Instructions to use dapangwoshi/LTX-2.3-Multiple-Subject-Reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dapangwoshi/LTX-2.3-Multiple-Subject-Reference with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dapangwoshi/LTX-2.3-Multiple-Subject-Reference", 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
Download validition_v1/05/video.mp4 from dapangwoshi/LTX-2.3-Multiple-Subject-Reference: direct link, hf CLI and curl.
- Browser
- Download file 4.8 MB
-
https://huggingface.co/dapangwoshi/LTX-2.3-Multiple-Subject-Reference/resolve/main/validition_v1/05/video.mp4
- Command line
-
hf download hf://dapangwoshi/LTX-2.3-Multiple-Subject-Reference/validition_v1/05/video.mp4
-
curl -L -o video.mp4 https://huggingface.co/dapangwoshi/LTX-2.3-Multiple-Subject-Reference/resolve/main/validition_v1/05/video.mp4
4.8 MB
- Xet hash:
- 4da7b4ecbf62e1774af3a6efacbb49eccce3326d205b8f414a4a10c366405072
- Size of remote file:
- 4.8 MB
- SHA256:
- d0dd64ec7787d7a9dd30610e706ca1edf3efb4a5d443aca94afae8313de3e015
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