1-dev-fp8.safetensors",
|
|
"RDXL/rdxlAnime_sdxlPony8.safetensors",
|
|
"RDXL/rdxlPixelArt_pony2.safetensors",
|
|
"RDXL/realDream_sdxlPony12.safetensors",
|
|
"Realism/cyberrealisticPony_v70a.safetensors",
|
|
"Realism/cyberrealisticPony_v8.safetensors",
|
|
"Realism/realvisxlV50_v50Bakedvae.safetensors",
|
|
"SD3.5/sd3.5_large_fp16.safetensors",
|
|
"SD3.5/sd3.5_large_fp8_scaled.safetensors",
|
|
"Semi-realism/bemypony_Semirealanime.safetensors",
|
|
"Semi-realism/duchaitenPonyXLNo_v60.safetensors",
|
|
"prefectPonyXL_v3.safetensors",
|
|
"sd-v1-5-inpainting.ckpt",
|
|
"v1-5-pruned-emaonly.ckpt"
|
|
]
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["config_name", "ckpt_name"] },
|
|
"output": ["MODEL", "CLIP", "VAE"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["MODEL", "CLIP", "VAE"],
|
|
"name": "CheckpointLoader",
|
|
"display_name": "Load Checkpoint With Config (DEPRECATED)",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "advanced/loaders",
|
|
"output_node": false,
|
|
"deprecated": true
|
|
},
|
|
"DiffusersLoader": {
|
|
"input": { "required": { "model_path": [[]] } },
|
|
"input_order": { "required": ["model_path"] },
|
|
"output": ["MODEL", "CLIP", "VAE"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["MODEL", "CLIP", "VAE"],
|
|
"name": "DiffusersLoader",
|
|
"display_name": "DiffusersLoader",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "advanced/loaders/deprecated",
|
|
"output_node": false
|
|
},
|
|
"LoadLatent": {
|
|
"input": { "required": { "latent": [[]] } },
|
|
"input_order": { "required": ["latent"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "LoadLatent",
|
|
"display_name": "LoadLatent",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "_for_testing",
|
|
"output_node": false
|
|
},
|
|
"SaveLatent": {
|
|
"input": {
|
|
"required": {
|
|
"samples": ["LATENT"],
|
|
"filename_prefix": ["STRING", { "default": "latents/ComfyUI" }]
|
|
},
|
|
"hidden": { "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO" }
|
|
},
|
|
"input_order": {
|
|
"required": ["samples", "filename_prefix"],
|
|
"hidden": ["prompt", "extra_pnginfo"]
|
|
},
|
|
"output": [],
|
|
"output_is_list": [],
|
|
"output_name": [],
|
|
"name": "SaveLatent",
|
|
"display_name": "SaveLatent",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "_for_testing",
|
|
"output_node": true
|
|
},
|
|
"ConditioningZeroOut": {
|
|
"input": { "required": { "conditioning": ["CONDITIONING"] } },
|
|
"input_order": { "required": ["conditioning"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningZeroOut",
|
|
"display_name": "ConditioningZeroOut",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "advanced/conditioning",
|
|
"output_node": false
|
|
},
|
|
"ConditioningSetTimestepRange": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning": ["CONDITIONING"],
|
|
"start": [
|
|
"FLOAT",
|
|
{ "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
],
|
|
"end": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["conditioning", "start", "end"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningSetTimestepRange",
|
|
"display_name": "ConditioningSetTimestepRange",
|
|
"description": "",
|
|
"python_module": "nodes",
|
|
"category": "advanced/conditioning",
|
|
"output_node": false
|
|
},
|
|
"LoraLoaderModelOnly": {
|
|
"input": {
|
|
"required": {
|
|
"model": ["MODEL"],
|
|
"lora_name": [
|
|
[
|
|
"Characters/Cortana/Cortana(revAnimated).safetensors",
|
|
"Characters/Cortana/Cortana.safetensors",
|
|
"Characters/Cortana/Cortana_XL.safetensors",
|
|
"Characters/Cortana/cortana_xl_v3.safetensors",
|
|
"Characters/D.va/DVaOWXL - by KillerUwU13_AI.safetensors",
|
|
"Characters/D.va/DVaPony.safetensors",
|
|
"Characters/Lara Croft/ClassicLara.safetensors",
|
|
"Characters/Lara Croft/LaraCroft_character-20.safetensors",
|
|
"Characters/Lara Croft/lara_croft_xl_v2.safetensors",
|
|
"Characters/Peni Parker/32dim-MR_PeniParker-PONY.safetensors",
|
|
"Characters/Peni Parker/PeniParkerRivals-10.safetensors",
|
|
"Characters/Peni Parker/Peni_Parker-000007.safetensors",
|
|
"Characters/Peni Parker/Peni_parker_marvel_rivels.safetensors",
|
|
"Characters/Samus Aran/Samus AranPonyLora.safetensors",
|
|
"Characters/Samus Aran/samus aran.safetensors",
|
|
"Characters/Samus Aran/samus-09.safetensors",
|
|
"Characters/Scarlett Johansson/Scarlett-v20.safetensors",
|
|
"Characters/Scarlett Johansson/Scarlett4.safetensors",
|
|
"Characters/Widowmaker/SDXL_ow1 Windowmaker.safetensors",
|
|
"Characters/Widowmaker/WidowmakerPonyLoRA.safetensors",
|
|
"Characters/Widowmaker/Widowmaker_cgi.safetensors",
|
|
"Characters/princess_xl_v2.safetensors",
|
|
"Characters/princess_zelda.safetensors",
|
|
"Citron Pony Styles/80s_Pop_PDXL.safetensors",
|
|
"Citron Pony Styles/Alola_Style_PDXL.safetensors",
|
|
"Citron Pony Styles/BoldToon.safetensors",
|
|
"Citron Pony Styles/CandyCuteStylePDXL.safetensors",
|
|
"Citron Pony Styles/CatalystStylePDXL.safetensors",
|
|
"Citron Pony Styles/Citron3D_PDXL.safetensors",
|
|
"Citron Pony Styles/CitronAnimeTreasure-07.safetensors",
|
|
"Citron Pony Styles/EnergyCAT.safetensors",
|
|
"Citron Pony Styles/FlatAnimeP1.safetensors",
|
|
"Citron Pony Styles/LunarCAT_Style.safetensors",
|
|
"Citron Pony Styles/RealisticAnime.safetensors",
|
|
"Citron Pony Styles/Smooth.safetensors",
|
|
"Citron Pony Styles/Vivid.safetensors",
|
|
"Expressive_H-000001.safetensors",
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|
"Hand v2.safetensors",
|
|
"LogoRedmondV2-Logo-LogoRedmAF.safetensors",
|
|
"NSFW/2025/cheekbulge.safetensors",
|
|
"NSFW/2025/closedmouthfullofcum.safetensors",
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|
"NSFW/2025/doublepenetration_r1.safetensors",
|
|
"NSFW/2025/xray (1).safetensors",
|
|
"NSFW/Acts/LapBlowLyingV1.safetensors",
|
|
"NSFW/Acts/Long tongue fellatio.safetensors",
|
|
"NSFW/Acts/Proper_Grinding.safetensors",
|
|
"NSFW/Acts/Vacuum felaltio-000009.safetensors",
|
|
"NSFW/Acts/assworship.safetensors",
|
|
"NSFW/Acts/boobsuck.safetensors",
|
|
"NSFW/Acts/breasts_squeezed_together_v02.safetensors",
|
|
"NSFW/Acts/chikan_v31.safetensors",
|
|
"NSFW/Acts/concept_sideboobpeek_ponyXL.safetensors",
|
|
"NSFW/Acts/covering privates_XL_V10.safetensors",
|
|
"NSFW/Acts/facesit_pov_pdxl_goofy.safetensors",
|
|
"NSFW/Acts/grinding_pony_V10.safetensors",
|
|
"NSFW/Acts/hand_milking_pdxl_goofy.safetensors",
|
|
"NSFW/Acts/mating_press_v02-pony.safetensors",
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"NSFW/Acts/pantjob.safetensors",
|
|
"NSFW/Acts/undressing_another_v05.safetensors",
|
|
"NSFW/All the way through tentacles.safetensors",
|
|
"NSFW/Deep_Throat_JAV_MIAA572_PONY_V1.safetensors",
|
|
"NSFW/FComic_1to1000_Pony_V1.safetensors",
|
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"NSFW/FComic_HardCore_Pony_V1.safetensors",
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"NSFW/Poses/Double anal back-000006.safetensors",
|
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"NSFW/Poses/Double penetration suspended LORA-000009.safetensors",
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"NSFW/Poses/Missionary DP 2-000008.safetensors",
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|
"NSFW/Poses/Piledrive pov-000008.safetensors",
|
|
"NSFW/Poses/Pressed_Missionary_Feet_On_Chest.safetensors",
|
|
"NSFW/Poses/Pretzel.safetensors",
|
|
"NSFW/Poses/Reverse spitroast.safetensors",
|
|
"NSFW/Poses/chokesex.safetensors",
|
|
"NSFW/Poses/dp_from_behind_v01b.safetensors",
|
|
"NSFW/Poses/leg_up_side_matsubamuzushi_pony_V10.safetensors",
|
|
"NSFW/Poses/suspended_congress_kiben_pony_V10.safetensors",
|
|
"NSFW/Poses/suspensionPony.safetensors",
|
|
"NSFW/Poses/top-down_doggystyle_v02-pony.safetensors",
|
|
"NSFW/Poses/wheel_barrow_oshiguruma_pony_V10.safetensors",
|
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"NSFW/Rough_Sex_Any_position.safetensors",
|
|
"NSFW/Saya-spread pussy(fingers).safetensors",
|
|
"NSFW/X-ray anal 3.safetensors",
|
|
"NSFW/closeprone.safetensors",
|
|
"NSFW/cumontongue.safetensors",
|
|
"NSFW/helpbj.safetensors",
|
|
"NSFW/micro_bra_pdxl_goofy.safetensors",
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"NSFW/mouthful.safetensors",
|
|
"NSFW/projectile_cum_v02.safetensors",
|
|
"NSFW/pussy_sandwich_v02-pony.safetensors",
|
|
"NSFW/restroom_v02a.safetensors",
|
|
"NSFW/spp_spreadpussy-W-V1.safetensors",
|
|
"Vixon's Pony Styles/Sh4rd4n1cXLP.safetensors",
|
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"Vixon's Pony Styles/ch33s3XLP.safetensors",
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"Vixon's Pony Styles/itsyelizXLP.safetensors",
|
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"Vixon's Pony Styles/lalangheejXLP.safetensors",
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"Vixon's Pony Styles/nikkileeismeXLP.safetensors",
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"Vixon's Pony Styles/tomidoronXLP.safetensors",
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|
"WowifierXL-V2.safetensors",
|
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"detailed_notrigger.safetensors",
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|
"detailxl.safetensors"
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|
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},
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"display_name": "LatentApplyOperation",
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},
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"LatentApplyOperationCFG": {
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},
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},
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"LatentOperationSharpen": {
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"input": {
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"required": {
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{ "default": 9, "min": 1, "max": 31, "step": 1 }
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{ "default": 1.0, "min": 0.1, "max": 10.0, "step": 0.1 }
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{ "default": 0.1, "min": 0.0, "max": 5.0, "step": 0.01 }
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]
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}
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},
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"input_order": { "required": ["sharpen_radius", "sigma", "alpha"] },
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"display_name": "LatentOperationSharpen",
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"description": "",
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"experimental": true
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},
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"input": {
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{ "default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01 }
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},
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"output": ["MODEL"],
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"description": "",
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"output_node": false
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},
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"UpscaleModelLoader": {
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"input": {
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"required": {
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"model_name": [
|
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[
|
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"4x-AnimeSharp.pth",
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|
"4x-UltraSharp.pth",
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|
"4xNMKDSuperscale_4xNMKDSuperscale.pt",
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"ESRGAN_4x.pth",
|
|
"GFPGANv1.4.pth",
|
|
"RealESRGAN_x4plus.pth",
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|
"RealESRGAN_x4plus_anime_6B.pth",
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"SwinIR_4x.pth"
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]
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]
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}
|
|
},
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"input_order": { "required": ["model_name"] },
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"output": ["UPSCALE_MODEL"],
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"output_name": ["UPSCALE_MODEL"],
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"python_module": "comfy_extras.nodes_upscale_model",
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"category": "loaders",
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"output_node": false
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},
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"required": { "upscale_model": ["UPSCALE_MODEL"], "image": ["IMAGE"] }
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},
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"input": {
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{ "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01 }
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],
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[
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}
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},
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},
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"python_module": "comfy_extras.nodes_post_processing",
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},
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"python_module": "comfy_extras.nodes_post_processing",
|
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"category": "image/postprocessing",
|
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"output_node": false
|
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},
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"ImageSharpen": {
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"input": {
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"required": {
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"image": ["IMAGE"],
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"sharpen_radius": [
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"INT",
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{ "default": 1, "min": 1, "max": 31, "step": 1 }
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|
],
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"sigma": [
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"FLOAT",
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{ "default": 1.0, "min": 0.1, "max": 10.0, "step": 0.01 }
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],
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"alpha": [
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"FLOAT",
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{ "default": 1.0, "min": 0.0, "max": 5.0, "step": 0.01 }
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]
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}
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},
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"input_order": {
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"required": ["image", "sharpen_radius", "sigma", "alpha"]
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},
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"output": ["IMAGE"],
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"output_is_list": [false],
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"output_name": ["IMAGE"],
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"name": "ImageSharpen",
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"display_name": "Image Sharpen",
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"description": "",
|
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"python_module": "comfy_extras.nodes_post_processing",
|
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"category": "image/postprocessing",
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"output_node": false
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},
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"ImageScaleToTotalPixels": {
|
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"input": {
|
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"required": {
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"image": ["IMAGE"],
