Instructions to use dataautogpt3/ProteusV0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusV0.3 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", dtype=torch.bfloat16, device_map="cuda") prompt = "Anime full body portrait of a swordsman holding his weapon in front of him. He is facing the camera with a fierce look on his face. Anime key visual (best quality, HD, ~+~aesthetic~+~:1.2)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 1a512dd6fe9f9afde855f20e82336e1b3a48740739f87ab875a96b311cbd40a0
- Size of remote file:
- 5.05 MB
- SHA256:
- 140fe53549454021c193759e507008f68ae203d9c1f68163b83bb46ebe6da72f
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