Instructions to use smthem/ltx-2-19b-dev-diffusers-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smthem/ltx-2-19b-dev-diffusers-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("smthem/ltx-2-19b-dev-diffusers-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 example.png from smthem/ltx-2-19b-dev-diffusers-test: direct link, hf CLI and curl.
- Browser
- Download file 228 kB
-
https://huggingface.co/smthem/ltx-2-19b-dev-diffusers-test/resolve/main/example.png
- Command line
-
hf download hf://smthem/ltx-2-19b-dev-diffusers-test/example.png
-
curl -L -o example.png https://huggingface.co/smthem/ltx-2-19b-dev-diffusers-test/resolve/main/example.png
228 kB

- Xet hash:
- b77ccf87e98559539f90ff904bbba3c3174d81c06dc02b1e22092789cf751f0d
- Size of remote file:
- 228 kB
- SHA256:
- c8a049625256a35ce44933eaea9d9d63fc35e9f124abad4027761ffb7b4a1924
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