Instructions to use Nextcloud-AI/sdxl-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nextcloud-AI/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("Nextcloud-AI/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:
- 4f6cd7d7d85bf01b97be91a658a2c93b743f83190affc00f8f4aef02f9038cde
- Size of remote file:
- 335 MB
- SHA256:
- 716971093e3428c9156906fcbcc5500abf005317c5f4d3a5bb3fa28c45e1e071
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