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
- Draw Things
- DiffusionBee
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url: man.png
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stern expression, giving the impression of a wise and experienced
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individual. The mans beard and mustache are prominent, adding to his
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Super Closeup Portrait, action shot, Profoundly dark whitish meadow, glass
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flowers, Stains, space grunge style, Jeanne d'Arc wearing White Olive green
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score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, dragon, massive crashing through the dunes
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Super Closeup Portrait, action shot, Profoundly dark whitish meadow, glass
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flowers, Stains, space grunge style, Jeanne d'Arc wearing White Olive green
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