The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
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import comfy_extras.nodes_model_merging
class ModelMergeSD1(comfy_extras.nodes_model_merging.ModelMergeBlocks):
CATEGORY = "advanced/model_merging/model_specific"
@classmethod
def INPUT_TYPES(s):
arg_dict = { "model1": ("MODEL",),
"model2": ("MODEL",)}
argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
arg_dict["time_embed."] = argument
arg_dict["label_emb."] = argument
for i in range(12):
arg_dict["input_blocks.{}.".format(i)] = argument
for i in range(3):
arg_dict["middle_block.{}.".format(i)] = argument
for i in range(12):
arg_dict["output_blocks.{}.".format(i)] = argument
arg_dict["out."] = argument
return {"required": arg_dict}
class ModelMergeSDXL(comfy_extras.nodes_model_merging.ModelMergeBlocks):
CATEGORY = "advanced/model_merging/model_specific"
@classmethod
def INPUT_TYPES(s):
arg_dict = { "model1": ("MODEL",),
"model2": ("MODEL",)}
argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
arg_dict["time_embed."] = argument
arg_dict["label_emb."] = argument
for i in range(9):
arg_dict["input_blocks.{}".format(i)] = argument
for i in range(3):
arg_dict["middle_block.{}".format(i)] = argument
for i in range(9):
arg_dict["output_blocks.{}".format(i)] = argument
arg_dict["out."] = argument
return {"required": arg_dict}
NODE_CLASS_MAPPINGS = {
"ModelMergeSD1": ModelMergeSD1,
"ModelMergeSD2": ModelMergeSD1, #SD1 and SD2 have the same blocks
"ModelMergeSDXL": ModelMergeSDXL,
}