ComfyUI/comfy_extras/nodes_model_merging_model_specific.py
Kohaku-Blueleaf 88d9168df0
Sync (#1)
* Allow disabling pe in flux code for some other models.

* Initial Hunyuan3Dv2 implementation.

Supports the multiview, mini, turbo models and VAEs.

* Fix orientation of hunyuan 3d model.

* A few fixes for the hunyuan3d models.

* Update frontend to 1.13 (#7331)

* Add backend primitive nodes (#7328)

* Add backend primitive nodes

* Add control after generate to int primitive

* Nodes to convert images to YUV and back.

Can be used to convert an image to black and white.

* Update frontend to 1.14 (#7343)

* Native LotusD Implementation (#7125)

* draft pass at a native comfy implementation of Lotus-D depth and normal est

* fix model_sampling kludges

* fix ruff

---------

Co-authored-by: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>

* Automatically set the right sampling type for lotus.

* support output normal and lineart once (#7290)

* [nit] Format error strings (#7345)

* ComfyUI version v0.3.27

* Fallback to pytorch attention if sage attention fails.

* Add model merging node for WAN 2.1

* Add Hunyuan3D to readme.

* Support more float8 types.

* Add CFGZeroStar node.

Works on all models that use a negative prompt but is meant for rectified
flow models.

* Support the WAN 2.1 fun control models.

Use the new WanFunControlToVideo node.

* Add WanFunInpaintToVideo node for the Wan fun inpaint models.

* Update frontend to 1.14.6 (#7416)

Cherry-pick the fix: https://github.com/Comfy-Org/ComfyUI_frontend/pull/3252

* Don't error if wan concat image has extra channels.

* ltxv: fix preprocessing exception when compression is 0. (#7431)

* Remove useless code.

* Fix latent composite node not working when source has alpha.

* Fix alpha channel mismatch on destination in ImageCompositeMasked

* Add option to store TE in bf16 (#7461)

* User missing (#7439)

* Ensuring a 401 error is returned when user data is not found in multi-user context.

* Returning a 401 error when provided comfy-user does not exists on server side.

* Fix comment.

This function does not support quads.

* MLU memory optimization (#7470)

Co-authored-by: huzhan <huzhan@cambricon.com>

* Fix alpha image issue in more nodes.

* Fix problem.

* Disable partial offloading of audio VAE.

* Add activations_shape info in UNet models (#7482)

* Add activations_shape info in UNet models

* activations_shape should be a list

* Support 512 siglip model.

* Show a proper error to the user when a vision model file is invalid.

* Support the wan fun reward loras.

---------

Co-authored-by: comfyanonymous <comfyanonymous@protonmail.com>
Co-authored-by: Chenlei Hu <hcl@comfy.org>
Co-authored-by: thot experiment <94414189+thot-experiment@users.noreply.github.com>
Co-authored-by: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>
Co-authored-by: Terry Jia <terryjia88@gmail.com>
Co-authored-by: Michael Kupchick <michael@lightricks.com>
Co-authored-by: BVH <82035780+bvhari@users.noreply.github.com>
Co-authored-by: Laurent Erignoux <lerignoux@gmail.com>
Co-authored-by: BiologicalExplosion <49753622+BiologicalExplosion@users.noreply.github.com>
Co-authored-by: huzhan <huzhan@cambricon.com>
Co-authored-by: Raphael Walker <slickytail.mc@gmail.com>
2025-04-08 18:38:44 +08:00

285 lines
9.0 KiB
Python

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}
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,
"ModelMergeCosmos7B": ModelMergeCosmos7B,
"ModelMergeCosmos14B": ModelMergeCosmos14B,
"ModelMergeWAN2_1": ModelMergeWAN2_1,
}