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David0219
/
FAPEIR_Uniworld

Image-to-Image
Diffusers
Safetensors
English
image-restoration
all-in-one
diffusion
flow-matching
mllm
flux
qwen2.5-vl
siglip2
low-level-vision
Model card Files Files and versions
xet
Community

Instructions to use David0219/FAPEIR_Uniworld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use David0219/FAPEIR_Uniworld 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("David0219/FAPEIR_Uniworld", 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]
  • Notebooks
  • Google Colab
  • Kaggle
FAPEIR_Uniworld / flux
48.4 GB
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  • 1 contributor
History: 6 commits
David0219's picture
David0219
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b6cd2ad verified about 1 month ago
  • scheduler
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  • text_encoder
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  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • transformer
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  • vae
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  • LICENSE.md
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  • README.md
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  • ae.safetensors
    335 MB
    xet
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  • dev_grid.jpg
    1.3 MB
    xet
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  • flux1-dev.safetensors
    23.8 GB
    xet
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  • model_index.json
    536 Bytes
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