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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score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, powerful aura, imposing, anime style, 1 guy, cast in shadow, red glowing eyes, manic smile
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high quality pixel art, a pixel art silhouette of an anime space-themed girl
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in a space-punk steampunk style, lying in her bed by the window of a
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score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, powerful aura, imposing, anime style, 1 guy, cast in shadow, red glowing eyes, manic smile
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high quality pixel art, a pixel art silhouette of an anime space-themed girl
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in a space-punk steampunk style, lying in her bed by the window of a
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