Instructions to use dataautogpt3/Proteus-RunDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/Proteus-RunDiffusion 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/Proteus-RunDiffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "score_9, Side View of a Roman Warrior pierced By a spear, cinimatic " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download GIlhXbZWgAAAVdi.jpeg from dataautogpt3/Proteus-RunDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 126 kB
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https://huggingface.co/dataautogpt3/Proteus-RunDiffusion/resolve/main/GIlhXbZWgAAAVdi.jpeg
- Command line
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hf download hf://dataautogpt3/Proteus-RunDiffusion/GIlhXbZWgAAAVdi.jpeg
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curl -L -o GIlhXbZWgAAAVdi.jpeg https://huggingface.co/dataautogpt3/Proteus-RunDiffusion/resolve/main/GIlhXbZWgAAAVdi.jpeg
126 kB
