Instructions to use Alex995647/loras-ltxv-2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alex995647/loras-ltxv-2.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alex995647/loras-ltxv-2.3") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 9073df8d01b44a757f748c6c62aba2efdd30dda18792914df2f23710181178e9
- Size of remote file:
- 17.6 MB
- SHA256:
- 17d7e53cfd2c19df62e8bb7c2e7e4b6e5204005fae4c3c8cbb47a8bc79b1286f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.