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Lightricks
/
LTX-2.5-Diffusers

Text-to-Video
Diffusers
Safetensors
LTX2Pipeline
image-to-video
video-to-video
image-text-to-video
audio-to-video
text-to-audio
video-to-audio
audio-to-audio
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
ltx-2
ltx-video
ltxv
lightricks
ltx-2.5
Model card Files Files and versions
xet
Community
5

Instructions to use Lightricks/LTX-2.5-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Lightricks/LTX-2.5-Diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.5-Diffusers", 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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add Prompt Enhancer and Processor

4
#13 opened about 18 hours ago by
dg845

Diffusion decoder weights differ from the standalone LTX-2.5 VAE

#12 opened 1 day ago by
mglyn
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