Instructions to use Efficient-Large-Model/LTX-2.3-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Efficient-Large-Model/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("Efficient-Large-Model/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:
- 6b2ae66a63e1286bbe380502a05432e7c7aeb2fd9138c5b89407cd5853a38092
- Size of remote file:
- 6.34 GB
- SHA256:
- e2bf5ca48db13cea180ecff2d8e8e1224fcea8cc04d41721e704c6034f914722
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