Instructions to use Compumacy/sdxlturbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Compumacy/sdxlturbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Compumacy/sdxlturbo", 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:
- 39e17a2016a19a473c8e374646b9e7f117bcaf8c704d43581d8aca8146cd76e1
- Size of remote file:
- 137 MB
- SHA256:
- 6be23fdf564e179787f66056a0fa94d489a1d88528d48d1bbef875166d1bd0bb
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