Instructions to use diffusers-internal-dev/ltx-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/ltx-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-internal-dev/ltx-test", 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:
- 71d6104ddd6b3d07d4fdbee5893efd257a0c4ad35858466b509923d6e2f64792
- Size of remote file:
- 3.85 GB
- SHA256:
- 75e214999dbee61d5b8dd3d865dd4927c501f71510ab4efe612db1b50f96b973
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.