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
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README.md
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url: manic.png
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in a space-punk steampunk style, lying in her bed by the window of a
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spaceship, smoking, with a rustic feel. The image should embody epic
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portraiture and double exposure, featuring an isolated landscape visible
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through the window. The colors should primarily be dynamic and
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action-packed, with a strong use of negative space. The entire artwork
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should be in pixel art style, emphasizing the characters shape and set
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against a white background. Silhouette
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url:
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The image features an older man, a long white beard and mustache, He has a
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stern expression, giving the impression of a wise and experienced
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url: manic.png
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score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, monochrome, suit, smug, smirking, evil, man, energy powerful
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url: man.png
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The image features an older man, a long white beard and mustache, He has a
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stern expression, giving the impression of a wise and experienced
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