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 text_encoder/pytorch_model.bin from birdaz/sc-style: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/birdaz/sc-style/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://birdaz/sc-style@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/birdaz/sc-style/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- b0e0ee61f0fa48b409b8534c1bc52da156feed1a711baead2062c21f234e5cdc
- Size of remote file:
- 246 MB
- SHA256:
- aeaf8a5f3dfcc9f92d60d51e6901e142b94f87e71e5b56b3d4734dcceb8c9aca
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