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 Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from dataautogpt3/ProteusV0.3: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/dataautogpt3/ProteusV0.3/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://dataautogpt3/ProteusV0.3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dataautogpt3/ProteusV0.3/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 2b6044dcfabeb2037831530fb87c3e537f4a3014f6d227fa27fb7dd625527100
- Size of remote file:
- 492 MB
- SHA256:
- 4b043af8cdd3413f3df486ad27532352cbcc4d2d61516e36c3525395e5528681
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