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akshan-main
/
tiny-ltx-modular-pipe

Diffusers
Safetensors
LTXPipeline
testing
ltx
Model card Files Files and versions
xet
Community

Instructions to use akshan-main/tiny-ltx-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use akshan-main/tiny-ltx-modular-pipe with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("akshan-main/tiny-ltx-modular-pipe", 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
tiny-ltx-modular-pipe / text_encoder
4.14 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
akshan-main's picture
akshan-main
Fix text encoder vocab_size to match T5TokenizerFast (32100)
1c5a7ed verified about 2 months ago
  • config.json
    663 Bytes
    Fix text encoder vocab_size to match T5TokenizerFast (32100) about 2 months ago
  • model.safetensors
    4.14 MB
    xet
    Fix text encoder vocab_size to match T5TokenizerFast (32100) about 2 months ago