diff --git a/api-response-examples/api/experiment/models.json b/api-response-examples/api/experiment/models.json deleted file mode 100644 index ee44e0d..0000000 --- a/api-response-examples/api/experiment/models.json +++ /dev/null @@ -1,88 +0,0 @@ -[ - { - "name": "checkpoints", - "folders": [ - "/stable-diffusion/models/checkpoints", - "/data/models/Stable-diffusion", - "/stable-diffusion/output/checkpoints" - ] - }, - { - "name": "loras", - "folders": [ - "/stable-diffusion/models/loras", - "/data/models/Lora", - "/stable-diffusion/output/loras" - ] - }, - { - "name": "vae", - "folders": [ - "/stable-diffusion/models/vae", - "/data/models/VAE", - "/stable-diffusion/output/vae" - ] - }, - { - "name": "text_encoders", - "folders": [ - "/stable-diffusion/models/text_encoders", - "/stable-diffusion/models/clip", - "/data/models/CLIPEncoder", - "/stable-diffusion/output/clip" - ] - }, - { - "name": "diffusion_models", - "folders": [ - "/stable-diffusion/models/unet", - "/stable-diffusion/models/diffusion_models", - "/stable-diffusion/output/diffusion_models" - ] - }, - { - "name": "clip_vision", - "folders": ["/stable-diffusion/models/clip_vision"] - }, - { - "name": "style_models", - "folders": ["/stable-diffusion/models/style_models"] - }, - { - "name": "embeddings", - "folders": ["/stable-diffusion/models/embeddings", "/data/embeddings"] - }, - { "name": "diffusers", "folders": ["/stable-diffusion/models/diffusers"] }, - { "name": "vae_approx", "folders": ["/stable-diffusion/models/vae_approx"] }, - { - "name": "controlnet", - "folders": [ - "/stable-diffusion/models/controlnet", - "/stable-diffusion/models/t2i_adapter", - "/data/models/ControlNet" - ] - }, - { - "name": "gligen", - "folders": ["/stable-diffusion/models/gligen", "/data/models/GLIGEN"] - }, - { - "name": "upscale_models", - "folders": [ - "/stable-diffusion/models/upscale_models", - "/data/models/RealESRGAN", - "/data/models/ESRGAN", - "/data/models/SwinIR", - "/data/models/GFPGAN" - ] - }, - { - "name": "hypernetworks", - "folders": [ - 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{ "name": "ae.safetensors", "pathIndex": 1 }, - { "name": "sdxl_vae.safetensors", "pathIndex": 1 }, - { "name": "vae-ft-mse-840000-ema-pruned.ckpt", "pathIndex": 1 } -] diff --git a/api-response-examples/api/object-info.json b/api-response-examples/api/object-info.json deleted file mode 100644 index 20f3450..0000000 --- a/api-response-examples/api/object-info.json +++ /dev/null @@ -1,10222 +0,0 @@ -{ - "KSampler": { - "input": { - "required": { - "model": [ - "MODEL", - { "tooltip": "The model used for denoising the input latent." } - ], - "seed": [ - "INT", - { - "default": 0, - "min": 0, - "max": 18446744073709551615, - "control_after_generate": true, - "tooltip": "The random seed used for creating the noise." - } - ], - "steps": [ - "INT", - { - "default": 20, - "min": 1, - "max": 10000, - "tooltip": "The number of steps used in the denoising process." - } - ], - "cfg": [ - "FLOAT", - { - "default": 8.0, - "min": 0.0, - "max": 100.0, - "step": 0.1, - "round": 0.01, - "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." - } - ], - "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" - ], - { - "tooltip": "The algorithm used when sampling, this can affect the quality, speed, and style of the generated output." - } - ], - "scheduler": [ - [ - "normal", - "karras", - "exponential", - "sgm_uniform", - "simple", - "ddim_uniform", - "beta", - "linear_quadratic", - "kl_optimal" - ], - { - "tooltip": "The scheduler controls how noise is gradually removed to form the image." - } - ], - "positive": [ - "CONDITIONING", - { - "tooltip": "The conditioning describing the attributes you want to include in the image." - } - ], - "negative": [ - "CONDITIONING", - { - "tooltip": "The conditioning describing the attributes you want to exclude from the image." - } - ], - "latent_image": [ - "LATENT", - { "tooltip": "The latent image to denoise." } - ], - "denoise": [ - "FLOAT", - { - "default": 1.0, - "min": 0.0, - "max": 1.0, - "step": 0.01, - "tooltip": "The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling." - } - ] - } - }, - "input_order": { - "required": [ - "model", - "seed", - "steps", - "cfg", - "sampler_name", - "scheduler", - "positive", - "negative", - "latent_image", - "denoise" - ] - }, - "output": ["LATENT"], - "output_is_list": [false], - 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}, - "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": { - 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"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 - } -} diff --git a/api-response-examples/api/view_metadata/checkpoints.json b/api-response-examples/api/view_metadata/checkpoints.json deleted file mode 100644 index 6e3df51..0000000 --- a/api-response-examples/api/view_metadata/checkpoints.