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obsxrver
/
wan2.2-i2v-scat

Image-to-Video
Diffusers
Not-For-All-Audiences
wan-2.2
lora
template:sd-lora
Model card Files Files and versions
xet
Community
6

Instructions to use obsxrver/wan2.2-i2v-scat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use obsxrver/wan2.2-i2v-scat 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("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("obsxrver/wan2.2-i2v-scat")
    
    prompt = "A man with short gray hair plays a red electric guitar."
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")
    
    image = pipe(image=input_image, prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
wan2.2-i2v-scat / training_analysis
1.05 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
no@email.com
initial commit
bb69bcf 6 months ago
  • high_noise_loss.csv
    129 kB
    initial commit 6 months ago
  • low_noise_loss.csv
    129 kB
    initial commit 6 months ago
  • training_loss_plot.png
    793 kB
    xet
    initial commit 6 months ago
  • training_summary.txt
    367 Bytes
    initial commit 6 months ago