Instructions to use birdaz/sc-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use birdaz/sc-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("birdaz/sc-style", 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 sc_style.ckpt from birdaz/sc-style: direct link, hf CLI and curl.
- Browser
- Download file 2.13 GB
-
https://huggingface.co/birdaz/sc-style/resolve/main/sc_style.ckpt
- Command line
-
hf download hf://birdaz/sc-style/sc_style.ckpt
-
curl -L -o sc_style.ckpt https://huggingface.co/birdaz/sc-style/resolve/main/sc_style.ckpt
2.13 GB
- Xet hash:
- a2a6e4ce0c0da969a9e838e04713667c6a7b15c80e3d6cd926b48d16e2e9f8bb
- Size of remote file:
- 2.13 GB
- SHA256:
- 56493896cc03d10a9c0c7dac7360fa3364d66c1c03b1527bf8c50ad65abf9135
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