INPUT_TYPES: 输入参数的类型定义。 RETURN_TYPES: 返回数据的类型定义。 FUNCTION: 节点的具体执行函数。 CATEGORY: 节点的类别,用于在 UI 中分类显示。 节点类型 ComfyUI 支持两种类型的节点: 内置节点: 在系统启动时加载,存储在 comfy_extras 目录下。内置节点提供了常见的图像操作、模型加载和处理功能。 自定义...
def INPUT_TYPES(cls): return { "required": { "load_local_model": ("BOOLEAN", {"default": False}), "device": (["auto", "cuda", "cpu", "mps", "xpu", "meta"], {"default": "auto"}) }, "optional": { "local_model_path": ("STRING", {"default": model_path}), } } ...
1.找到这部分代码位置 # Predict the segemntation maskwithtorch.no_grad():outputs=model(**input_prc)tensor=torch.sigmoid(outputs[0])# get the mask 2.修改为如下 # Predict the segemntation maskwithtorch.no_grad():outputs=model(**input_prc)preds=outputs.logits.unsqueeze(1)tensor=torch.sigmoid...
from .utils import here, create_node_input_types File "F:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_controlnet_aux\utils.py", line 4, in <module> import cv2ModuleNotFoundError: No module named 'cv2'Cannot import F:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui...
INPUT_TYPES().items()} info['output'] = obj_class.RETURN_TYPES info['output_is_list'] = obj_class.OUTPUT_IS_LIST if hasattr(obj_class, 'OUTPUT_IS_LIST') else [False] * len(obj_class.RETURN_TYPES) info['output_name'] = obj_class.RETURN_NAMES if hasattr(obj_class, 'RETURN...
Only parts of the graph that have an output with all the correct inputs will be executed. Only parts of the graph that change from each execution to the next will be executed, if you submit the same graph twice only the first will be executed. If you change the last part of the grap...
[NodeDef] Add documentation on multi_select input option by @huchenlei in #7212 Add codeowner for comfy/comfy_types by @huchenlei in #7213 Add --use-flash-attention flag. by @FeepingCreature in #7223 Tolerate missing @torch.library.custom_op by @FeepingCreature in #7234 Update frontend ...
def INPUT_TYPES(s): return {"required": { "model": ("MODEL",), "clip": ("CLIP",), "vae": ("VAE",), "brushnet_model": ( [ "brushnet_segmentation_mask", "brushnet_random_mask", "powerpaint_v2_brushnet", ...
Only parts of the graph that have an output with all the correct inputs will be executed. Only parts of the graph that change from each execution to the next will be executed, if you submit the same graph twice only the first will be executed. If you change the last part of the grap...
def funcTimesTwo(self, input1): returnval = 0 returnval = input1 * 2 return (returnval,) 1. 2. 3. 4. 把这些结合起来,完整的类如下所示: class TimesTwo: @classmethod def INPUT_TYPES(cls): inputs = { "required": { "input1": ("INT", {}), ...