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QuantFunc
/
Nunchaku-Qwen-Image-EDIT-2511

Image-to-Image
Diffusers
English
Chinese
custom_qwen_image
image-generation
multimodal
qwen
quantized
nunchaku
comfyui
Model card Files Files and versions
xet
Community
6

Instructions to use QuantFunc/Nunchaku-Qwen-Image-EDIT-2511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use QuantFunc/Nunchaku-Qwen-Image-EDIT-2511 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("QuantFunc/Nunchaku-Qwen-Image-EDIT-2511", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
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Long first gen

#6 opened 2 months ago by
Vernon79

Guide on how to create nunchaku weights

#5 opened 4 months ago by
vibhavagarwal5

Discord link expired

1
#4 opened 4 months ago by
toutoufmanga

Possible version with 4-step lightning lora merged?

5
#3 opened 4 months ago by
Kamikaze-88

Shape '[1, 52, 78, 16, 2, 2]' is invalid for input of size 519168 when using index_timestep_zero to fix image quality

9
#2 opened 4 months ago by
asdasdasd21313wad

Possible to run this in RTX 2060 Super 8GB VRAM?

3
#1 opened 4 months ago by
krigeta
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