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
Download transformer/diffusion_pytorch_model.safetensors from diffusers-internal-dev/ltx-test: direct link, hf CLI and curl.
- Browser
- Download file 3.85 GB
-
https://huggingface.co/diffusers-internal-dev/ltx-test/resolve/main/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://diffusers-internal-dev/ltx-test/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/diffusers-internal-dev/ltx-test/resolve/main/transformer/diffusion_pytorch_model.safetensors
3.85 GB
- Xet hash:
- 71d6104ddd6b3d07d4fdbee5893efd257a0c4ad35858466b509923d6e2f64792
- Size of remote file:
- 3.85 GB
- SHA256:
- 75e214999dbee61d5b8dd3d865dd4927c501f71510ab4efe612db1b50f96b973
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