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
Upload sc_style (1).ckpt
Browse files- sc_style (1).ckpt +3 -0
sc_style (1).ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2df959e1f21744ad635a0cc170c329457a966a5ebd5638702e9781fcc85d0452
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size 2132858331
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