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VAST-AI
/
EdenLive

Image-to-Video
Diffusers
Safetensors
EdenLivePipeline
video-generation
diffusion
real-time
Model card Files Files and versions
xet
Community

Instructions to use VAST-AI/EdenLive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use VAST-AI/EdenLive with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image, export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("VAST-AI/EdenLive", dtype=torch.bfloat16, device_map="cuda")
    pipe.to("cuda")
    
    prompt = "A man with short gray hair plays a red electric guitar."
    image = load_image(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
    )
    
    output = pipe(image=image, prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
EdenLive / flux-c2f
34.8 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 2 commits
crispeng's picture
crispeng
Update dit-14b to SGF-v6 step_000400 EMA; align README with the code repository
de40b28 verified 1 day ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • transformer
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  • vae
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  • LICENSE.md
    18.2 kB
    Update dit-14b to SGF-v6 step_000400 EMA; align README with the code repository 1 day ago
  • NOTICE.md
    1.52 kB
    Update dit-14b to SGF-v6 step_000400 EMA; align README with the code repository 1 day ago
  • c2f_lora.safetensors
    111 MB
    xet
    Upload folder using huggingface_hub 5 days ago
  • model_index.json
    422 Bytes
    Upload folder using huggingface_hub 5 days ago