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
- Xet hash:
- 46c48019be459fdaa831adeee4cfbb722a2512ab4eec8744c4ef87ac1b0fb18b
- Size of remote file:
- 20.3 MB
- SHA256:
- 83f11928cbffbaaa7591d738a4ccb828f74173aa8f109106e04853c690335590
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