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:
- b8763809ee2e6ed30b8e97e94fa9e958489552a3e74658a57f2e6ff39bad52ea
- Size of remote file:
- 823 MB
- SHA256:
- f921fb3f29891d2a77a6571e56b8b5052420d2884129517a333c60b1b4816cdf
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