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BestWishYsh
/
Helios-Base

Text-to-Video
Diffusers
Safetensors
English
HeliosPipeline
Model card Files Files and versions
xet
Community
3

Instructions to use BestWishYsh/Helios-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use BestWishYsh/Helios-Base with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("BestWishYsh/Helios-Base", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
Helios-Base
138 GB
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  • 1 contributor
History: 34 commits
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BestWishYsh
Update README.md
21cf91d verified about 1 month ago
  • guider
    add modular (#3) about 2 months ago
  • scheduler
    Add files using upload-large-folder tool 2 months ago
  • text_encoder
    Update text_encoder/config.json about 2 months ago
  • tokenizer
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  • transformer
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  • transformer_init
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  • vae
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  • .gitattributes
    2.17 kB
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  • README.md
    32.7 kB
    Update README.md about 1 month ago
  • model_index.json
    398 Bytes
    Add files using upload-large-folder tool 2 months ago
  • modular_model_index.json
    1.69 kB
    add modular (#3) about 2 months ago