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PrunaAI
/
PrunaVAED

Text-to-Video
Diffusers
Safetensors
video
vae
decoder
ltx
ltx-2.3
pruned
image-to-video
Model card Files Files and versions
xet
Community
1

Instructions to use PrunaAI/PrunaVAED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use PrunaAI/PrunaVAED with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("PrunaAI/PrunaVAED", torch_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
PrunaVAED
1.37 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 26 commits
mehdiPrunaAI's picture
mehdiPrunaAI
Update README.md
9626294 verified about 6 hours ago
  • demo
    Refining demo 1 day ago
  • example
    Upload prompts.json 5 days ago
  • vae
    Update vae/config.json about 10 hours ago
  • .gitattributes
    4.73 kB
    Upload 20 files 5 days ago
  • README.md
    16.9 kB
    Update README.md about 6 hours ago
  • patch_diffusers.py
    8.8 kB
    Duplicate from mehdiPrunaAI/LTX2_3_PrunedDecoder 7 days ago
  • requirements-demo.txt
    372 Bytes
    Rename requirements-test.txt to requirements-demo.txt about 11 hours ago