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", 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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purgatory zdzislaw Beksinski, abyss inferno, lost, wanderer
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output:
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url: ComfyUI_03483_.png
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---
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<Gallery />
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## ProteusV0.2
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num_inference_steps=20
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).images[0]
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```
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You are free to:
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Share — copy and redistribute the material in any medium or format for personal use only. Commercial use is not permitted without direct consultation from the author.
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Adapt — remix, transform, and build upon the material for personal use only. Commercial use is not permitted without direct consultation from the author.
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The licensor cannot revoke these freedoms as long as you follow the license terms.
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Under the following terms:
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Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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please support the work I do through donating to me on:
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https://www.buymeacoffee.com/DataVoid
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purgatory zdzislaw Beksinski, abyss inferno, lost, wanderer
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output:
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url: ComfyUI_03483_.png
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license: openrail
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---
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<Gallery />
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## ProteusV0.2
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num_inference_steps=20
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).images[0]
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```
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please support the work I do through donating to me on:
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https://www.buymeacoffee.com/DataVoid
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