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
Download xhcstyle_8500.ckpt from xiaolxl/Stable-diffusion-models: direct link, hf CLI and curl.
- Browser
- Download file 4.1 GB
-
https://huggingface.co/xiaolxl/Stable-diffusion-models/resolve/main/xhcstyle_8500.ckpt
- Command line
-
hf download hf://xiaolxl/Stable-diffusion-models/xhcstyle_8500.ckpt
-
curl -L -o xhcstyle_8500.ckpt https://huggingface.co/xiaolxl/Stable-diffusion-models/resolve/main/xhcstyle_8500.ckpt
4.1 GB
- Xet hash:
- 9755eb2d5636003b75b16edaaf8450e8243e16f6a1914acf831fb814c63349d6
- Size of remote file:
- 4.1 GB
- SHA256:
- f3261fad0f1b4b952edd073f3e604929e5c48bf4cfcf6bf8e68ecc60805478a9
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