| 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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|
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| arg_dict["time_embed."] = argument
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| arg_dict["label_emb."] = argument
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|
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| for i in range(12):
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| arg_dict["input_blocks.{}.".format(i)] = argument
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|
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| for i in range(3):
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| arg_dict["middle_block.{}.".format(i)] = argument
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|
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| for i in range(12):
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| arg_dict["output_blocks.{}.".format(i)] = argument
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|
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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
|
| 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
|
| def INPUT_TYPES(s):
|
| 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
|
| def INPUT_TYPES(s):
|
| arg_dict = { "model1": ("MODEL",),
|
| "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
|
| def INPUT_TYPES(s):
|
| 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
|
| def INPUT_TYPES(s):
|
| arg_dict = { "model1": ("MODEL",),
|
| "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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|
|
| class ModelMergeCosmos7B(comfy_extras.nodes_model_merging.ModelMergeBlocks):
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| CATEGORY = "advanced/model_merging/model_specific"
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|
|
| @classmethod
|
| def INPUT_TYPES(s):
|
| arg_dict = { "model1": ("MODEL",),
|
| "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_embedder."] = argument
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| arg_dict["extra_pos_embedder."] = argument
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| arg_dict["x_embedder."] = argument
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| arg_dict["t_embedder."] = argument
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| arg_dict["affline_norm."] = argument
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|
|
|
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| for i in range(28):
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| arg_dict["blocks.block{}.".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 ModelMergeCosmos14B(comfy_extras.nodes_model_merging.ModelMergeBlocks):
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| CATEGORY = "advanced/model_merging/model_specific"
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|
|
| @classmethod
|
| def INPUT_TYPES(s):
|
| 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_embedder."] = argument
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| arg_dict["extra_pos_embedder."] = argument
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| arg_dict["x_embedder."] = argument
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| arg_dict["t_embedder."] = argument
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| arg_dict["affline_norm."] = argument
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|
|
|
|
| for i in range(36):
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| arg_dict["blocks.block{}.".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 ModelMergeWAN2_1(comfy_extras.nodes_model_merging.ModelMergeBlocks):
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| CATEGORY = "advanced/model_merging/model_specific"
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| DESCRIPTION = "1.3B model has 30 blocks, 14B model has 40 blocks. Image to video model has the extra img_emb."
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|
|
| @classmethod
|
| def INPUT_TYPES(s):
|
| 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["patch_embedding."] = argument
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| arg_dict["time_embedding."] = argument
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| arg_dict["time_projection."] = argument
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| arg_dict["text_embedding."] = argument
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| arg_dict["img_emb."] = argument
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|
|
| for i in range(40):
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| arg_dict["blocks.{}.".format(i)] = argument
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|
|
| arg_dict["head."] = argument
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|
|
| return {"required": arg_dict}
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|
|
| class ModelMergeCosmosPredict2_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})
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|
|
| arg_dict["pos_embedder."] = argument
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| arg_dict["x_embedder."] = argument
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| arg_dict["t_embedder."] = argument
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| arg_dict["t_embedding_norm."] = argument
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|
|
|
|
| for i in range(28):
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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}
|
|
|
| class ModelMergeCosmosPredict2_14B(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_embedder."] = argument
|
| arg_dict["x_embedder."] = argument
|
| arg_dict["t_embedder."] = argument
|
| arg_dict["t_embedding_norm."] = argument
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|
|
|
|
| for i in range(36):
|
| arg_dict["blocks.{}.".format(i)] = argument
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|
|
| arg_dict["final_layer."] = argument
|
|
|
| return {"required": arg_dict}
|
|
|
| class ModelMergeQwenImage(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_embeds."] = argument
|
| arg_dict["img_in."] = argument
|
| arg_dict["txt_norm."] = argument
|
| arg_dict["txt_in."] = argument
|
| arg_dict["time_text_embed."] = argument
|
|
|
| for i in range(60):
|
| arg_dict["transformer_blocks.{}.".format(i)] = argument
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|
|
| arg_dict["proj_out."] = argument
|
|
|
| return {"required": arg_dict}
|
|
|
| NODE_CLASS_MAPPINGS = {
|
| "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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| "ModelMergeCosmos7B": ModelMergeCosmos7B,
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| "ModelMergeCosmos14B": ModelMergeCosmos14B,
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| "ModelMergeWAN2_1": ModelMergeWAN2_1,
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| "ModelMergeCosmosPredict2_2B": ModelMergeCosmosPredict2_2B,
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| "ModelMergeCosmosPredict2_14B": ModelMergeCosmosPredict2_14B,
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| "ModelMergeQwenImage": ModelMergeQwenImage,
|
| }
|
|
|