Instructions to use Sgiuowa/7a3c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sgiuowa/7a3c with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sgiuowa/7a3c", 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
- Xet hash:
- 77533b42de8b00952fcb225d3a4ba9e6099ddddb88c3e95f025f41bd7a3476b5
- Size of remote file:
- 335 MB
- SHA256:
- bcaebe70fc30909c75945968f2836a3087fb82b0913278a971ff5f154b8539a3
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