Instructions to use superdiff/superdiff-sdxl-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use superdiff/superdiff-sdxl-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("superdiff/superdiff-sdxl-v1-0", 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 sdxl_higlights.jpg from superdiff/superdiff-sdxl-v1-0: direct link, hf CLI and curl.
- Browser
- Download file 1.92 MB
-
https://huggingface.co/superdiff/superdiff-sdxl-v1-0/resolve/main/sdxl_higlights.jpg
- Command line
-
hf download hf://superdiff/superdiff-sdxl-v1-0/sdxl_higlights.jpg
-
curl -L -o sdxl_higlights.jpg https://huggingface.co/superdiff/superdiff-sdxl-v1-0/resolve/main/sdxl_higlights.jpg
1.92 MB

- Xet hash:
- 6d94647960b7273b554d28b7c872f4268a35e042a1a8c8a33b66a1b5da462154
- Size of remote file:
- 1.92 MB
- SHA256:
- eb054aadf1885b86da885e2fdb3ae53e3cdf770bc1698d8ff0963da8a57464da
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