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:
- 9353eacdb0b0c71cddde92862fa46983961f305bfc6feca422a2d9fedf135c4e
- Size of remote file:
- 4.94 GB
- SHA256:
- 8f0c73535077cdd40c44dc4a17a84c4cd110fa2ca692211737360adb7d169008
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