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rzgar
/
Wan2.2_I2V_LightX2V_2Step

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community
1

Instructions to use rzgar/Wan2.2_I2V_LightX2V_2Step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use rzgar/Wan2.2_I2V_LightX2V_2Step with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", torch_dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("rzgar/Wan2.2_I2V_LightX2V_2Step")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Wan2.2_I2V_LightX2V_2Step
2.49 GB
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  • 1 contributor
History: 10 commits
rzgar's picture
rzgar
Update README.md
f2480fb verified 13 days ago
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  • Wan2.2_I2V_LightX2V_2step_high_noise.safetensors
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  • Wan2.2_I2V_LightX2V_2step_low_noise.safetensors
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