Instructions to use Taimoor-R/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Taimoor-R/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Taimoor-R/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:
- c7ae79b6e85a77b14bba9fa261536e2bb77e30ecd93342f9b2a7e4780dcb90b8
- Size of remote file:
- 1.45 GB
- SHA256:
- f4f3f61eec39724859a931e01d9c50c345d6dc85f872908e46a5abb102863333
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