Instructions to use johnfeng0220/tiny-random-ltx-video-0.9.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johnfeng0220/tiny-random-ltx-video-0.9.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("johnfeng0220/tiny-random-ltx-video-0.9.5", 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
Commit History
23 days ago
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Add tiny random LTX Video 0.9.5 model (#1)
- Add tiny random LTX Video 0.9.5 model (e90d15d8b0817496132f349f9fbf3805481a2774)35f4684