Instructions to use dataautogpt3/ProteusV0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusV0.1 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/ProteusV0.1", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed,
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smokey ambiance, perfect hands AND fingers
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output:
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url:
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an anime female general laughing, with a military cap, evil smile,
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sadistic, grim
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and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed,
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smokey ambiance, perfect hands AND fingers
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output:
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url: ComfyUI_02629_.png
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- text: >-
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an anime female general laughing, with a military cap, evil smile,
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sadistic, grim
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