| | 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} |
| |
|
| | class ModelMergeCosmos7B(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["extra_pos_embedder."] = argument |
| | arg_dict["x_embedder."] = argument |
| | arg_dict["t_embedder."] = argument |
| | arg_dict["affline_norm."] = argument |
| |
|
| |
|
| | for i in range(28): |
| | arg_dict["blocks.block{}.".format(i)] = argument |
| |
|
| | arg_dict["final_layer."] = argument |
| |
|
| | return {"required": arg_dict} |
| |
|
| | class ModelMergeCosmos14B(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["extra_pos_embedder."] = argument |
| | arg_dict["x_embedder."] = argument |
| | arg_dict["t_embedder."] = argument |
| | arg_dict["affline_norm."] = argument |
| |
|
| |
|
| | for i in range(36): |
| | arg_dict["blocks.block{}.".format(i)] = argument |
| |
|
| | arg_dict["final_layer."] = argument |
| |
|
| | return {"required": arg_dict} |
| |
|
| | class ModelMergeWAN2_1(comfy_extras.nodes_model_merging.ModelMergeBlocks): |
| | CATEGORY = "advanced/model_merging/model_specific" |
| | DESCRIPTION = "1.3B model has 30 blocks, 14B model has 40 blocks. Image to video model has the extra img_emb." |
| |
|
| | @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["patch_embedding."] = argument |
| | arg_dict["time_embedding."] = argument |
| | arg_dict["time_projection."] = argument |
| | arg_dict["text_embedding."] = argument |
| | arg_dict["img_emb."] = argument |
| |
|
| | for i in range(40): |
| | arg_dict["blocks.{}.".format(i)] = argument |
| |
|
| | arg_dict["head."] = argument |
| |
|
| | return {"required": arg_dict} |
| |
|
| | 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}) |
| |
|
| | arg_dict["pos_embedder."] = argument |
| | arg_dict["x_embedder."] = argument |
| | arg_dict["t_embedder."] = argument |
| | arg_dict["t_embedding_norm."] = argument |
| |
|
| |
|
| | for i in range(28): |
| | arg_dict["blocks.{}.".format(i)] = argument |
| |
|
| | arg_dict["final_layer."] = argument |
| |
|
| | 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 |
| |
|
| |
|
| | for i in range(36): |
| | arg_dict["blocks.{}.".format(i)] = argument |
| |
|
| | 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 |
| |
|
| | arg_dict["proj_out."] = argument |
| |
|
| | return {"required": arg_dict} |
| |
|
| | NODE_CLASS_MAPPINGS = { |
| | "ModelMergeSD1": ModelMergeSD1, |
| | "ModelMergeSD2": ModelMergeSD1, |
| | "ModelMergeSDXL": ModelMergeSDXL, |
| | "ModelMergeSD3_2B": ModelMergeSD3_2B, |
| | "ModelMergeAuraflow": ModelMergeAuraflow, |
| | "ModelMergeFlux1": ModelMergeFlux1, |
| | "ModelMergeSD35_Large": ModelMergeSD35_Large, |
| | "ModelMergeMochiPreview": ModelMergeMochiPreview, |
| | "ModelMergeLTXV": ModelMergeLTXV, |
| | "ModelMergeCosmos7B": ModelMergeCosmos7B, |
| | "ModelMergeCosmos14B": ModelMergeCosmos14B, |
| | "ModelMergeWAN2_1": ModelMergeWAN2_1, |
| | "ModelMergeCosmosPredict2_2B": ModelMergeCosmosPredict2_2B, |
| | "ModelMergeCosmosPredict2_14B": ModelMergeCosmosPredict2_14B, |
| | "ModelMergeQwenImage": ModelMergeQwenImage, |
| | } |
| |
|