RefurnishAI / comfy_extras /nodes_model_merging_model_specific.py
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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}
class ModelMergeSD3_2B(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["pos_embed."] = argument
arg_dict["x_embedder."] = argument
arg_dict["context_embedder."] = argument
arg_dict["y_embedder."] = argument
arg_dict["t_embedder."] = argument
for i in range(24):
arg_dict["joint_blocks.{}.".format(i)] = argument
arg_dict["final_layer."] = argument
return {"required": arg_dict}
class ModelMergeAuraflow(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["init_x_linear."] = argument
arg_dict["positional_encoding"] = argument
arg_dict["cond_seq_linear."] = argument
arg_dict["register_tokens"] = argument
arg_dict["t_embedder."] = argument
for i in range(4):
arg_dict["double_layers.{}.".format(i)] = argument
for i in range(32):
arg_dict["single_layers.{}.".format(i)] = argument
arg_dict["modF."] = argument
arg_dict["final_linear."] = argument
return {"required": arg_dict}
class ModelMergeFlux1(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["img_in."] = argument
arg_dict["time_in."] = argument
arg_dict["guidance_in"] = argument
arg_dict["vector_in."] = argument
arg_dict["txt_in."] = argument
for i in range(19):
arg_dict["double_blocks.{}.".format(i)] = argument
for i in range(38):
arg_dict["single_blocks.{}.".format(i)] = argument
arg_dict["final_layer."] = argument
return {"required": arg_dict}
class ModelMergeSD35_Large(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["pos_embed."] = argument
arg_dict["x_embedder."] = argument
arg_dict["context_embedder."] = argument
arg_dict["y_embedder."] = argument
arg_dict["t_embedder."] = argument
for i in range(38):
arg_dict["joint_blocks.{}.".format(i)] = argument
arg_dict["final_layer."] = argument
return {"required": arg_dict}
class ModelMergeMochiPreview(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["pos_frequencies."] = argument
arg_dict["t_embedder."] = argument
arg_dict["t5_y_embedder."] = argument
arg_dict["t5_yproj."] = argument
for i in range(48):
arg_dict["blocks.{}.".format(i)] = argument
arg_dict["final_layer."] = argument
return {"required": arg_dict}
class ModelMergeLTXV(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["patchify_proj."] = argument
arg_dict["adaln_single."] = argument
arg_dict["caption_projection."] = argument
for i in range(28):
arg_dict["transformer_blocks.{}.".format(i)] = argument
arg_dict["scale_shift_table"] = argument
arg_dict["proj_out."] = argument
return {"required": arg_dict}
NODE_CLASS_MAPPINGS = {
"ModelMergeSD1": ModelMergeSD1,
"ModelMergeSD2": ModelMergeSD1, #SD1 and SD2 have the same blocks
"ModelMergeSDXL": ModelMergeSDXL,
"ModelMergeSD3_2B": ModelMergeSD3_2B,
"ModelMergeAuraflow": ModelMergeAuraflow,
"ModelMergeFlux1": ModelMergeFlux1,
"ModelMergeSD35_Large": ModelMergeSD35_Large,
"ModelMergeMochiPreview": ModelMergeMochiPreview,
"ModelMergeLTXV": ModelMergeLTXV,
}