Instructions to use recoilme/sdxs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use recoilme/sdxs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("recoilme/sdxs", 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 tokenizer/tokenizer.json from recoilme/sdxs: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/recoilme/sdxs/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://recoilme/sdxs/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/recoilme/sdxs/resolve/main/tokenizer/tokenizer.json
20 MB
- Xet hash:
- 458bcbf483ed805b4297af928f717e64bd00c633a07be5fae5717cacbd48e2ef
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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