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nvidia
/
ChronoEdit-14B-Diffusers

Other
Diffusers
Safetensors
English
Chinese
WanImageToVideoPipeline
image editing
video generation
Model card Files Files and versions
xet
Community
2

Instructions to use nvidia/ChronoEdit-14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nvidia/ChronoEdit-14B-Diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
ChronoEdit-14B-Diffusers / lora
376 MB
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  • 2 contributors
History: 1 commit
xrenaa's picture
xrenaa
Upload chronoedit_distill_lora.safetensors
6ff06dc verified 8 months ago
  • chronoedit_distill_lora.safetensors
    376 MB
    xet
    Upload chronoedit_distill_lora.safetensors 8 months ago