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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README.md
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pipeline_tag: text-to-image
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widget:
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fluffy ears, piercing gaze, full moon, dark ambiance, best quality,
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extremely detailed
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output:
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url:
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(impressionistic realism by csybgh), a 50 something male, working in
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banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry,
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pipeline_tag: text-to-image
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score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, Goku
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output:
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url: Goku.png
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- text: >-
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(impressionistic realism by csybgh), a 50 something male, working in
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banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry,
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