Instructions to use raipranav384/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raipranav384/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("raipranav384/model_out") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d76487d04cb1a20c882e910f8c3318d733b57478a9fc15483dbd3f19ee701fad
- Size of remote file:
- 1.45 GB
- SHA256:
- caa27d5cd13701229863e3ad3799773ab2d6db9274484b6a359b307d38d1ba6b
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