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
- Xet hash:
- 81fdf48c001b1ee1a09ca1e216668e3bab1ebc98a1c8bd9acddd8177d7ab1929
- Size of remote file:
- 38 GB
- SHA256:
- a960b0de6babd0bc3ed67a624de67b4b5469ea6b6063dd3ec8fcd7c539d8b2b6
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