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import comfy_extras.nodes_model_merging |
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class ModelMergeSD1(comfy_extras.nodes_model_merging.ModelMergeBlocks): |
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CATEGORY = "advanced/model_merging/model_specific" |
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@classmethod |
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def INPUT_TYPES(s): |
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arg_dict = { "model1": ("MODEL",), |
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"model2": ("MODEL",)} |
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argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) |
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arg_dict["time_embed."] = argument |
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arg_dict["label_emb."] = argument |
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for i in range(12): |
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arg_dict["input_blocks.{}.".format(i)] = argument |
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for i in range(3): |
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arg_dict["middle_block.{}.".format(i)] = argument |
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for i in range(12): |
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arg_dict["output_blocks.{}.".format(i)] = argument |
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arg_dict["out."] = argument |
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return {"required": arg_dict} |
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class ModelMergeSDXL(comfy_extras.nodes_model_merging.ModelMergeBlocks): |
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CATEGORY = "advanced/model_merging/model_specific" |
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@classmethod |
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def INPUT_TYPES(s): |
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arg_dict = { "model1": ("MODEL",), |
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"model2": ("MODEL",)} |
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argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) |
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arg_dict["time_embed."] = argument |
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arg_dict["label_emb."] = argument |
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for i in range(9): |
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arg_dict["input_blocks.{}".format(i)] = argument |
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for i in range(3): |
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arg_dict["middle_block.{}".format(i)] = argument |
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for i in range(9): |
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arg_dict["output_blocks.{}".format(i)] = argument |
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arg_dict["out."] = argument |
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return {"required": arg_dict} |
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class ModelMergeSD3_2B(comfy_extras.nodes_model_merging.ModelMergeBlocks): |
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CATEGORY = "advanced/model_merging/model_specific" |
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@classmethod |
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def INPUT_TYPES(s): |
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arg_dict = { "model1": ("MODEL",), |
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"model2": ("MODEL",)} |
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argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) |
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arg_dict["pos_embed."] = argument |
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arg_dict["x_embedder."] = argument |
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arg_dict["context_embedder."] = argument |
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arg_dict["y_embedder."] = argument |
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arg_dict["t_embedder."] = argument |
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for i in range(24): |
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arg_dict["joint_blocks.{}.".format(i)] = argument |
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arg_dict["final_layer."] = argument |
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return {"required": arg_dict} |
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class ModelMergeAuraflow(comfy_extras.nodes_model_merging.ModelMergeBlocks): |
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CATEGORY = "advanced/model_merging/model_specific" |
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@classmethod |
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def INPUT_TYPES(s): |
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arg_dict = { "model1": ("MODEL",), |
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"model2": ("MODEL",)} |
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argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) |
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arg_dict["init_x_linear."] = argument |
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arg_dict["positional_encoding"] = argument |
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arg_dict["cond_seq_linear."] = argument |
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arg_dict["register_tokens"] = argument |
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arg_dict["t_embedder."] = argument |
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for i in range(4): |
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arg_dict["double_layers.{}.".format(i)] = argument |
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for i in range(32): |
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arg_dict["single_layers.{}.".format(i)] = argument |
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arg_dict["modF."] = argument |
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arg_dict["final_linear."] = argument |
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return {"required": arg_dict} |
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class ModelMergeFlux1(comfy_extras.nodes_model_merging.ModelMergeBlocks): |
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CATEGORY = "advanced/model_merging/model_specific" |
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@classmethod |
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def INPUT_TYPES(s): |
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arg_dict = { "model1": ("MODEL",), |
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"model2": ("MODEL",)} |
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argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) |
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arg_dict["img_in."] = argument |
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arg_dict["time_in."] = argument |
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arg_dict["guidance_in"] = argument |
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arg_dict["vector_in."] = argument |
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arg_dict["txt_in."] = argument |
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for i in range(19): |
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arg_dict["double_blocks.{}.".format(i)] = argument |
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for i in range(38): |
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arg_dict["single_blocks.{}.".format(i)] = argument |
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arg_dict["final_layer."] = argument |
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return {"required": arg_dict} |
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class ModelMergeSD35_Large(comfy_extras.nodes_model_merging.ModelMergeBlocks): |
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CATEGORY = "advanced/model_merging/model_specific" |
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@classmethod |
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def INPUT_TYPES(s): |
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arg_dict = { "model1": ("MODEL",), |
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"model2": ("MODEL",)} |
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argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) |
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arg_dict["pos_embed."] = argument |
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arg_dict["x_embedder."] = argument |
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arg_dict["context_embedder."] = argument |
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arg_dict["y_embedder."] = argument |
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arg_dict["t_embedder."] = argument |
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for i in range(38): |
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arg_dict["joint_blocks.{}.".format(i)] = argument |
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arg_dict["final_layer."] = argument |
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return {"required": arg_dict} |
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class ModelMergeMochiPreview(comfy_extras.nodes_model_merging.ModelMergeBlocks): |
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CATEGORY = "advanced/model_merging/model_specific" |
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@classmethod |
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def INPUT_TYPES(s): |
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arg_dict = { "model1": ("MODEL",), |
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"model2": ("MODEL",)} |
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argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) |
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arg_dict["pos_frequencies."] = argument |
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arg_dict["t_embedder."] = argument |
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arg_dict["t5_y_embedder."] = argument |
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arg_dict["t5_yproj."] = argument |
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for i in range(48): |
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arg_dict["blocks.{}.".format(i)] = argument |
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arg_dict["final_layer."] = argument |
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return {"required": arg_dict} |
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class ModelMergeLTXV(comfy_extras.nodes_model_merging.ModelMergeBlocks): |
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CATEGORY = "advanced/model_merging/model_specific" |
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@classmethod |
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def INPUT_TYPES(s): |
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arg_dict = { "model1": ("MODEL",), |
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"model2": ("MODEL",)} |
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argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) |
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arg_dict["patchify_proj."] = argument |
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arg_dict["adaln_single."] = argument |
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arg_dict["caption_projection."] = argument |
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for i in range(28): |
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arg_dict["transformer_blocks.{}.".format(i)] = argument |
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arg_dict["scale_shift_table"] = argument |
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arg_dict["proj_out."] = argument |
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return {"required": arg_dict} |
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NODE_CLASS_MAPPINGS = { |
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"ModelMergeSD1": ModelMergeSD1, |
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"ModelMergeSD2": ModelMergeSD1, |
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"ModelMergeSDXL": ModelMergeSDXL, |
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"ModelMergeSD3_2B": ModelMergeSD3_2B, |
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"ModelMergeAuraflow": ModelMergeAuraflow, |
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"ModelMergeFlux1": ModelMergeFlux1, |
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"ModelMergeSD35_Large": ModelMergeSD35_Large, |
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"ModelMergeMochiPreview": ModelMergeMochiPreview, |
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"ModelMergeLTXV": ModelMergeLTXV, |
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} |
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