Instructions to use alimama-creative/SD3-Controlnet-Inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alimama-creative/SD3-Controlnet-Inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alimama-creative/SD3-Controlnet-Inpainting", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" 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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@@ -14,11 +14,11 @@ Finetuned controlnet inpainting model based on sd3-medium.
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The inpainting model offers several advantages:
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<center><i>a woman wearing a white jacket, black hat and black pants is standing in a field, the hat writes SD3</i></center>
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<center><i>a person wearing a white shoe, carrying a white bucket with text "alibaba" on it</i></center>
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The inpainting model offers several advantages:
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