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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README.md
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@@ -77,9 +77,9 @@ Use these settings for the best results with ProteusV0.1:
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CFG Scale: Use a CFG scale of 8 to 7
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Steps: 20 to
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Sampler: DPM
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Scheduler: Karras
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CFG Scale: Use a CFG scale of 8 to 7
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Steps: 20 to 40 steps for more detail, 20 steps for faster results.
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Sampler: DPM++ 3M SDE
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Scheduler: Karras
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