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"upscale_method": [
|
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["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
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],
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"megapixels": [
|
|
"FLOAT",
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{ "default": 1.0, "min": 0.01, "max": 16.0, "step": 0.01 }
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]
|
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}
|
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},
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"input_order": { "required": ["image", "upscale_method", "megapixels"] },
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"output": ["IMAGE"],
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"output_is_list": [false],
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"output_name": ["IMAGE"],
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"name": "ImageScaleToTotalPixels",
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|
"display_name": "Scale Image to Total Pixels",
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|
"description": "",
|
|
"python_module": "comfy_extras.nodes_post_processing",
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"category": "image/upscaling",
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"output_node": false
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},
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"LatentCompositeMasked": {
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"input": {
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"required": {
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"destination": ["LATENT"],
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"source": ["LATENT"],
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"x": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
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"y": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 8 }],
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"resize_source": ["BOOLEAN", { "default": false }]
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},
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"optional": { "mask": ["MASK"] }
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},
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"input_order": {
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"required": ["destination", "source", "x", "y", "resize_source"],
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"optional": ["mask"]
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},
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"output": ["LATENT"],
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"output_is_list": [false],
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"output_name": ["LATENT"],
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"name": "LatentCompositeMasked",
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"display_name": "LatentCompositeMasked",
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"description": "",
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"python_module": "comfy_extras.nodes_mask",
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"category": "latent",
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"output_node": false
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},
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"ImageCompositeMasked": {
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"input": {
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"destination": ["IMAGE"],
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"source": ["IMAGE"],
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"x": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 1 }],
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"y": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 1 }],
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"resize_source": ["BOOLEAN", { "default": false }]
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},
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"optional": { "mask": ["MASK"] }
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},
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"input_order": {
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"required": ["destination", "source", "x", "y", "resize_source"],
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"optional": ["mask"]
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},
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"output": ["IMAGE"],
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"output_is_list": [false],
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"output_name": ["IMAGE"],
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"name": "ImageCompositeMasked",
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"display_name": "ImageCompositeMasked",
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"description": "",
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"python_module": "comfy_extras.nodes_mask",
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"category": "image",
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"output_node": false
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},
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"MaskToImage": {
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"input": { "required": { "mask": ["MASK"] } },
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"input_order": { "required": ["mask"] },
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"output": ["IMAGE"],
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"output_is_list": [false],
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|
"output_name": ["IMAGE"],
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"name": "MaskToImage",
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|
"display_name": "Convert Mask to Image",
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"description": "",
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|
"python_module": "comfy_extras.nodes_mask",
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|
"category": "mask",
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"output_node": false
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},
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"ImageToMask": {
|
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"input": {
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"required": {
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"image": ["IMAGE"],
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"channel": [["red", "green", "blue", "alpha"]]
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}
|
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},
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"input_order": { "required": ["image", "channel"] },
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|
"output": ["MASK"],
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"output_is_list": [false],
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|
"output_name": ["MASK"],
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|
"name": "ImageToMask",
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|
"display_name": "Convert Image to Mask",
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|
"description": "",
|
|
"python_module": "comfy_extras.nodes_mask",
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|
"category": "mask",
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"output_node": false
|
|
},
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"ImageColorToMask": {
|
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"input": {
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"required": {
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"image": ["IMAGE"],
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"color": [
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"INT",
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{
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"default": 0,
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"min": 0,
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"max": 16777215,
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"step": 1,
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"display": "color"
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}
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]
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}
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},
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"input_order": { "required": ["image", "color"] },
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"output": ["MASK"],
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"output_is_list": [false],
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"output_name": ["MASK"],
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"name": "ImageColorToMask",
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"display_name": "ImageColorToMask",
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"description": "",
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"python_module": "comfy_extras.nodes_mask",
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"category": "mask",
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"output_node": false
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},
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"SolidMask": {
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"input": {
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"required": {
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"value": [
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"FLOAT",
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{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
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],
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"width": ["INT", { "default": 512, "min": 1, "max": 16384, "step": 1 }],
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"height": ["INT", { "default": 512, "min": 1, "max": 16384, "step": 1 }]
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}
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},
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"input_order": { "required": ["value", "width", "height"] },
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"output": ["MASK"],
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"output_is_list": [false],
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"output_name": ["MASK"],
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"name": "SolidMask",
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"display_name": "SolidMask",
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"description": "",
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"python_module": "comfy_extras.nodes_mask",
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"category": "mask",
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"output_node": false
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},
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"InvertMask": {
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"input": { "required": { "mask": ["MASK"] } },
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"output": ["MASK"],
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"output_name": ["MASK"],
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"name": "InvertMask",
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"display_name": "InvertMask",
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|
"description": "",
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"python_module": "comfy_extras.nodes_mask",
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"category": "mask",
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"output_node": false
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},
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"width": ["INT", { "default": 512, "min": 1, "max": 16384, "step": 1 }],
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"height": ["INT", { "default": 512, "min": 1, "max": 16384, "step": 1 }]
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}
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"output": ["MASK"],
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"output_is_list": [false],
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"output_name": ["MASK"],
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"name": "CropMask",
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"display_name": "CropMask",
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"description": "",
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"python_module": "comfy_extras.nodes_mask",
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"category": "mask",
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"output_node": false
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},
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"input": {
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"destination": ["MASK"],
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"source": ["MASK"],
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"y": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 1 }],
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"operation": [["multiply", "add", "subtract", "and", "or", "xor"]]
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"required": ["destination", "source", "x", "y", "operation"]
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"output_name": ["MASK"],
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"name": "MaskComposite",
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"display_name": "MaskComposite",
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"description": "",
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"python_module": "comfy_extras.nodes_mask",
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"category": "mask",
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"output_node": false
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},
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"right": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 1 }],
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"bottom": ["INT", { "default": 0, "min": 0, "max": 16384, "step": 1 }]
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"input_order": { "required": ["mask", "left", "top", "right", "bottom"] },
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"output": ["MASK"],
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"output_name": ["MASK"],
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"name": "FeatherMask",
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"display_name": "FeatherMask",
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"description": "",
|
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"python_module": "comfy_extras.nodes_mask",
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|
"category": "mask",
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"output_node": false
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},
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"input": {
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"mask": ["MASK"],
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"expand": [
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"INT",
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|
{ "default": 0, "min": -16384, "max": 16384, "step": 1 }
|
|
],
|
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"tapered_corners": ["BOOLEAN", { "default": true }]
|
|
}
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},
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"input_order": { "required": ["mask", "expand", "tapered_corners"] },
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"output": ["MASK"],
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"output_name": ["MASK"],
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"name": "GrowMask",
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"display_name": "GrowMask",
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"description": "",
