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:
- 62383c5a6145f7c0b212491ca61cd1bcc503e653dfeb85dffc94190b5bac4683
- Size of remote file:
- 13.4 MB
- SHA256:
- 8603ac0db3a4257a72228e4e79ba87417543ce2065b884d3d45271b3d574b3bf
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