Image-Text-to-Video
Diffusers
image-to-video
text-to-video
video-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-2-3
ltx-video
ltxv
lightricks
Instructions to use rzgar/LTX-2.3-Cinematic-VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rzgar/LTX-2.3-Cinematic-VAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rzgar/LTX-2.3-Cinematic-VAE", 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
- Xet hash:
- 2f84cecdff71c49887d8fbed323c58c22247ed677badb162b1a9229de8211109
- Size of remote file:
- 3.32 MB
- SHA256:
- b11e73831098ba499eea361ca9e713fb8be95d41be157552c671e42673aad7d4
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