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|
"python_module": "comfy_extras.nodes_mask",
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"category": "mask",
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"output_node": false
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},
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"ThresholdMask": {
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"FLOAT",
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{ "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01 }
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"output_name": ["MASK"],
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"description": "",
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|
"python_module": "comfy_extras.nodes_mask",
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|
"category": "mask",
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"output_node": false
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|
},
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"PorterDuffImageComposite": {
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"input": {
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|
"source": ["IMAGE"],
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|
"source_alpha": ["MASK"],
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"destination": ["IMAGE"],
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"destination_alpha": ["MASK"],
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|
"mode": [
|
|
[
|
|
"ADD",
|
|
"CLEAR",
|
|
"DARKEN",
|
|
"DST",
|
|
"DST_ATOP",
|
|
"DST_IN",
|
|
"DST_OUT",
|
|
"DST_OVER",
|
|
"LIGHTEN",
|
|
"MULTIPLY",
|
|
"OVERLAY",
|
|
"SCREEN",
|
|
"SRC",
|
|
"SRC_ATOP",
|
|
"SRC_IN",
|
|
"SRC_OUT",
|
|
"SRC_OVER",
|
|
"XOR"
|
|
],
|
|
{ "default": "DST" }
|
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]
|
|
}
|
|
},
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|
"input_order": {
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"required": [
|
|
"source",
|
|
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|
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|
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|
"mode"
|
|
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|
|
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"output": ["IMAGE", "MASK"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["IMAGE", "MASK"],
|
|
"name": "PorterDuffImageComposite",
|
|
"display_name": "Porter-Duff Image Composite",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_compositing",
|
|
"category": "mask/compositing",
|
|
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|
|
},
|
|
"SplitImageWithAlpha": {
|
|
"input": { "required": { "image": ["IMAGE"] } },
|
|
"input_order": { "required": ["image"] },
|
|
"output": ["IMAGE", "MASK"],
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|
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|
"output_name": ["IMAGE", "MASK"],
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|
"name": "SplitImageWithAlpha",
|
|
"display_name": "Split Image with Alpha",
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|
"description": "",
|
|
"python_module": "comfy_extras.nodes_compositing",
|
|
"category": "mask/compositing",
|
|
"output_node": false
|
|
},
|
|
"JoinImageWithAlpha": {
|
|
"input": { "required": { "image": ["IMAGE"], "alpha": ["MASK"] } },
|
|
"input_order": { "required": ["image", "alpha"] },
|
|
"output": ["IMAGE"],
|
|
"output_is_list": [false],
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|
"output_name": ["IMAGE"],
|
|
"name": "JoinImageWithAlpha",
|
|
"display_name": "Join Image with Alpha",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_compositing",
|
|
"category": "mask/compositing",
|
|
"output_node": false
|
|
},
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|
"RebatchLatents": {
|
|
"input": {
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|
"latents": ["LATENT"],
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|
|
}
|
|
},
|
|
"input_order": { "required": ["latents", "batch_size"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [true],
|
|
"output_name": ["LATENT"],
|
|
"name": "RebatchLatents",
|
|
"display_name": "Rebatch Latents",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_rebatch",
|
|
"category": "latent/batch",
|
|
"output_node": false
|
|
},
|
|
"RebatchImages": {
|
|
"input": {
|
|
"required": {
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|
"images": ["IMAGE"],
|
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|
|
}
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|
},
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|
"input_order": { "required": ["images", "batch_size"] },
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|
"output": ["IMAGE"],
|
|
"output_is_list": [true],
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|
"output_name": ["IMAGE"],
|
|
"name": "RebatchImages",
|
|
"display_name": "Rebatch Images",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_rebatch",
|
|
"category": "image/batch",
|
|
"output_node": false
|
|
},
|
|
"ModelMergeSimple": {
|
|
"input": {
|
|
"required": {
|
|
"model1": ["MODEL"],
|
|
"model2": ["MODEL"],
|
|
"ratio": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
|
|
]
|
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}
|
|
},
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"input_order": { "required": ["model1", "model2", "ratio"] },
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|
"output": ["MODEL"],
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"output_is_list": [false],
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|
"output_name": ["MODEL"],
|
|
"name": "ModelMergeSimple",
|
|
"display_name": "ModelMergeSimple",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_model_merging",
|
|
"category": "advanced/model_merging",
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|
"output_node": false
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|
},
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|
"ModelMergeBlocks": {
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"input": {
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"required": {
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|
"model1": ["MODEL"],
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|
"model2": ["MODEL"],
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"input": [
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|
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|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
|
|
],
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|
"FLOAT",
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|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
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|
],
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|
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{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
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]
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}
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},
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"output": ["MODEL"],
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"output_is_list": [false],
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"output_name": ["MODEL"],
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|
"name": "ModelMergeBlocks",
|
|
"display_name": "ModelMergeBlocks",
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|
"description": "",
|
|
"python_module": "comfy_extras.nodes_model_merging",
|
|
"category": "advanced/model_merging",
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|
"output_node": false
|
|
},
|
|
"ModelMergeSubtract": {
|
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"input": {
|
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"required": {
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"model1": ["MODEL"],
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"model2": ["MODEL"],
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"multiplier": [
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|
"FLOAT",
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{ "default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01 }
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]
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}
|
|
},
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"input_order": { "required": ["model1", "model2", "multiplier"] },
|
|
"output": ["MODEL"],
|
|
"output_is_list": [false],
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|
"output_name": ["MODEL"],
|
|
"name": "ModelMergeSubtract",
|
|
"display_name": "ModelMergeSubtract",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_model_merging",
|
|
"category": "advanced/model_merging",
|
|
"output_node": false
|
|
},
|
|
"ModelMergeAdd": {
|
|
"input": { "required": { "model1": ["MODEL"], "model2": ["MODEL"] } },
|
|
"input_order": { "required": ["model1", "model2"] },
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}
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"required": [
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"model",
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"positive",
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"negative",
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"empty_conditioning",
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"cfg",
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"neg_scale"
|
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]
|
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},
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"output": ["GUIDER"],
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"output_is_list": [false],
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"output_name": ["GUIDER"],
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"name": "PerpNegGuider",
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"display_name": "PerpNegGuider",
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"description": "",
|
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"python_module": "comfy_extras.nodes_perpneg",
|
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"category": "_for_testing",
|
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"output_node": false
|
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},
|
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"StableZero123_Conditioning": {
|
|
"input": {
|
|
"required": {
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"clip_vision": ["CLIP_VISION"],
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"init_image": ["IMAGE"],
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"vae": ["VAE"],
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"width": [
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"INT",
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{ "default": 256, "min": 16, "max": 16384, "step": 8 }
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],
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"height": [
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"INT",
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{ "default": 256, "min": 16, "max": 16384, "step": 8 }
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],
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"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }],
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"step": 0.1,
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"round": false
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}
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"round": false
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}
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]
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}
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},
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"height",
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"batch_size",
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"elevation",
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"azimuth"
|
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]
|
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},
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"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
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"output_is_list": [false, false, false],
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"output_name": ["positive", "negative", "latent"],
|
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"name": "StableZero123_Conditioning",
|
|
"display_name": "StableZero123_Conditioning",
|
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"description": "",
|
|
"python_module": "comfy_extras.nodes_stable3d",
|
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"category": "conditioning/3d_models",
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"output_node": false
|
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},
|
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"INT",
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{ "default": 256, "min": 16, "max": 16384, "step": 8 }
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],
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"height": [
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"INT",
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{ "default": 256, "min": 16, "max": 16384, "step": 8 }
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"round": false
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"required": [
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"vae",
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"width",
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"height",
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"batch_size",
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"elevation",
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"azimuth",
|
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"elevation_batch_increment",
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"azimuth_batch_increment"
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]
|
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},
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"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
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"output_is_list": [false, false, false],
|
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"output_name": ["positive", "negative", "latent"],
|
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"name": "StableZero123_Conditioning_Batched",
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"display_name": "StableZero123_Conditioning_Batched",
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"description": "",
|
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"python_module": "comfy_extras.nodes_stable3d",
|
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"category": "conditioning/3d_models",
|
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"output_node": false
|
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},
|
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"SV3D_Conditioning": {
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"input": {
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"INT",
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{ "default": 576, "min": 16, "max": 16384, "step": 8 }
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],
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"height": [
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"INT",
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{ "default": 576, "min": 16, "max": 16384, "step": 8 }
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"FLOAT",
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"default": 0.0,
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"round": false
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},
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"height",
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"video_frames",
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"elevation"
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|
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},
