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vantagewithai
/
ChronoEdit-fp8-scaled

Image-to-Image
Diffusers
English
Chinese
image editing
video generation
Model card Files Files and versions
xet
Community

Instructions to use vantagewithai/ChronoEdit-fp8-scaled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use vantagewithai/ChronoEdit-fp8-scaled 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("vantagewithai/ChronoEdit-fp8-scaled", 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
ChronoEdit-fp8-scaled
16.4 GB
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  • 1 contributor
History: 5 commits
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vantagewithai
Update README.md
27462fa verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • ChronoEdit_fp8_e4m3fn_scaled_VAI.safetensors
    16.4 GB
    xet
    Upload ChronoEdit_fp8_e4m3fn_scaled_VAI.safetensors 6 months ago
  • README.md
    14.3 kB
    Update README.md 6 months ago
  • Vantage-ChronoEdit-Workflow.json
    36.2 kB
    Upload Vantage-ChronoEdit-Workflow.json 6 months ago