Instructions to use zac/Turbo_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zac/Turbo_Lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zac/Turbo_Lora") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- d478e7d299dd2483ce9d3977611ad03988833472b9a5d745477df9d538178eaf
- Size of remote file:
- 550 kB
- SHA256:
- ea7d0fcaa5e0cb14667191891b47388e83e43d83941c71307e0796f7e693cd9c
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