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AlekseyCalvin
/
HSToricColorT2VWan1.3B_v2_rank128LoRA_bySilverAgePoets

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/HSToricColorT2VWan1.3B_v2_rank128LoRA_bySilverAgePoets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AlekseyCalvin/HSToricColorT2VWan1.3B_v2_rank128LoRA_bySilverAgePoets 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/HSToricColorT2VWan1.3B_v2_rank128LoRA_bySilverAgePoets")
    
    prompt = "HST style analog autochrome film clip, close up"
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
HSToricColorT2VWan1.3B_v2_rank128LoRA_bySilverAgePoets
1.55 kB
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  • 1 contributor
History: 1 commit
AlekseyCalvin's picture
AlekseyCalvin
initial commit
bd23c12 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    31 Bytes
    initial commit about 1 year ago