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
- Draw Things
- DiffusionBee

- Xet hash:
- 4202544b572519b13ef91e10940d8f1537d54950151f2ab7044372c2ecd429b7
- Size of remote file:
- 1.49 MB
- SHA256:
- d2f7bfddbac7c270aff8aaa3b42655f27a90ad9dea95e6bd75056d5dc752a960
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