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 Settings
- Draw Things
- DiffusionBee
Upload hair_9B.safetensors
Browse files- hair_9B.safetensors +3 -0
hair_9B.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:640107a963d49f941e25800a13573efcd8eddbea0b13ab21e8fd72a044b83787
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size 82866696
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