Instructions to use xiaolxl/Stable-diffusion-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xiaolxl/Stable-diffusion-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xiaolxl/Stable-diffusion-models", 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
- Draw Things
- DiffusionBee
- Xet hash:
- ca27a79cb8fc0fa691794ff7547205884f01e19c3492fbc9ded71a9ac7f47c8d
- Size of remote file:
- 4.27 GB
- SHA256:
- 9c1beee6de60c6901476cee2f6c24b729181062581df2092c39c139d58799486
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