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AlekseyCalvin
/
UkraineWar1.3B_Wan2.1_t2v-LoRA

Text-to-Video
Diffusers
wan
video
diffusion-pipe
lora
template:sd-lora
standard
Model card Files Files and versions
xet
Community

Instructions to use AlekseyCalvin/UkraineWar1.3B_Wan2.1_t2v-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AlekseyCalvin/UkraineWar1.3B_Wan2.1_t2v-LoRA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("AlekseyCalvin/UkraineWar1.3B_Wan2.1_t2v-LoRA")
    
    prompt = "UKR footage clip..."
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
UkraineWar1.3B_Wan2.1_t2v-LoRA
190 MB
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  • 1 contributor
History: 10 commits
AlekseyCalvin's picture
AlekseyCalvin
Update README.md
f2a1555 verified about 1 year ago
  • .gitattributes
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  • 1var1.mov
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  • 2var1.mov
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  • 3var1.mov
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  • README.md
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  • UkraineWar_1.3B_Wan21_t2v_LoRA.safetensors
    175 MB
    xet
    Rename UKRwan3_000005000.safetensors to UkraineWar_1.3B_Wan21_t2v_LoRA.safetensors about 1 year ago
  • config.yaml
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    Upload config.yaml about 1 year ago