Instructions to use shawt100/shawtsanders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shawt100/shawtsanders with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shawt100/shawtsanders", 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:
- 0df4b4ace113f2518108f15c35d8dbee0f2dd3d4dc00c2f7d21b351522e41043
- Size of remote file:
- 246 MB
- SHA256:
- 0d8bbe3f3a7a572f8b66586731ef3ad272e8290fd5070e89c21afa1d70e9869e
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