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"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
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"output_is_list": [false, false, false],
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"output_name": ["positive", "negative", "latent"],
|
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"name": "SV3D_Conditioning",
|
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"display_name": "SV3D_Conditioning",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_stable3d",
|
|
"category": "conditioning/3d_models",
|
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"output_node": false
|
|
},
|
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"SD_4XUpscale_Conditioning": {
|
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"input": {
|
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"required": {
|
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"images": ["IMAGE"],
|
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"positive": ["CONDITIONING"],
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"scale_ratio": [
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"FLOAT",
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{ "default": 4.0, "min": 0.0, "max": 10.0, "step": 0.01 }
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],
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{ "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001 }
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"images",
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"positive",
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"negative",
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"scale_ratio",
|
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"noise_augmentation"
|
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|
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"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
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"output_is_list": [false, false, false],
|
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"output_name": ["positive", "negative", "latent"],
|
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"name": "SD_4XUpscale_Conditioning",
|
|
"display_name": "SD_4XUpscale_Conditioning",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_sdupscale",
|
|
"category": "conditioning/upscale_diffusion",
|
|
"output_node": false
|
|
},
|
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|
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"input": { "required": { "photomaker_model_name": [[]] } },
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"output": ["PHOTOMAKER"],
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"output_is_list": [false],
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"output_name": ["PHOTOMAKER"],
|
|
"name": "PhotoMakerLoader",
|
|
"display_name": "PhotoMakerLoader",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_photomaker",
|
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|
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"output_node": false
|
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},
|
|
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"input": {
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|
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"image": ["IMAGE"],
|
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"clip": ["CLIP"],
|
|
"text": [
|
|
"STRING",
|
|
{
|
|
"multiline": true,
|
|
"dynamicPrompts": true,
|
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|
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}
|
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|
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}
|
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},
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|
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|
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"output_name": ["CONDITIONING"],
|
|
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|
|
"display_name": "PhotoMakerEncode",
|
|
"description": "",
|
|
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|
|
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|
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|
|
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|
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|
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|
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}
|
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|
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|
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"output_name": ["CONDITIONING"],
|
|
"name": "CLIPTextEncodePixArtAlpha",
|
|
"display_name": "CLIPTextEncodePixArtAlpha",
|
|
"description": "Encodes text and sets the resolution conditioning for PixArt Alpha. Does not apply to PixArt Sigma.",
|
|
"python_module": "comfy_extras.nodes_pixart",
|
|
"category": "advanced/conditioning",
|
|
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|
|
},
|
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|
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|
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|
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|
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|
|
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|
|
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|
|
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|
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|
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},
|
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|
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|
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[
|
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|
|
"dilate",
|
|
"open",
|
|
"close",
|
|
"gradient",
|
|
"bottom_hat",
|
|
"top_hat"
|
|
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],
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{ "default": 3, "min": 3, "max": 999, "step": 1 }
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},
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|
"output": ["IMAGE"],
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|
|
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|
|
"name": "Morphology",
|
|
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|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_morphology",
|
|
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|
|
"output_node": false
|
|
},
|
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|
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|
{ "default": 1024, "min": 256, "max": 16384, "step": 8 }
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|
],
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|
"INT",
|
|
{ "default": 1024, "min": 256, "max": 16384, "step": 8 }
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|
],
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|
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"INT",
|
|
{ "default": 42, "min": 4, "max": 128, "step": 1 }
|
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|
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|
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|
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"output_name": ["stage_c", "stage_b"],
|
|
"name": "StableCascade_EmptyLatentImage",
|
|
"display_name": "StableCascade_EmptyLatentImage",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_stable_cascade",
|
|
"category": "latent/stable_cascade",
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"output_node": false
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},
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"input": {
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},
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"input_order": { "required": ["conditioning", "stage_c"] },
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|
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|
|
"display_name": "StableCascade_StageB_Conditioning",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_stable_cascade",
|
|
"category": "conditioning/stable_cascade",
|
|
"output_node": false
|
|
},
|
|
"StableCascade_StageC_VAEEncode": {
|
|
"input": {
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"compression": [
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|
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|
|
{ "default": 42, "min": 4, "max": 128, "step": 1 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["image", "vae", "compression"] },
|
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|
|
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"output_name": ["stage_c", "stage_b"],
|
|
"name": "StableCascade_StageC_VAEEncode",
|
|
"display_name": "StableCascade_StageC_VAEEncode",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_stable_cascade",
|
|
"category": "latent/stable_cascade",
|
|
"output_node": false
|
|
},
|
|
"StableCascade_SuperResolutionControlnet": {
|
|
"input": { "required": { "image": ["IMAGE"], "vae": ["VAE"] } },
|
|
"input_order": { "required": ["image", "vae"] },
|
|
"output": ["IMAGE", "LATENT", "LATENT"],
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|
"output_is_list": [false, false, false],
|
|
"output_name": ["controlnet_input", "stage_c", "stage_b"],
|
|
"name": "StableCascade_SuperResolutionControlnet",
|
|
"display_name": "StableCascade_SuperResolutionControlnet",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_stable_cascade",
|
|
"category": "_for_testing/stable_cascade",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"DifferentialDiffusion": {
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"input": { "required": { "model": ["MODEL"] } },
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"input_order": { "required": ["model"] },
|
|
"output": ["MODEL"],
|
|
"output_is_list": [false],
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|
"output_name": ["MODEL"],
|
|
"name": "DifferentialDiffusion",
|
|
"display_name": "Differential Diffusion",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_differential_diffusion",
|
|
"category": "_for_testing",
|
|
"output_node": false
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|
},
|
|
"InstructPixToPixConditioning": {
|
|
"input": {
|
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"required": {
|
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"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"vae": ["VAE"],
|
|
"pixels": ["IMAGE"]
|
|
}
|
|
},
|
|
"input_order": { "required": ["positive", "negative", "vae", "pixels"] },
|
|
"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["positive", "negative", "latent"],
|
|
"name": "InstructPixToPixConditioning",
|
|
"display_name": "InstructPixToPixConditioning",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_ip2p",
|
|
"category": "conditioning/instructpix2pix",
|
|
"output_node": false
|
|
},
|
|
"ModelMergeSD1": {
|
|
"input": {
|
|
"required": {
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|
"model1": ["MODEL"],
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"model2": ["MODEL"],
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|
"time_embed.": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
|
|
],
|
|
"label_emb.": [
|
|
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|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
|
|
],
|
|
"input_blocks.0.": [
|
|
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|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
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|
],
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"input_blocks.1.": [
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|
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|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
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|
],
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"input_blocks.2.": [
|
|
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|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
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|
],
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"input_blocks.3.": [
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|
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{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
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|
],
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"input_blocks.4.": [
|
|
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|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
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|
],
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{ "default": 0.15, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["model", "layers", "scale", "start_percent", "end_percent"]
|
|
},
|
|
"output": ["MODEL"],
|
|
"output_is_list": [false],
|
|
"output_name": ["MODEL"],
|
|
"name": "SkipLayerGuidanceSD3",
|
|
"display_name": "SkipLayerGuidanceSD3",
|
|
"description": "Generic version of SkipLayerGuidance node that can be used on every DiT model.",
|
|
"python_module": "comfy_extras.nodes_sd3",
|
|
"category": "advanced/guidance",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"GITSScheduler": {
|
|
"input": {
|
|
"required": {
|
|
"coeff": [
|
|
"FLOAT",
|
|
{ "default": 1.2, "min": 0.8, "max": 1.5, "step": 0.05 }
|
|
],
|
|
"steps": ["INT", { "default": 10, "min": 2, "max": 1000 }],
|
|
"denoise": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["coeff", "steps", "denoise"] },
|
|
"output": ["SIGMAS"],
|
|
"output_is_list": [false],
|
|
"output_name": ["SIGMAS"],
|
|
"name": "GITSScheduler",
|
|
"display_name": "GITSScheduler",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_gits",
|
|
"category": "sampling/custom_sampling/schedulers",
|
|
"output_node": false
|
|
},
|
|
"SetUnionControlNetType": {
|
|
"input": {
|
|
"required": {
|
|
"control_net": ["CONTROL_NET"],
|
|
"type": [
|
|
[
|
|
"auto",
|
|
"openpose",
|
|
"depth",
|
|
"hed/pidi/scribble/ted",
|
|
"canny/lineart/anime_lineart/mlsd",
|
|
"normal",
|
|
"segment",
|
|
"tile",
|
|
"repaint"
|
|
]
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["control_net", "type"] },
|
|
"output": ["CONTROL_NET"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONTROL_NET"],
|
|
"name": "SetUnionControlNetType",
|
|
"display_name": "SetUnionControlNetType",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_controlnet",
|
|
"category": "conditioning/controlnet",
|
|
"output_node": false
|
|
},
|
|
"ControlNetInpaintingAliMamaApply": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"control_net": ["CONTROL_NET"],
|
|
"vae": ["VAE"],
|
|
"image": ["IMAGE"],
|
|
"mask": ["MASK"],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
],
|
|
"start_percent": [
|
|
"FLOAT",
|
|
{ "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
],
|
|
"end_percent": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"positive",
|
|
"negative",
|
|
"control_net",
|
|
"vae",
|
|
"image",
|
|
"mask",
|
|
"strength",
|
|
"start_percent",
|
|
"end_percent"
|
|
]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["positive", "negative"],
|
|
"name": "ControlNetInpaintingAliMamaApply",
|
|
"display_name": "ControlNetInpaintingAliMamaApply",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_controlnet",
|
|
"category": "conditioning/controlnet",
|
|
"output_node": false
|
|
},
|
|
"CLIPTextEncodeHunyuanDiT": {
|
|
"input": {
|
|
"required": {
|
|
"clip": ["CLIP"],
|
|
"bert": ["STRING", { "multiline": true, "dynamicPrompts": true }],
|
|
"mt5xl": ["STRING", { "multiline": true, "dynamicPrompts": true }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["clip", "bert", "mt5xl"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "CLIPTextEncodeHunyuanDiT",
|
|
"display_name": "CLIPTextEncodeHunyuanDiT",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hunyuan",
|
|
"category": "advanced/conditioning",
|
|
"output_node": false
|
|
},
|
|
"TextEncodeHunyuanVideo_ImageToVideo": {
|
|
"input": {
|
|
"required": {
|
|
"clip": ["CLIP"],
|
|
"clip_vision_output": ["CLIP_VISION_OUTPUT"],
|
|
"prompt": ["STRING", { "multiline": true, "dynamicPrompts": true }],
|
|
"image_interleave": [
|
|
"INT",
|
|
{
|
|
"default": 2,
|
|
"min": 1,
|
|
"max": 512,
|
|
"tooltip": "How much the image influences things vs the text prompt. Higher number means more influence from the text prompt."
