Instructions to use unsloth/sdxl-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use unsloth/sdxl-turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("unsloth/sdxl-turbo", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7b54444b6945111960c2172fe47d2eb27fe87da9275759864dab73f61d20b3b1
- Size of remote file:
- 137 MB
- SHA256:
- 6be23fdf564e179787f66056a0fa94d489a1d88528d48d1bbef875166d1bd0bb
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