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codemichaeld
/
wan2.1_vae_fp8_l01

Diffusers
Safetensors
fp8
lora
low-rank
diffusion
converted-by-gradio
Model card Files Files and versions
xet
Community

Instructions to use codemichaeld/wan2.1_vae_fp8_l01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use codemichaeld/wan2.1_vae_fp8_l01 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("codemichaeld/wan2.1_vae_fp8_l01")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
wan2.1_vae_fp8_l01
127 MB
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  • 1 contributor
History: 3 commits
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codemichaeld
Upload README.md with huggingface_hub
25821d3 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    1.15 kB
    Upload README.md with huggingface_hub 5 months ago
  • Wan2_1_VAE_bf16-fp8-e5m2.safetensors
    127 MB
    xet
    Upload folder using huggingface_hub 5 months ago