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["clip", "clip_vision_output", "prompt", "image_interleave"]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "TextEncodeHunyuanVideo_ImageToVideo",
|
|
"display_name": "TextEncodeHunyuanVideo_ImageToVideo",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hunyuan",
|
|
"category": "advanced/conditioning",
|
|
"output_node": false
|
|
},
|
|
"EmptyHunyuanLatentVideo": {
|
|
"input": {
|
|
"required": {
|
|
"width": [
|
|
"INT",
|
|
{ "default": 848, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 480, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"length": ["INT", { "default": 25, "min": 1, "max": 16384, "step": 4 }],
|
|
"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["width", "height", "length", "batch_size"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "EmptyHunyuanLatentVideo",
|
|
"display_name": "EmptyHunyuanLatentVideo",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hunyuan",
|
|
"category": "latent/video",
|
|
"output_node": false
|
|
},
|
|
"HunyuanImageToVideo": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"vae": ["VAE"],
|
|
"width": [
|
|
"INT",
|
|
{ "default": 848, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 480, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"length": ["INT", { "default": 53, "min": 1, "max": 16384, "step": 4 }],
|
|
"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }],
|
|
"guidance_type": [["v1 (concat)", "v2 (replace)"]]
|
|
},
|
|
"optional": { "start_image": ["IMAGE"] }
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"positive",
|
|
"vae",
|
|
"width",
|
|
"height",
|
|
"length",
|
|
"batch_size",
|
|
"guidance_type"
|
|
],
|
|
"optional": ["start_image"]
|
|
},
|
|
"output": ["CONDITIONING", "LATENT"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["positive", "latent"],
|
|
"name": "HunyuanImageToVideo",
|
|
"display_name": "HunyuanImageToVideo",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hunyuan",
|
|
"category": "conditioning/video_models",
|
|
"output_node": false
|
|
},
|
|
"CLIPTextEncodeFlux": {
|
|
"input": {
|
|
"required": {
|
|
"clip": ["CLIP"],
|
|
"clip_l": ["STRING", { "multiline": true, "dynamicPrompts": true }],
|
|
"t5xxl": ["STRING", { "multiline": true, "dynamicPrompts": true }],
|
|
"guidance": [
|
|
"FLOAT",
|
|
{ "default": 3.5, "min": 0.0, "max": 100.0, "step": 0.1 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["clip", "clip_l", "t5xxl", "guidance"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "CLIPTextEncodeFlux",
|
|
"display_name": "CLIPTextEncodeFlux",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_flux",
|
|
"category": "advanced/conditioning/flux",
|
|
"output_node": false
|
|
},
|
|
"FluxGuidance": {
|
|
"input": {
|
|
"required": {
|
|
"conditioning": ["CONDITIONING"],
|
|
"guidance": [
|
|
"FLOAT",
|
|
{ "default": 3.5, "min": 0.0, "max": 100.0, "step": 0.1 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["conditioning", "guidance"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "FluxGuidance",
|
|
"display_name": "FluxGuidance",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_flux",
|
|
"category": "advanced/conditioning/flux",
|
|
"output_node": false
|
|
},
|
|
"FluxDisableGuidance": {
|
|
"input": { "required": { "conditioning": ["CONDITIONING"] } },
|
|
"input_order": { "required": ["conditioning"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "FluxDisableGuidance",
|
|
"display_name": "FluxDisableGuidance",
|
|
"description": "This node completely disables the guidance embed on Flux and Flux like models",
|
|
"python_module": "comfy_extras.nodes_flux",
|
|
"category": "advanced/conditioning/flux",
|
|
"output_node": false
|
|
},
|
|
"LoraSave": {
|
|
"input": {
|
|
"required": {
|
|
"filename_prefix": [
|
|
"STRING",
|
|
{ "default": "loras/ComfyUI_extracted_lora" }
|
|
],
|
|
"rank": ["INT", { "default": 8, "min": 1, "max": 4096, "step": 1 }],
|
|
"lora_type": [["standard", "full_diff"]],
|
|
"bias_diff": ["BOOLEAN", { "default": true }]
|
|
},
|
|
"optional": {
|
|
"model_diff": [
|
|
"MODEL",
|
|
{ "tooltip": "The ModelSubtract output to be converted to a lora." }
|
|
],
|
|
"text_encoder_diff": [
|
|
"CLIP",
|
|
{ "tooltip": "The CLIPSubtract output to be converted to a lora." }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["filename_prefix", "rank", "lora_type", "bias_diff"],
|
|
"optional": ["model_diff", "text_encoder_diff"]
|
|
},
|
|
"output": [],
|
|
"output_is_list": [],
|
|
"output_name": [],
|
|
"name": "LoraSave",
|
|
"display_name": "Extract and Save Lora",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lora_extract",
|
|
"category": "_for_testing",
|
|
"output_node": true
|
|
},
|
|
"TorchCompileModel": {
|
|
"input": {
|
|
"required": {
|
|
"model": ["MODEL"],
|
|
"backend": [["inductor", "cudagraphs"]]
|
|
}
|
|
},
|
|
"input_order": { "required": ["model", "backend"] },
|
|
"output": ["MODEL"],
|
|
"output_is_list": [false],
|
|
"output_name": ["MODEL"],
|
|
"name": "TorchCompileModel",
|
|
"display_name": "TorchCompileModel",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_torch_compile",
|
|
"category": "_for_testing",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"EmptyMochiLatentVideo": {
|
|
"input": {
|
|
"required": {
|
|
"width": [
|
|
"INT",
|
|
{ "default": 848, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 480, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"length": ["INT", { "default": 25, "min": 7, "max": 16384, "step": 6 }],
|
|
"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["width", "height", "length", "batch_size"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "EmptyMochiLatentVideo",
|
|
"display_name": "EmptyMochiLatentVideo",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_mochi",
|
|
"category": "latent/video",
|
|
"output_node": false
|
|
},
|
|
"SkipLayerGuidanceDiT": {
|
|
"input": {
|
|
"required": {
|
|
"model": ["MODEL"],
|
|
"double_layers": [
|
|
"STRING",
|
|
{ "default": "7, 8, 9", "multiline": false }
|
|
],
|
|
"single_layers": [
|
|
"STRING",
|
|
{ "default": "7, 8, 9", "multiline": false }
|
|
],
|
|
"scale": [
|
|
"FLOAT",
|
|
{ "default": 3.0, "min": 0.0, "max": 10.0, "step": 0.1 }
|
|
],
|
|
"start_percent": [
|
|
"FLOAT",
|
|
{ "default": 0.01, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
],
|
|
"end_percent": [
|
|
"FLOAT",
|
|
{ "default": 0.15, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
],
|
|
"rescaling_scale": [
|
|
"FLOAT",
|
|
{ "default": 0.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"model",
|
|
"double_layers",
|
|
"single_layers",
|
|
"scale",
|
|
"start_percent",
|
|
"end_percent",
|
|
"rescaling_scale"
|
|
]
|
|
},
|
|
"output": ["MODEL"],
|
|
"output_is_list": [false],
|
|
"output_name": ["MODEL"],
|
|
"name": "SkipLayerGuidanceDiT",
|
|
"display_name": "SkipLayerGuidanceDiT",
|
|
"description": "Generic version of SkipLayerGuidance node that can be used on every DiT model.",
|
|
"python_module": "comfy_extras.nodes_slg",
|
|
"category": "advanced/guidance",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"Mahiro": {
|
|
"input": { "required": { "model": ["MODEL"] } },
|
|
"input_order": { "required": ["model"] },
|
|
"output": ["MODEL"],
|
|
"output_is_list": [false],
|
|
"output_name": ["patched_model"],
|
|
"name": "Mahiro",
|
|
"display_name": "Mahiro is so cute that she deserves a better guidance function!! (\u3002\u30fb\u03c9\u30fb\u3002)",
|
|
"description": "Modify the guidance to scale more on the 'direction' of the positive prompt rather than the difference between the negative prompt.",
|
|
"python_module": "comfy_extras.nodes_mahiro",
|
|
"category": "_for_testing",
|
|
"output_node": false
|
|
},
|
|
"EmptyLTXVLatentVideo": {
|
|
"input": {
|
|
"required": {
|
|
"width": [
|
|
"INT",
|
|
{ "default": 768, "min": 64, "max": 16384, "step": 32 }
|
|
],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 512, "min": 64, "max": 16384, "step": 32 }
|
|
],
|
|
"length": ["INT", { "default": 97, "min": 1, "max": 16384, "step": 8 }],
|
|
"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["width", "height", "length", "batch_size"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "EmptyLTXVLatentVideo",
|
|
"display_name": "EmptyLTXVLatentVideo",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lt",
|
|
"category": "latent/video/ltxv",
|
|
"output_node": false
|
|
},
|
|
"LTXVImgToVideo": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"vae": ["VAE"],
|
|
"image": ["IMAGE"],
|
|
"width": [
|
|
"INT",
|
|
{ "default": 768, "min": 64, "max": 16384, "step": 32 }
|
|
],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 512, "min": 64, "max": 16384, "step": 32 }
|
|
],
|
|
"length": ["INT", { "default": 97, "min": 9, "max": 16384, "step": 8 }],
|
|
"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"positive",
|
|
"negative",
|
|
"vae",
|
|
"image",
|
|
"width",
|
|
"height",
|
|
"length",
|
|
"batch_size"
|
|
]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["positive", "negative", "latent"],
|
|
"name": "LTXVImgToVideo",
|
|
"display_name": "LTXVImgToVideo",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lt",
|
|
"category": "conditioning/video_models",
|
|
"output_node": false
|
|
},
|
|
"ModelSamplingLTXV": {
|
|
"input": {
|
|
"required": {
|
|
"model": ["MODEL"],
|
|
"max_shift": [
|
|
"FLOAT",
|
|
{ "default": 2.05, "min": 0.0, "max": 100.0, "step": 0.01 }
|
|
],
|
|
"base_shift": [
|
|
"FLOAT",
|
|
{ "default": 0.95, "min": 0.0, "max": 100.0, "step": 0.01 }
|
|
]
|
|
},
|
|
"optional": { "latent": ["LATENT"] }
|
|
},
|
|
"input_order": {
|
|
"required": ["model", "max_shift", "base_shift"],
|
|
"optional": ["latent"]
|
|
},
|
|
"output": ["MODEL"],
|
|
"output_is_list": [false],
|
|
"output_name": ["MODEL"],
|
|
"name": "ModelSamplingLTXV",
|
|
"display_name": "ModelSamplingLTXV",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lt",
|
|
"category": "advanced/model",
|
|
"output_node": false
|
|
},
|
|
"LTXVConditioning": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"frame_rate": [
|
|
"FLOAT",
|
|
{ "default": 25.0, "min": 0.0, "max": 1000.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["positive", "negative", "frame_rate"] },
|
|
"output": ["CONDITIONING", "CONDITIONING"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["positive", "negative"],
|
|
"name": "LTXVConditioning",
|
|
"display_name": "LTXVConditioning",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lt",
|
|
"category": "conditioning/video_models",
|
|
"output_node": false
|
|
},
|
|
"LTXVScheduler": {
|
|
"input": {
|
|
"required": {
|
|
"steps": ["INT", { "default": 20, "min": 1, "max": 10000 }],
|
|
"max_shift": [
|
|
"FLOAT",
|
|
{ "default": 2.05, "min": 0.0, "max": 100.0, "step": 0.01 }
|
|
],
|
|
"base_shift": [
|
|
"FLOAT",
|
|
{ "default": 0.95, "min": 0.0, "max": 100.0, "step": 0.01 }
|
|
],
|
|
"stretch": [
|
|
"BOOLEAN",
|
|
{
|
|
"default": true,
|
|
"tooltip": "Stretch the sigmas to be in the range [terminal, 1]."
|
|
}
|
|
],
|
|
"terminal": [
|
|
"FLOAT",
|
|
{
|
|
"default": 0.1,
|
|
"min": 0.0,
|
|
"max": 0.99,
|
|
"step": 0.01,
|
|
"tooltip": "The terminal value of the sigmas after stretching."
|
|
}
|
|
]
|
|
},
|
|
"optional": { "latent": ["LATENT"] }
|
|
},
|
|
"input_order": {
|
|
"required": ["steps", "max_shift", "base_shift", "stretch", "terminal"],
|
|
"optional": ["latent"]
|
|
},
|
|
"output": ["SIGMAS"],
|
|
"output_is_list": [false],
|
|
"output_name": ["SIGMAS"],
|
|
"name": "LTXVScheduler",
|
|
"display_name": "LTXVScheduler",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lt",
|
|
"category": "sampling/custom_sampling/schedulers",
|
|
"output_node": false
|
|
},
|
|
"LTXVAddGuide": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"vae": ["VAE"],
|
|
"latent": ["LATENT"],
|
|
"image": [
|
|
"IMAGE",
|
|
{
|
|
"tooltip": "Image or video to condition the latent video on. Must be 8*n + 1 frames.If the video is not 8*n + 1 frames, it will be cropped to the nearest 8*n + 1 frames."
|
|
}
|
|
],
|
|
"frame_idx": [
|
|
"INT",
|
|
{
|
|
"default": 0,
|
|
"min": -9999,
|
|
"max": 9999,
|
|
"tooltip": "Frame index to start the conditioning at. For single-frame images or videos with 1-8 frames, any frame_idx value is acceptable. For videos with 9+ frames, frame_idx must be divisible by 8, otherwise it will be rounded down to the nearest multiple of 8. Negative values are counted from the end of the video."
|
|
}
|
|
],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"positive",
|
|
"negative",
|
|
"vae",
|
|
"latent",
|
|
"image",
|
|
"frame_idx",
|
|
"strength"
|
|
]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["positive", "negative", "latent"],
|
|
"name": "LTXVAddGuide",
|
|
"display_name": "LTXVAddGuide",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lt",
|
|
"category": "conditioning/video_models",
|
|
"output_node": false
|
|
},
|
|
"LTXVPreprocess": {
|
|
"input": {
|
|
"required": {
|
|
"image": ["IMAGE"],
|
|
"img_compression": [
|
|
"INT",
|
|
{
|
|
"default": 35,
|
|
"min": 0,
|
|
"max": 100,
|
|
"tooltip": "Amount of compression to apply on image."
