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
Update README.md
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README.md
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url: ComfyUI_02698_.png
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- text: 1980s anime portrait of a character glitching. His face is separated from his body by heavy static. His face is deformed by pain. Dream-like, analog horror, glitch, terrifying
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output:
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url:
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- text: Text Logo Proteus (best quality, HD, ~*~aesthetic~*~:1)
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output:
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url: ComfyUI_02778_.png
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pipe = StableDiffusionXLPipeline.from_pretrained(
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"dataautogpt3/ProteusV0.1",
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vae=vae,
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torch_dtype=torch.float16
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use_safetensors=True,
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variant="fp16"
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)
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pipe.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe.to('cuda')
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url: ComfyUI_02698_.png
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- text: 1980s anime portrait of a character glitching. His face is separated from his body by heavy static. His face is deformed by pain. Dream-like, analog horror, glitch, terrifying
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output:
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url: GEH0sZIXAAABVsj.jpeg
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- text: Text Logo Proteus (best quality, HD, ~*~aesthetic~*~:1)
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output:
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url: ComfyUI_02778_.png
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pipe = StableDiffusionXLPipeline.from_pretrained(
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"dataautogpt3/ProteusV0.1",
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vae=vae,
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torch_dtype=torch.float16
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)
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pipe.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe.to('cuda')
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