Instructions to use fal/LTX-2.3-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/LTX-2.3-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/LTX-2.3-FlashPack", 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 vocoder/model.flashpack from fal/LTX-2.3-FlashPack: direct link, hf CLI and curl.
- Browser
- Download file 258 MB
-
https://huggingface.co/fal/LTX-2.3-FlashPack/resolve/main/vocoder/model.flashpack
- Command line
-
hf download hf://fal/LTX-2.3-FlashPack/vocoder/model.flashpack
-
curl -L -o model.flashpack https://huggingface.co/fal/LTX-2.3-FlashPack/resolve/main/vocoder/model.flashpack
258 MB
- Xet hash:
- 1b74c15cb780ebdf727651898bad017709eace017a1602b019597aa90be7abfa
- Size of remote file:
- 258 MB
- SHA256:
- dd2b05c78470e55a8296d487f7355111c61db4ebb3ab9321d7d66bf5d744026a
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