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["image", "img_compression"] },
|
|
"output": ["IMAGE"],
|
|
"output_is_list": [false],
|
|
"output_name": ["output_image"],
|
|
"name": "LTXVPreprocess",
|
|
"display_name": "LTXVPreprocess",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lt",
|
|
"category": "image",
|
|
"output_node": false
|
|
},
|
|
"LTXVCropGuides": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"latent": ["LATENT"]
|
|
}
|
|
},
|
|
"input_order": { "required": ["positive", "negative", "latent"] },
|
|
"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["positive", "negative", "latent"],
|
|
"name": "LTXVCropGuides",
|
|
"display_name": "LTXVCropGuides",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lt",
|
|
"category": "conditioning/video_models",
|
|
"output_node": false
|
|
},
|
|
"CreateHookLora": {
|
|
"input": {
|
|
"required": {
|
|
"lora_name": [
|
|
[
|
|
"Characters/Cortana/Cortana(revAnimated).safetensors",
|
|
"Characters/Cortana/Cortana.safetensors",
|
|
"Characters/Cortana/Cortana_XL.safetensors",
|
|
"Characters/Cortana/cortana_xl_v3.safetensors",
|
|
"Characters/D.va/DVaOWXL - by KillerUwU13_AI.safetensors",
|
|
"Characters/D.va/DVaPony.safetensors",
|
|
"Characters/Lara Croft/ClassicLara.safetensors",
|
|
"Characters/Lara Croft/LaraCroft_character-20.safetensors",
|
|
"Characters/Lara Croft/lara_croft_xl_v2.safetensors",
|
|
"Characters/Peni Parker/32dim-MR_PeniParker-PONY.safetensors",
|
|
"Characters/Peni Parker/PeniParkerRivals-10.safetensors",
|
|
"Characters/Peni Parker/Peni_Parker-000007.safetensors",
|
|
"Characters/Peni Parker/Peni_parker_marvel_rivels.safetensors",
|
|
"Characters/Samus Aran/Samus AranPonyLora.safetensors",
|
|
"Characters/Samus Aran/samus aran.safetensors",
|
|
"Characters/Samus Aran/samus-09.safetensors",
|
|
"Characters/Scarlett Johansson/Scarlett-v20.safetensors",
|
|
"Characters/Scarlett Johansson/Scarlett4.safetensors",
|
|
"Characters/Widowmaker/SDXL_ow1 Windowmaker.safetensors",
|
|
"Characters/Widowmaker/WidowmakerPonyLoRA.safetensors",
|
|
"Characters/Widowmaker/Widowmaker_cgi.safetensors",
|
|
"Characters/princess_xl_v2.safetensors",
|
|
"Characters/princess_zelda.safetensors",
|
|
"Citron Pony Styles/80s_Pop_PDXL.safetensors",
|
|
"Citron Pony Styles/Alola_Style_PDXL.safetensors",
|
|
"Citron Pony Styles/BoldToon.safetensors",
|
|
"Citron Pony Styles/CandyCuteStylePDXL.safetensors",
|
|
"Citron Pony Styles/CatalystStylePDXL.safetensors",
|
|
"Citron Pony Styles/Citron3D_PDXL.safetensors",
|
|
"Citron Pony Styles/CitronAnimeTreasure-07.safetensors",
|
|
"Citron Pony Styles/EnergyCAT.safetensors",
|
|
"Citron Pony Styles/FlatAnimeP1.safetensors",
|
|
"Citron Pony Styles/LunarCAT_Style.safetensors",
|
|
"Citron Pony Styles/RealisticAnime.safetensors",
|
|
"Citron Pony Styles/Smooth.safetensors",
|
|
"Citron Pony Styles/Vivid.safetensors",
|
|
"Expressive_H-000001.safetensors",
|
|
"Hand v2.safetensors",
|
|
"LogoRedmondV2-Logo-LogoRedmAF.safetensors",
|
|
"NSFW/2025/cheekbulge.safetensors",
|
|
"NSFW/2025/closedmouthfullofcum.safetensors",
|
|
"NSFW/2025/doublepenetration_r1.safetensors",
|
|
"NSFW/2025/xray (1).safetensors",
|
|
"NSFW/Acts/LapBlowLyingV1.safetensors",
|
|
"NSFW/Acts/Long tongue fellatio.safetensors",
|
|
"NSFW/Acts/Proper_Grinding.safetensors",
|
|
"NSFW/Acts/Vacuum felaltio-000009.safetensors",
|
|
"NSFW/Acts/assworship.safetensors",
|
|
"NSFW/Acts/boobsuck.safetensors",
|
|
"NSFW/Acts/breasts_squeezed_together_v02.safetensors",
|
|
"NSFW/Acts/chikan_v31.safetensors",
|
|
"NSFW/Acts/concept_sideboobpeek_ponyXL.safetensors",
|
|
"NSFW/Acts/covering privates_XL_V10.safetensors",
|
|
"NSFW/Acts/facesit_pov_pdxl_goofy.safetensors",
|
|
"NSFW/Acts/grinding_pony_V10.safetensors",
|
|
"NSFW/Acts/hand_milking_pdxl_goofy.safetensors",
|
|
"NSFW/Acts/mating_press_v02-pony.safetensors",
|
|
"NSFW/Acts/pantjob.safetensors",
|
|
"NSFW/Acts/undressing_another_v05.safetensors",
|
|
"NSFW/All the way through tentacles.safetensors",
|
|
"NSFW/Deep_Throat_JAV_MIAA572_PONY_V1.safetensors",
|
|
"NSFW/FComic_1to1000_Pony_V1.safetensors",
|
|
"NSFW/FComic_HardCore_Pony_V1.safetensors",
|
|
"NSFW/Poses/Double anal back-000006.safetensors",
|
|
"NSFW/Poses/Double penetration suspended LORA-000009.safetensors",
|
|
"NSFW/Poses/Missionary DP 2-000008.safetensors",
|
|
"NSFW/Poses/Piledrive pov-000008.safetensors",
|
|
"NSFW/Poses/Pressed_Missionary_Feet_On_Chest.safetensors",
|
|
"NSFW/Poses/Pretzel.safetensors",
|
|
"NSFW/Poses/Reverse spitroast.safetensors",
|
|
"NSFW/Poses/chokesex.safetensors",
|
|
"NSFW/Poses/dp_from_behind_v01b.safetensors",
|
|
"NSFW/Poses/leg_up_side_matsubamuzushi_pony_V10.safetensors",
|
|
"NSFW/Poses/suspended_congress_kiben_pony_V10.safetensors",
|
|
"NSFW/Poses/suspensionPony.safetensors",
|
|
"NSFW/Poses/top-down_doggystyle_v02-pony.safetensors",
|
|
"NSFW/Poses/wheel_barrow_oshiguruma_pony_V10.safetensors",
|
|
"NSFW/Rough_Sex_Any_position.safetensors",
|
|
"NSFW/Saya-spread pussy(fingers).safetensors",
|
|
"NSFW/X-ray anal 3.safetensors",
|
|
"NSFW/closeprone.safetensors",
|
|
"NSFW/cumontongue.safetensors",
|
|
"NSFW/helpbj.safetensors",
|
|
"NSFW/micro_bra_pdxl_goofy.safetensors",
|
|
"NSFW/mouthful.safetensors",
|
|
"NSFW/projectile_cum_v02.safetensors",
|
|
"NSFW/pussy_sandwich_v02-pony.safetensors",
|
|
"NSFW/restroom_v02a.safetensors",
|
|
"NSFW/spp_spreadpussy-W-V1.safetensors",
|
|
"Vixon's Pony Styles/Sh4rd4n1cXLP.safetensors",
|
|
"Vixon's Pony Styles/ch33s3XLP.safetensors",
|
|
"Vixon's Pony Styles/itsyelizXLP.safetensors",
|
|
"Vixon's Pony Styles/lalangheejXLP.safetensors",
|
|
"Vixon's Pony Styles/nikkileeismeXLP.safetensors",
|
|
"Vixon's Pony Styles/tomidoronXLP.safetensors",
|
|
"WowifierXL-V2.safetensors",
|
|
"detailed_notrigger.safetensors",
|
|
"detailxl.safetensors"
|
|
]
|
|
],
|
|
"strength_model": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01 }
|
|
],
|
|
"strength_clip": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01 }
|
|
]
|
|
},
|
|
"optional": { "prev_hooks": ["HOOKS"] }
|
|
},
|
|
"input_order": {
|
|
"required": ["lora_name", "strength_model", "strength_clip"],
|
|
"optional": ["prev_hooks"]
|
|
},
|
|
"output": ["HOOKS"],
|
|
"output_is_list": [false],
|
|
"output_name": ["HOOKS"],
|
|
"name": "CreateHookLora",
|
|
"display_name": "Create Hook LoRA",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hooks",
|
|
"category": "advanced/hooks/create",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"CreateHookLoraModelOnly": {
|
|
"input": {
|
|
"required": {
|
|
"lora_name": [
|
|
[
|
|
"Characters/Cortana/Cortana(revAnimated).safetensors",
|
|
"Characters/Cortana/Cortana.safetensors",
|
|
"Characters/Cortana/Cortana_XL.safetensors",
|
|
"Characters/Cortana/cortana_xl_v3.safetensors",
|
|
"Characters/D.va/DVaOWXL - by KillerUwU13_AI.safetensors",
|
|
"Characters/D.va/DVaPony.safetensors",
|
|
"Characters/Lara Croft/ClassicLara.safetensors",
|
|
"Characters/Lara Croft/LaraCroft_character-20.safetensors",
|
|
"Characters/Lara Croft/lara_croft_xl_v2.safetensors",
|
|
"Characters/Peni Parker/32dim-MR_PeniParker-PONY.safetensors",
|
|
"Characters/Peni Parker/PeniParkerRivals-10.safetensors",
|
|
"Characters/Peni Parker/Peni_Parker-000007.safetensors",
|
|
"Characters/Peni Parker/Peni_parker_marvel_rivels.safetensors",
|
|
"Characters/Samus Aran/Samus AranPonyLora.safetensors",
|
|
"Characters/Samus Aran/samus aran.safetensors",
|
|
"Characters/Samus Aran/samus-09.safetensors",
|
|
"Characters/Scarlett Johansson/Scarlett-v20.safetensors",
|
|
"Characters/Scarlett Johansson/Scarlett4.safetensors",
|
|
"Characters/Widowmaker/SDXL_ow1 Windowmaker.safetensors",
|
|
"Characters/Widowmaker/WidowmakerPonyLoRA.safetensors",
|
|
"Characters/Widowmaker/Widowmaker_cgi.safetensors",
|
|
"Characters/princess_xl_v2.safetensors",
|
|
"Characters/princess_zelda.safetensors",
|
|
"Citron Pony Styles/80s_Pop_PDXL.safetensors",
|
|
"Citron Pony Styles/Alola_Style_PDXL.safetensors",
|
|
"Citron Pony Styles/BoldToon.safetensors",
|
|
"Citron Pony Styles/CandyCuteStylePDXL.safetensors",
|
|
"Citron Pony Styles/CatalystStylePDXL.safetensors",
|
|
"Citron Pony Styles/Citron3D_PDXL.safetensors",
|
|
"Citron Pony Styles/CitronAnimeTreasure-07.safetensors",
|
|
"Citron Pony Styles/EnergyCAT.safetensors",
|
|
"Citron Pony Styles/FlatAnimeP1.safetensors",
|
|
"Citron Pony Styles/LunarCAT_Style.safetensors",
|
|
"Citron Pony Styles/RealisticAnime.safetensors",
|
|
"Citron Pony Styles/Smooth.safetensors",
|
|
"Citron Pony Styles/Vivid.safetensors",
|
|
"Expressive_H-000001.safetensors",
|
|
"Hand v2.safetensors",
|
|
"LogoRedmondV2-Logo-LogoRedmAF.safetensors",
|
|
"NSFW/2025/cheekbulge.safetensors",
|
|
"NSFW/2025/closedmouthfullofcum.safetensors",
|
|
"NSFW/2025/doublepenetration_r1.safetensors",
|
|
"NSFW/2025/xray (1).safetensors",
|
|
"NSFW/Acts/LapBlowLyingV1.safetensors",
|
|
"NSFW/Acts/Long tongue fellatio.safetensors",
|
|
"NSFW/Acts/Proper_Grinding.safetensors",
|
|
"NSFW/Acts/Vacuum felaltio-000009.safetensors",
|
|
"NSFW/Acts/assworship.safetensors",
|
|
"NSFW/Acts/boobsuck.safetensors",
|
|
"NSFW/Acts/breasts_squeezed_together_v02.safetensors",
