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internlm
/
EndoCoT

Image-to-Image
Diffusers
Safetensors
English
QwenImageEditPlusPipeline
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Diffusers

    How to use internlm/EndoCoT 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("internlm/EndoCoT", 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
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  • Kaggle
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Something wrong about the test results of VSP.

#3 opened 6 days ago by
carsun00

Something wrong about the test results of VSP.

#2 opened 6 days ago by
carsun00
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