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LongCat Image Edit DF11

For more information (including how to compress models yourself), check out and

Quellehuggingface.co/mingyi456/LongCat-Image-Edit-DF11/tree/8014986146a3b1ec68f16e7c9ca2408ec2ac0898

ArtUNetBasismodellmeituan-longcat/LongCat-Image-EditVersionmodelBBewertung

Modellquelle

Art: UNet
Dateigröße: 8,29 GB
Basismodell: meituan-longcat/LongCat-Image-Edit
Version: vmodel
Aktualisiert: 9. Okt. 2026
Downloads: 17
Quelle: Hugging Face

Quellenbeschreibung

For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11

Feel free to request for other models for compression as well (for either the diffusers library, ComfyUI, or any other model), although models that use architectures which are unfamiliar to me might be more difficult.

How to Use

`diffusers`

import torch
from diffusers import LongCatImageEditPipeline, LongCatImageTransformer2DModel

# for transformers version >=5.0.0
# from transformers.initialization import no_init_weights

# else
from transformers.modeling_utils import no_init_weights

with no_init_weights():
    transformer = LongCatImageTransformer2DModel.from_config(
        LongCatImageTransformer2DModel.load_config(
            "meituan-longcat/LongCat-Image-Edit", subfolder="transformer"
        ),
        torch_dtype=torch.bfloat16
    ).to(torch.bfloat16)
DFloat11Model.from_pretrained(
    "mingyi456/LongCat-Image-Edit-DF11",
    device="cpu",
    bfloat16_model=transformer,
)
pipe = LongCatImageEditPipeline.from_pretrained(
    "meituan-longcat/LongCat-Image-Edit",
    transformer=transformer, 
    torch_dtype=torch.bfloat16
)
DFloat11Model.from_pretrained(
    "mingyi456/Qwen2.5-VL-7B-Instruct-DF11",
    device="cpu",
    bfloat16_model=pipe.text_encoder,
)
pipe.enable_model_cpu_offload()

img = Image.open('assets/test.png').convert('RGB')
prompt = '将猫变成狗'
image = pipe(
    img,
    prompt,
    negative_prompt='',
    guidance_scale=4.5,
    num_inference_steps=50,
    num_images_per_prompt=1,
    generator=torch.Generator("cpu").manual_seed(43)
).images[0]

image.save('image longcat-image-edit.png')

ComfyUI

Currently, this model is not supported natively in ComfyUI. Do let me know if it receives native support, and I will get to supporting it.

Compression details

This is the pattern_dict for compression:

pattern_dict = {
    r"transformer_blocks\.\d+": (
        "norm1.linear",
        "norm1_context.linear",
        "attn.to_q",
        "attn.to_k",
        "attn.to_v",
        "attn.to_out.0",
        "attn.add_q_proj",
        "attn.add_k_proj",
        "attn.add_v_proj",
        "attn.to_add_out",
        "ff.net.0.proj",
        "ff.net.2",
        "ff_context.net.0.proj",
        "ff_context.net.2",
    ),
    r"single_transformer_blocks\.\d+": (
        "norm.linear",
        "proj_mlp",
        "proj_out",
        "attn.to_q",
        "attn.to_k",
        "attn.to_v",
    ),
}

Quellen

1 Quelle

Hugging FacePrimärVersion 8014986146a3b1ec68f16e7c9ca2408ec2ac0898

huggingface.co/mingyi456/LongCat-Image-Edit-DF11/tree/8014986146a3b1ec68f16e7c9ca2408ec2ac0898

Verifiziert 9. Okt.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · 8,29 GB · SHA-256 3e5a05cdffc5…2f13 · Hugging Face

Download file

Quellenauszüge

3 Auszüge

Readme31. Julihuggingface.co/mingyi456/LongCat-Image-Edit-DF11

--- license: apache-2.0 language: - en - zh base_model: - meituan-longcat/LongCat-Image-Edit base_model_relation: quantized pipeline_tag: image-text-to-image library_name: diffusers tags: - diffusion-single-file --- For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11 Feel free to request for other models for compression as well (for either the `diffusers` library, ComfyUI, or any other model), although models that use architectures which are unfamiliar to me might be more difficult. ### How to Use #### `diffusers` ```python import torch from diffusers import LongCatImageEditPipeline, LongCatImageTransformer2DModel # for transformers version >=5.0.0 # from transformers.initialization import no_init_weights # else from transformers.modeling_utils import no_init_weights with no_init_weights(): transformer = LongCatImageTransformer2DModel.from_config( LongCatImageTransformer2DModel.load_config( "meituan-longcat/LongCat-Image-Edit", subfolder="transformer" ), torch_dtype=torch.bfloat16 ).to(torch.bfloat16) DFloat11Model.from_pretrained( "mingyi456/LongCat-Image-Edit-DF11", device="cpu", bfloat16_model=transformer, ) pipe = LongCatImageEditPipeline.from_pretrained( "meituan-longcat/LongCat-Image-Edit", transformer=transformer, torch_dtype=torch.bfloat16 ) DFloat11Model.from_pretrained( "mingyi456/Qwen2.5-VL-7B-Instruct-DF11", device="cpu", bfloat16_model=pipe.text_encoder, ) pipe.enable_model_cpu_offload() img = Image.open('assets/test.png').convert('RGB') prompt = '将猫变成狗' image = pipe( img, prompt, negative_prompt='', guidance_scale=4.5, num_inference_steps=50, num_images_per_prompt=1, generator=torch.Generator("cpu").manual_seed(43) ).images[0] image.save('image longcat-image-edit.png') ``` #### ComfyUI Currently, this model is not supported natively in ComfyUI. Do let me know if it receives native support, and I will get to supporting it. ### Compression details This is the `pattern_dict` for compression: ```python pattern_dict = { r"transformer_blocks\.\d+": ( "norm1.linear", "norm1_context.linear", "attn.to_q", "attn.to_k", "attn.to_v", "attn.to_out.0", "attn.add_q_proj", "attn.add_k_proj", "attn.add_v_proj", "attn.to_add_out", "ff.net.0.proj", "ff.net.2", "ff_context.net.0.proj", "ff_context.net.2", ), r"si...

Note9. Okt.huggingface.co/mingyi456/LongCat-Image-Edit-DF11

Source context: 17 downloads · 2 likes · Pipeline image-text-to-image · Library diffusers · Repo mingyi456/LongCat-Image-Edit-DF11

Note31. Julihuggingface.co/mingyi456/LongCat-Image-Edit-DF11

Source context: 10 downloads · 2 likes · Pipeline image-text-to-image · Library diffusers · Repo mingyi456/LongCat-Image-Edit-DF11