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Remade-AI
/
Super-Saiyan

Image-to-Video
Diffusers
English
text-to-image
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community
1

Instructions to use Remade-AI/Super-Saiyan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Remade-AI/Super-Saiyan 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/Wan2.1-I2V-14B-480P,Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Remade-AI/Super-Saiyan")
    
    prompt = "A man with short hair and a beard clenches his fists, staring forward. His hair brightens to glowing yellow, spiking up as gold energy surges around his body. The background pulses with yellow light, and sparks crackle in the air during his 5up3r super saiyan transformation, real life style."
    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")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
Super-Saiyan / workflow
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Remade
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  • wan_img2vid_lora_workflow.json
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  • workflow_screenshot.png
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    xet
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