|
|
"NSFW/Acts/chikan_v31.safetensors",
|
|
"NSFW/Acts/concept_sideboobpeek_ponyXL.safetensors",
|
|
"NSFW/Acts/covering privates_XL_V10.safetensors",
|
|
"NSFW/Acts/facesit_pov_pdxl_goofy.safetensors",
|
|
"NSFW/Acts/grinding_pony_V10.safetensors",
|
|
"NSFW/Acts/hand_milking_pdxl_goofy.safetensors",
|
|
"NSFW/Acts/mating_press_v02-pony.safetensors",
|
|
"NSFW/Acts/pantjob.safetensors",
|
|
"NSFW/Acts/undressing_another_v05.safetensors",
|
|
"NSFW/All the way through tentacles.safetensors",
|
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"NSFW/FComic_1to1000_Pony_V1.safetensors",
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"NSFW/FComic_HardCore_Pony_V1.safetensors",
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"NSFW/Poses/Double anal back-000006.safetensors",
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"NSFW/Poses/Double penetration suspended LORA-000009.safetensors",
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"NSFW/Poses/Missionary DP 2-000008.safetensors",
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"NSFW/Poses/Piledrive pov-000008.safetensors",
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"NSFW/Poses/Pressed_Missionary_Feet_On_Chest.safetensors",
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"NSFW/Poses/Pretzel.safetensors",
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"NSFW/Poses/Reverse spitroast.safetensors",
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"NSFW/Poses/chokesex.safetensors",
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"NSFW/Poses/dp_from_behind_v01b.safetensors",
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"NSFW/Poses/leg_up_side_matsubamuzushi_pony_V10.safetensors",
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"NSFW/Poses/suspended_congress_kiben_pony_V10.safetensors",
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"NSFW/Poses/suspensionPony.safetensors",
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"NSFW/Poses/top-down_doggystyle_v02-pony.safetensors",
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"NSFW/Poses/wheel_barrow_oshiguruma_pony_V10.safetensors",
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"NSFW/Rough_Sex_Any_position.safetensors",
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"NSFW/Saya-spread pussy(fingers).safetensors",
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"NSFW/X-ray anal 3.safetensors",
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"NSFW/closeprone.safetensors",
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"NSFW/cumontongue.safetensors",
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"NSFW/helpbj.safetensors",
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"NSFW/micro_bra_pdxl_goofy.safetensors",
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"NSFW/mouthful.safetensors",
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"NSFW/projectile_cum_v02.safetensors",
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"NSFW/pussy_sandwich_v02-pony.safetensors",
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"NSFW/restroom_v02a.safetensors",
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"NSFW/spp_spreadpussy-W-V1.safetensors",
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"Vixon's Pony Styles/Sh4rd4n1cXLP.safetensors",
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"Vixon's Pony Styles/ch33s3XLP.safetensors",
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"Vixon's Pony Styles/itsyelizXLP.safetensors",
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"Vixon's Pony Styles/lalangheejXLP.safetensors",
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"Vixon's Pony Styles/nikkileeismeXLP.safetensors",
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"Vixon's Pony Styles/tomidoronXLP.safetensors",
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"WowifierXL-V2.safetensors",
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"detailed_notrigger.safetensors",
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"detailxl.safetensors"
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"Anime/waiNSFWIllustrious_v70.safetensors",
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"Babes/babesBYSTABLEYOGI_xlV2.safetensors",
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"Babes/babesByStableYogi_ponyV3VAE.safetensors",
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|
|
"python_module": "comfy_extras.nodes_hooks",
|
|
"category": "advanced/hooks/cond single",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"PairConditioningSetProperties": {
|
|
"input": {
|
|
"required": {
|
|
"positive_NEW": ["CONDITIONING"],
|
|
"negative_NEW": ["CONDITIONING"],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
],
|
|
"set_cond_area": [["default", "mask bounds"]]
|
|
},
|
|
"optional": {
|
|
"mask": ["MASK"],
|
|
"hooks": ["HOOKS"],
|
|
"timesteps": ["TIMESTEPS_RANGE"]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["positive_NEW", "negative_NEW", "strength", "set_cond_area"],
|
|
"optional": ["mask", "hooks", "timesteps"]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["positive", "negative"],
|
|
"name": "PairConditioningSetProperties",
|
|
"display_name": "Cond Pair Set Props",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hooks",
|
|
"category": "advanced/hooks/cond pair",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"PairConditioningSetPropertiesAndCombine": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"positive_NEW": ["CONDITIONING"],
|
|
"negative_NEW": ["CONDITIONING"],
|
|
"strength": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01 }
|
|
],
|
|
"set_cond_area": [["default", "mask bounds"]]
|
|
},
|
|
"optional": {
|
|
"mask": ["MASK"],
|
|
"hooks": ["HOOKS"],
|
|
"timesteps": ["TIMESTEPS_RANGE"]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"positive",
|
|
"negative",
|
|
"positive_NEW",
|
|
"negative_NEW",
|
|
"strength",
|
|
"set_cond_area"
|
|
],
|
|
"optional": ["mask", "hooks", "timesteps"]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["positive", "negative"],
|
|
"name": "PairConditioningSetPropertiesAndCombine",
|
|
"display_name": "Cond Pair Set Props Combine",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hooks",
|
|
"category": "advanced/hooks/cond pair",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"ConditioningSetDefaultCombine": {
|
|
"input": {
|
|
"required": {
|
|
"cond": ["CONDITIONING"],
|
|
"cond_DEFAULT": ["CONDITIONING"]
|
|
},
|
|
"optional": { "hooks": ["HOOKS"] }
|
|
},
|
|
"input_order": {
|
|
"required": ["cond", "cond_DEFAULT"],
|
|
"optional": ["hooks"]
|
|
},
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "ConditioningSetDefaultCombine",
|
|
"display_name": "Cond Set Default Combine",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hooks",
|
|
"category": "advanced/hooks/cond single",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"PairConditioningSetDefaultCombine": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"positive_DEFAULT": ["CONDITIONING"],
|
|
"negative_DEFAULT": ["CONDITIONING"]
|
|
},
|
|
"optional": { "hooks": ["HOOKS"] }
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"positive",
|
|
"negative",
|
|
"positive_DEFAULT",
|
|
"negative_DEFAULT"
|
|
],
|
|
"optional": ["hooks"]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["positive", "negative"],
|
|
"name": "PairConditioningSetDefaultCombine",
|
|
"display_name": "Cond Pair Set Default Combine",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hooks",
|
|
"category": "advanced/hooks/cond pair",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"PairConditioningCombine": {
|
|
"input": {
|
|
"required": {
|
|
"positive_A": ["CONDITIONING"],
|
|
"negative_A": ["CONDITIONING"],
|
|
"positive_B": ["CONDITIONING"],
|
|
"negative_B": ["CONDITIONING"]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": ["positive_A", "negative_A", "positive_B", "negative_B"]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING"],
|
|
"output_is_list": [false, false],
|
|
"output_name": ["positive", "negative"],
|
|
"name": "PairConditioningCombine",
|
|
"display_name": "Cond Pair Combine",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hooks",
|
|
"category": "advanced/hooks/cond pair",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"SetClipHooks": {
|
|
"input": {
|
|
"required": {
|
|
"clip": ["CLIP"],
|
|
"apply_to_conds": ["BOOLEAN", { "default": true }],
|
|
"schedule_clip": ["BOOLEAN", { "default": false }]
|
|
},
|
|
"optional": { "hooks": ["HOOKS"] }
|
|
},
|
|
"input_order": {
|
|
"required": ["clip", "apply_to_conds", "schedule_clip"],
|
|
"optional": ["hooks"]
|
|
},
|
|
"output": ["CLIP"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CLIP"],
|
|
"name": "SetClipHooks",
|
|
"display_name": "Set CLIP Hooks",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hooks",
|
|
"category": "advanced/hooks/clip",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"ConditioningTimestepsRange": {
|
|
"input": {
|
|
"required": {
|
|
"start_percent": [
|
|
"FLOAT",
|
|
{ "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
