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codemichaeld
/
wan2.1_2x_fp8_l02

Diffusers
Safetensors
fp8
precision-recovery
diffusion
converted-by-gradio
Model card Files Files and versions
xet
Community

Instructions to use codemichaeld/wan2.1_2x_fp8_l02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use codemichaeld/wan2.1_2x_fp8_l02 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("codemichaeld/wan2.1_2x_fp8_l02", 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
wan2.1_2x_fp8_l02
130 MB
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  • 1 contributor
History: 17 commits
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codemichaeld
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  • .gitattributes
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    initial commit 6 months ago
  • README.md
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  • Wan2.1_VAE_upscale2x_imageonly_real_v1-correction-vae.safetensors
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    xet
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  • Wan2.1_VAE_upscale2x_imageonly_real_v1-fp8-e5m2.safetensors
    127 MB
    xet
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  • Wan2.1_VAE_upscale2x_imageonly_real_v1-lora-r128-vae.safetensors
    844 kB
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  • Wan2.1_VAE_upscale2x_imageonly_real_v1-lora-r64-vae.safetensors
    2.54 MB
    xet
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