Instructions to use naomiKenKorem/LTXV_13B_LoRA_pose_tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use naomiKenKorem/LTXV_13B_LoRA_pose_tmp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("naomiKenKorem/LTXV_13B_LoRA_pose_tmp", 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 samples/sample_2.gif from naomiKenKorem/LTXV_13B_LoRA_pose_tmp: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/naomiKenKorem/LTXV_13B_LoRA_pose_tmp/resolve/main/samples/sample_2.gif
- Command line
-
hf download hf://naomiKenKorem/LTXV_13B_LoRA_pose_tmp/samples/sample_2.gif
-
curl -L -o sample_2.gif https://huggingface.co/naomiKenKorem/LTXV_13B_LoRA_pose_tmp/resolve/main/samples/sample_2.gif
12.2 MB
- Xet hash:
- 7d80965a46f88cf1019812e019e55c270eb075c20fda9fb0665155e20a4891b1
- Size of remote file:
- 12.2 MB
- SHA256:
- 3151c823079f0019fabce63c8913a25627947ffbd86262a15541adafe4e373c4
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