Instructions to use NO8D/ImagingControl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/ImagingControl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NO8D/ImagingControl", dtype=torch.bfloat16, device_map="cuda") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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### weight: the higher the value, the stronger the fat; the lower the value, the stronger the thin
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[age :
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### Control colorful by adjusting weights
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### Control hair by adjusting weights
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[height:
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### Control the number of people by adjusting weights
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### weight: the higher the value, the stronger the fat; the lower the value, the stronger the thin
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[age : upporters only](https://www.patreon.com/posts/slider-toolkit-152611054?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link)
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### Control colorful by adjusting weights
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### Control hair by adjusting weights
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[height:supporters only](https://www.patreon.com/posts/slider-toolkit-153805111?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link)
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### Control the number of people by adjusting weights
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