Comfyui如何自定义节点node代码和插件下载?
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安装这个comyui插件管理,这里面有丰富的插件可以使用。
https://github.com/ltdrdata/ComfyUI-Manager
当然你也可以用python自己开发一个插件,放到custom_node文件夹下
官网给出了一个示例插件代码写法:
class Example: """ A example node Class methods ------------- INPUT_TYPES (dict): Tell the main program input parameters of nodes. IS_CHANGED: optional method to control when the node is re executed. Attributes ---------- RETURN_TYPES (`tuple`): The type of each element in the output tuple. RETURN_NAMES (`tuple`): Optional: The name of each output in the output tuple. FUNCTION (`str`): The name of the entry-point method. For example, if `FUNCTION = "execute"` then it will run Example().execute() OUTPUT_NODE ([`bool`]): If this node is an output node that outputs a result/image from the graph. The SaveImage node is an example. The backend iterates on these output nodes and tries to execute all their parents if their parent graph is properly connected. Assumed to be False if not present. CATEGORY (`str`): The category the node should appear in the UI. execute(s) -> tuple || None: The entry point method. The name of this method must be the same as the value of property `FUNCTION`. For example, if `FUNCTION = "execute"` then this method's name must be `execute`, if `FUNCTION = "foo"` then it must be `foo`. """ def __init__(self): pass @classmethod def INPUT_TYPES(s): """ Return a dictionary which contains config for all input fields. Some types (string): "MODEL", "VAE", "CLIP", "CONDITIONING", "LATENT", "IMAGE", "INT", "STRING", "FLOAT". Input types "INT", "STRING" or "FLOAT" are special values for fields on the node. The type can be a list for selection. Returns: `dict`: - Key input_fields_group (`string`): Can be either required, hidden or optional. A node class must have property `required` - Value input_fields (`dict`): Contains input fields config: * Key field_name (`string`): Name of a entry-point method's argument * Value field_config (`tuple`): + First value is a string indic...
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