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "modelspec.hash_sha256": "0x2f3c5caac0469f474439cf84eb09f900bd8e5900f4ad9404c4e05cec12314df6", - "modelspec.date": "2024-08-01", - "modelspec.sai_model_spec": "1.0.1", - "modelspec.author": "Black Forest Labs", - "modelspec.architecture": "Flux.1-dev", - "modelspec.license": "FLUX.1 [dev] Non-Commercial License", - "modelspec.implementation": "https://github.com/black-forest-labs/flux", - "modelspec.thumbnail": "data:image/jpeg;base64,TRUNCATED", - "modelspec.title": "Flux.1-dev", - "modelspec.description": "A guidance distilled rectified flow model." -} diff --git a/api-response-examples/api/view_metadata/loras.json b/api-response-examples/api/view_metadata/loras.json deleted file mode 100644 index 26b67a9..0000000 --- a/api-response-examples/api/view_metadata/loras.json +++ /dev/null @@ -1,77 +0,0 @@ -{ - "ss_caption_dropout_every_n_epochs": "0", - "ss_prior_loss_weight": "1.0", - "ss_num_train_images": "104", - "ss_network_alpha": "4", - "ss_noise_offset": "None", - "ss_mixed_precision": "bf16", - "ss_adaptive_noise_scale": "None", - "ss_scale_weight_norms": "None", - "modelspec.prediction_type": "epsilon", - "ss_multires_noise_iterations": "None", - "ss_max_grad_norm": "1.0", - "ss_cache_latents": "True", - "ss_gradient_checkpointing": "False", - "ss_num_reg_images": "0", - "ss_max_token_length": "225", - "ss_caption_tag_dropout_rate": "0.0", - "ss_session_id": "1196997936", - "ss_full_fp16": "False", - "modelspec.date": "09/05/2024 16:26:01", - "ss_datasets": "[{\"is_dreambooth\": true, \"batch_size_per_device\": 2, \"num_train_images\": 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\"highleg swimsuit\": 3, \"notched ear\": 1, \"clenched teeth\": 3, \"large areolae\": 1, \"one-piece swimsuit pull\": 1, \"alternate costume\": 2, \"scowl\": 1, \"two-tone swimsuit\": 1, \"multicolored swimsuit\": 1, \"groin\": 6, \"dog girl\": 1, \"curvy\": 1, \"swimsuit under clothes\": 1, \"ferry (granblue fantasy)\": 1, \"medium breasts\": 6, \"erune\": 1, \"backless dress\": 1, \"backless outfit\": 3, \"hoop earrings\": 1, \"brown eyes\": 2, \"from side\": 3, \"bare back\": 1, \"single earring\": 1, \"wavy mouth\": 1, \"white dress\": 6, \"sun hat\": 1, \"lillie (pokemon)\": 1, \"braid\": 1, \"twin braids\": 1, \"white headwear\": 1, \"collared dress\": 1, \"sundress\": 1, \"ganyu (genshin impact)\": 4, \"goat horns\": 4, \"highleg\": 1, \"neck bell\": 4, \"brown pantyhose\": 2, \"cowbell\": 4, \"alternate breast size\": 2, \"saliva\": 3, \"leotard under clothes\": 3, \"black pantyhose\": 3, \"thighlet\": 2, \"2021\": 1, \"cow tail\": 1, \"yumemi riamu\": 1, \"animal print\": 1, 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schedulers from the object info + Future> getSchedulers() async { + final objectInfo = await getObjectInfo(); + if (objectInfo.containsKey('KSampler') && + objectInfo['KSampler']['input']['required'].containsKey('scheduler')) { + return List.from( + objectInfo['KSampler']['input']['required']['scheduler'][0]); + } + throw ComfyUiApiException( + statusCode: 500, + message: 'Scheduler information not found in object info.'); + } + /// Submits a prompt (workflow) to generate an image Future submitPrompt(Map prompt) async { final response = await _httpClient.post( diff --git a/lib/src/object_info_response.json b/lib/src/object_info_response.json new file mode 100644 index 0000000..849fb36 --- /dev/null +++ b/lib/src/object_info_response.json @@ -0,0 +1,162 @@ +{ + "KSampler": { + "input": { + "required": { + "model": [ + "MODEL", + { + "tooltip": "The model used for denoising the input latent." + } + ], + "seed": [ + "INT", + { + "default": 0, + "min": 0, + "max": 18446744073709551615, + "control_after_generate": true, + "tooltip": "The random seed used for creating the noise." + } + ], + "steps": [ + "INT", + { + "default": 20, + "min": 1, + "max": 10000, + "tooltip": "The number of steps used in the denoising process." + } + ], + "cfg": [ + "FLOAT", + { + "default": 8.0, + "min": 0.0, + "max": 100.0, + "step": 0.1, + "round": 0.01, + "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." + } + ], + "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" + ], + { + "tooltip": "The algorithm used when sampling, this can affect the quality, speed, and style of the generated output." + } + ], + "scheduler": [ + [ + "normal", + "karras", + "exponential", + "sgm_uniform", + "simple", + "ddim_uniform", + "beta", + "linear_quadratic", + "kl_optimal" + ], + { + "tooltip": "The scheduler controls how noise is gradually removed to form the image." + } + ], + "positive": [ + "CONDITIONING", + { + "tooltip": "The conditioning describing the attributes you want to include in the image." + } + ], + "negative": [ + "CONDITIONING", + { + "tooltip": "The conditioning describing the attributes you want to exclude from the image." + } + ], + "latent_image": [ + "LATENT", + { + "tooltip": "The latent image to denoise." + } + ], + "denoise": [ + "FLOAT", + { + "default": 1.0, + "min": 0.0, + "max": 1.0, + "step": 0.01, + "tooltip": "The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling." + } + ] + } + }, + "input_order": { + "required": [ + "model", + "seed", + "steps", + "cfg", + "sampler_name", + "scheduler", + "positive", + "negative", + "latent_image", + "denoise" + ] + }, + "output": [ + "LATENT" + ], + "output_is_list": [ + false + ], + "output_name": [ + "LATENT" + ], + "name": "KSampler", + "display_name": "KSampler", + "description": "Uses the provided model, positive and negative conditioning to denoise the latent image.", + "python_module": "nodes", + "category": "sampling", + "output_node": false, + "output_tooltips": [ + "The denoised latent." + ] + } +} \ No newline at end of file