Instructions to use dataautogpt3/ProteusV0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusV0.2 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/ProteusV0.2", 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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shallow depth of field, vignette, highly detailed, high budget, bokeh,
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cinemascope, moody, epic, gorgeous, film grain, grainy
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output:
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url:
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in the style of artgerm, comic style,3D model, mythical seascape, negative
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space, space quixotic dreams, temporal hallucination, psychedelic,
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shallow depth of field, vignette, highly detailed, high budget, bokeh,
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cinemascope, moody, epic, gorgeous, film grain, grainy
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output:
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url: upscaled_image.png
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in the style of artgerm, comic style,3D model, mythical seascape, negative
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space, space quixotic dreams, temporal hallucination, psychedelic,
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