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siliconflow
/
stable-video-diffusion-img2vid-xt-int8

Diffusers
Safetensors
StableVideoDiffusionPipeline
Model card Files Files and versions
xet
Community
3

Instructions to use siliconflow/stable-video-diffusion-img2vid-xt-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use siliconflow/stable-video-diffusion-img2vid-xt-int8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("siliconflow/stable-video-diffusion-img2vid-xt-int8", 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
stable-video-diffusion-img2vid-xt-int8
3.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
clackhan's picture
clackhan
update_weight
37b3b39 over 2 years ago
  • feature_extractor
    update_svd_int8 over 2 years ago
  • image_encoder
    update_weight over 2 years ago
  • scheduler
    update_weight over 2 years ago
  • unet
    update_weight over 2 years ago
  • vae
    update_weight over 2 years ago
  • .gitattributes
    1.56 kB
    update_weight over 2 years ago
  • calibrate_info.txt
    12.3 MB
    xet
    update_weight over 2 years ago
  • model_index.json
    520 Bytes
    update_weight over 2 years ago