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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@@ -123,8 +123,8 @@ negative_prompt = "nsfw, bad quality, bad anatomy, worst quality, low quality, l
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image = pipe(
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prompt,
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negative_prompt=negative_prompt,
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width=
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height=
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guidance_scale=7,
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num_inference_steps=20
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).images[0]
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image = pipe(
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prompt,
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negative_prompt=negative_prompt,
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width=1024,
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height=1024,
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guidance_scale=7,
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num_inference_steps=20
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).images[0]
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