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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 56d4f45c8e7189716a63d8a54505e59610403e02eab6400de00a5d3cad53faed
- Size of remote file:
- 2.13 GB
- SHA256:
- 18bcc837a24ddee9001eeab870be36c9b5d4d5c050a5d2fb516287ac7c05c2fe
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