Instructions to use thedeoxen/MOSS-Image-segmentation-controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thedeoxen/MOSS-Image-segmentation-controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("thedeoxen/MOSS-Image-segmentation-controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "OpenMOSS-Team/MOSS-Image-SFT", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Add example strips
Browse files
README.md
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## Examples
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## Extended description
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### Example prompt
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```
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## What it does
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## Examples
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Each preview is one combined image, left to right: **control**, then three prompts.
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## Extended description
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### Example prompt
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```
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Full-body photograph of a circus ringmaster in scarlet tails, gold braid and a tall black hat, standing three-quarter view in front of a painted circus tent. One arm raised high, the other holding a slender black cane down at the side. Confetti, saturated color, entire body in frame.
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## What it does
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