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Cseti
/
Wan-LoRA-Arcane-Jinx-v2

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

Instructions to use Cseti/Wan-LoRA-Arcane-Jinx-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Cseti/Wan-LoRA-Arcane-Jinx-v2 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("Cseti/Wan-LoRA-Arcane-Jinx-v2")
    
    prompt = "csetiarcane. Nfj1nx lounges on a hammock strung between two trees, her long blue hair spilling around her like a waterfall. She’s dressed in a simple, comfy summer dress, her bare feet propped up against the hammock’s edge. She looks at the camera with a sweet, relaxed smile, one hand resting behind her head as the other holds a cold drink with a small umbrella. The surrounding garden is lush with greenery, and the light creates a warm, inviting glow around her, enhancing the casual and carefree atmosphere"
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
Wan-LoRA-Arcane-Jinx-v2
353 MB
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  • 1 contributor
History: 13 commits
Cseti's picture
Cseti
Add support section
e32e6c5 verified about 1 month ago
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  • 534478-csetiarcane-Nfj1nx-e86.safetensors
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  • README.md
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