Instructions to use dataautogpt3/ProteusV0.3-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusV0.3-Lightning 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/ProteusV0.3-Lightning", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Anime Girl holding a sign that says 'Proteus Lighting'" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 83c0163cef2c3bd86efde8848c6c387aef172d7cfc098a5e67f6d38ed246e58b
- Size of remote file:
- 1.28 MB
- SHA256:
- 9efb7ca65f57f961e35c622c98f41a6a2f62dc65084e9524e4cc37e450d896df
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