Instructions to use dg845/LTX-2.3-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/LTX-2.3-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dg845/LTX-2.3-Diffusers", 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:
- 71898df54f61a373d913d9bc0aa8124b98c5b879c89c32f98f6cd7cdec9c2aff
- Size of remote file:
- 4.99 GB
- SHA256:
- fd60f01d4234cc4016c8b55cdcfc570ed9155f2b69e9ececde563db70e7df16f
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