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 (1).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%20(1).ckpt
- Command line
-
hf download 'hf://birdaz/sc-style/sc_style (1).ckpt'
-
curl -L -o 'sc_style (1).ckpt' 'https://huggingface.co/birdaz/sc-style/resolve/main/sc_style%20(1).ckpt'
2.13 GB
- Xet hash:
- 2a65009b761df90d38bfb1a394cf8e1d02c9107a7bf7009a4443ddbd4a5891db
- Size of remote file:
- 2.13 GB
- SHA256:
- 2df959e1f21744ad635a0cc170c329457a966a5ebd5638702e9781fcc85d0452
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.