Instructions to use dataautogpt3/ProteusSigma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusSigma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/ProteusSigma", 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:
- 43d3080775d84c3d75adb469c4715d9060b10bc097e6b8d9145557f132ba3ae6
- Size of remote file:
- 1.65 MB
- SHA256:
- 1d120a981ea36db61f38067702318b2464a70a4f33486484f80c7a60edd176b4
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