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:
- 2b6044dcfabeb2037831530fb87c3e537f4a3014f6d227fa27fb7dd625527100
- Size of remote file:
- 492 MB
- SHA256:
- 4b043af8cdd3413f3df486ad27532352cbcc4d2d61516e36c3525395e5528681
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