Instructions to use naomiKenKorem/LTXV_13B_LoRA_cakeify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use naomiKenKorem/LTXV_13B_LoRA_cakeify 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_cakeify", 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:
- 105576c895a0cf5bfe6f99d5dbef0f8b3010238cbe68715e4954a9429e03f8ef
- Size of remote file:
- 6.42 MB
- SHA256:
- 9383258df4c615fcf7667e45ec8779bdd87e461ae0b2501354af4281cc31bba1
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