Remove deprecated model JSON files and add methods to retrieve samplers and schedulers from object info

lib/src/comfyui_api.dart

@@ -186,6 +186,33 @@ class ComfyUiApi {
     return jsonDecode(response.body);
   }
 
+  /// Gets a list of possible samplers from the object info
+  Future<List<String>> getKSamplers() async {
+    final objectInfo = await getObjectInfo();
+    if (objectInfo.containsKey('KSampler') &&
+        objectInfo['KSampler']['input']['required']
+            .containsKey('sampler_name')) {
+      return List<String>.from(
+          objectInfo['KSampler']['input']['required']['sampler_name'][0]);
+    }
+    throw ComfyUiApiException(
+        statusCode: 500,
+        message: 'KSampler information not found in object info.');
+  }
+
+  /// Gets a list of possible schedulers from the object info
+  Future<List<String>> getSchedulers() async {
+    final objectInfo = await getObjectInfo();
+    if (objectInfo.containsKey('KSampler') &&
+        objectInfo['KSampler']['input']['required'].containsKey('scheduler')) {
+      return List<String>.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<SubmitPromptResponse> submitPrompt(Map<String, dynamic> prompt) async {
     final response = await _httpClient.post(

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."
+    ]
+  }
+}