],
|
|
"end_percent": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["start_percent", "end_percent"] },
|
|
"output": ["TIMESTEPS_RANGE", "TIMESTEPS_RANGE", "TIMESTEPS_RANGE"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["TIMESTEPS_RANGE", "BEFORE_RANGE", "AFTER_RANGE"],
|
|
"name": "ConditioningTimestepsRange",
|
|
"display_name": "Timesteps Range",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_hooks",
|
|
"category": "advanced/hooks",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"Load3D": {
|
|
"input": {
|
|
"required": {
|
|
"model_file": [[], { "file_upload": true }],
|
|
"image": ["LOAD_3D", {}],
|
|
"width": ["INT", { "default": 1024, "min": 1, "max": 4096, "step": 1 }],
|
|
"height": ["INT", { "default": 1024, "min": 1, "max": 4096, "step": 1 }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["model_file", "image", "width", "height"] },
|
|
"output": ["IMAGE", "MASK", "STRING"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["image", "mask", "mesh_path"],
|
|
"name": "Load3D",
|
|
"display_name": "Load 3D",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_load_3d",
|
|
"category": "3d",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"Load3DAnimation": {
|
|
"input": {
|
|
"required": {
|
|
"model_file": [[], { "file_upload": true }],
|
|
"image": ["LOAD_3D_ANIMATION", {}],
|
|
"width": ["INT", { "default": 1024, "min": 1, "max": 4096, "step": 1 }],
|
|
"height": ["INT", { "default": 1024, "min": 1, "max": 4096, "step": 1 }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["model_file", "image", "width", "height"] },
|
|
"output": ["IMAGE", "MASK", "STRING"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["image", "mask", "mesh_path"],
|
|
"name": "Load3DAnimation",
|
|
"display_name": "Load 3D - Animation",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_load_3d",
|
|
"category": "3d",
|
|
"output_node": false,
|
|
"experimental": true
|
|
},
|
|
"Preview3D": {
|
|
"input": {
|
|
"required": {
|
|
"model_file": ["STRING", { "default": "", "multiline": false }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["model_file"] },
|
|
"output": [],
|
|
"output_is_list": [],
|
|
"output_name": [],
|
|
"name": "Preview3D",
|
|
"display_name": "Preview 3D",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_load_3d",
|
|
"category": "3d",
|
|
"output_node": true,
|
|
"experimental": true
|
|
},
|
|
"Preview3DAnimation": {
|
|
"input": {
|
|
"required": {
|
|
"model_file": ["STRING", { "default": "", "multiline": false }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["model_file"] },
|
|
"output": [],
|
|
"output_is_list": [],
|
|
"output_name": [],
|
|
"name": "Preview3DAnimation",
|
|
"display_name": "Preview 3D - Animation",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_load_3d",
|
|
"category": "3d",
|
|
"output_node": true,
|
|
"experimental": true
|
|
},
|
|
"EmptyCosmosLatentVideo": {
|
|
"input": {
|
|
"required": {
|
|
"width": [
|
|
"INT",
|
|
{ "default": 1280, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 704, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"length": [
|
|
"INT",
|
|
{ "default": 121, "min": 1, "max": 16384, "step": 8 }
|
|
],
|
|
"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }]
|
|
}
|
|
},
|
|
"input_order": { "required": ["width", "height", "length", "batch_size"] },
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "EmptyCosmosLatentVideo",
|
|
"display_name": "EmptyCosmosLatentVideo",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_cosmos",
|
|
"category": "latent/video",
|
|
"output_node": false
|
|
},
|
|
"CosmosImageToVideoLatent": {
|
|
"input": {
|
|
"required": {
|
|
"vae": ["VAE"],
|
|
"width": [
|
|
"INT",
|
|
{ "default": 1280, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 704, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"length": [
|
|
"INT",
|
|
{ "default": 121, "min": 1, "max": 16384, "step": 8 }
|
|
],
|
|
"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }]
|
|
},
|
|
"optional": { "start_image": ["IMAGE"], "end_image": ["IMAGE"] }
|
|
},
|
|
"input_order": {
|
|
"required": ["vae", "width", "height", "length", "batch_size"],
|
|
"optional": ["start_image", "end_image"]
|
|
},
|
|
"output": ["LATENT"],
|
|
"output_is_list": [false],
|
|
"output_name": ["LATENT"],
|
|
"name": "CosmosImageToVideoLatent",
|
|
"display_name": "CosmosImageToVideoLatent",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_cosmos",
|
|
"category": "conditioning/inpaint",
|
|
"output_node": false
|
|
},
|
|
"SaveWEBM": {
|
|
"input": {
|
|
"required": {
|
|
"images": ["IMAGE"],
|
|
"filename_prefix": ["STRING", { "default": "ComfyUI" }],
|
|
"codec": [["vp9", "av1"]],
|
|
"fps": [
|
|
"FLOAT",
|
|
{ "default": 24.0, "min": 0.01, "max": 1000.0, "step": 0.01 }
|
|
],
|
|
"crf": [
|
|
"FLOAT",
|
|
{
|
|
"default": 32.0,
|
|
"min": 0,
|
|
"max": 63.0,
|
|
"step": 1,
|
|
"tooltip": "Higher crf means lower quality with a smaller file size, lower crf means higher quality higher filesize."
|
|
}
|
|
]
|
|
},
|
|
"hidden": { "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO" }
|
|
},
|
|
"input_order": {
|
|
"required": ["images", "filename_prefix", "codec", "fps", "crf"],
|
|
"hidden": ["prompt", "extra_pnginfo"]
|
|
},
|
|
"output": [],
|
|
"output_is_list": [],
|
|
"output_name": [],
|
|
"name": "SaveWEBM",
|
|
"display_name": "SaveWEBM",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_video",
|
|
"category": "image/video",
|
|
"output_node": true,
|
|
"experimental": true
|
|
},
|
|
"CLIPTextEncodeLumina2": {
|
|
"input": {
|
|
"required": {
|
|
"system_prompt": [
|
|
["superior", "alignment"],
|
|
{
|
|
"tooltip": "Lumina2 provide two types of system prompts:Superior: You are an assistant designed to generate superior images with the superior degree of image-text alignment based on textual prompts or user prompts. Alignment: You are an assistant designed to generate high-quality images with the highest degree of image-text alignment based on textual prompts."
|
|
}
|
|
],
|
|
"user_prompt": [
|
|
"STRING",
|
|
{
|
|
"multiline": true,
|
|
"dynamicPrompts": true,
|
|
"tooltip": "The text to be encoded."
|
|
}
|
|
],
|
|
"clip": [
|
|
"CLIP",
|
|
{ "tooltip": "The CLIP model used for encoding the text." }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["system_prompt", "user_prompt", "clip"] },
|
|
"output": ["CONDITIONING"],
|
|
"output_is_list": [false],
|
|
"output_name": ["CONDITIONING"],
|
|
"name": "CLIPTextEncodeLumina2",
|
|
"display_name": "CLIP Text Encode for Lumina2",
|
|
"description": "Encodes a system prompt and a user prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images.",
|
|
"python_module": "comfy_extras.nodes_lumina2",
|
|
"category": "conditioning",
|
|
"output_node": false,
|
|
"output_tooltips": [
|
|
"A conditioning containing the embedded text used to guide the diffusion model."
|
|
]
|
|
},
|
|
"RenormCFG": {
|
|
"input": {
|
|
"required": {
|
|
"model": ["MODEL"],
|
|
"cfg_trunc": [
|
|
"FLOAT",
|
|
{ "default": 100, "min": 0.0, "max": 100.0, "step": 0.01 }
|
|
],
|
|
"renorm_cfg": [
|
|
"FLOAT",
|
|
{ "default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01 }
|
|
]
|
|
}
|
|
},
|
|
"input_order": { "required": ["model", "cfg_trunc", "renorm_cfg"] },
|
|
"output": ["MODEL"],
|
|
"output_is_list": [false],
|
|
"output_name": ["MODEL"],
|
|
"name": "RenormCFG",
|
|
"display_name": "RenormCFG",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_lumina2",
|
|
"category": "advanced/model",
|
|
"output_node": false
|
|
},
|
|
"WanImageToVideo": {
|
|
"input": {
|
|
"required": {
|
|
"positive": ["CONDITIONING"],
|
|
"negative": ["CONDITIONING"],
|
|
"vae": ["VAE"],
|
|
"width": [
|
|
"INT",
|
|
{ "default": 832, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"height": [
|
|
"INT",
|
|
{ "default": 480, "min": 16, "max": 16384, "step": 16 }
|
|
],
|
|
"length": ["INT", { "default": 81, "min": 1, "max": 16384, "step": 4 }],
|
|
"batch_size": ["INT", { "default": 1, "min": 1, "max": 4096 }]
|
|
},
|
|
"optional": {
|
|
"clip_vision_output": ["CLIP_VISION_OUTPUT"],
|
|
"start_image": ["IMAGE"]
|
|
}
|
|
},
|
|
"input_order": {
|
|
"required": [
|
|
"positive",
|
|
"negative",
|
|
"vae",
|
|
"width",
|
|
"height",
|
|
"length",
|
|
"batch_size"
|
|
],
|
|
"optional": ["clip_vision_output", "start_image"]
|
|
},
|
|
"output": ["CONDITIONING", "CONDITIONING", "LATENT"],
|
|
"output_is_list": [false, false, false],
|
|
"output_name": ["positive", "negative", "latent"],
|
|
"name": "WanImageToVideo",
|
|
"display_name": "WanImageToVideo",
|
|
"description": "",
|
|
"python_module": "comfy_extras.nodes_wan",
|
|
"category": "conditioning/video_models",
|
|
"output_node": false
|
|
},
|
|
"SaveImageWebsocket": {
|
|
"input": { "required": { "images": ["IMAGE"] } },
|
|
"input_order": { "required": ["images"] },
|
|
"output": [],
|
|
"output_is_list": [],
|
|
"output_name": [],
|
|
"name": "SaveImageWebsocket",
|
|
"display_name": "SaveImageWebsocket",
|
|
"description": "",
|
|
"python_module": "custom_nodes.websocket_image_save",
|
|
"category": "api/image",
|
|
"output_node": true
|
|
}
|
|
}
|