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:
- b5d6187d93f6f07afd8a46c2d9aceaf95b271641c9c4493bdd7a47802e4c2e96
- Size of remote file:
- 2.89 GB
- SHA256:
- a5bb6458c7cf243a59ba65ab9d2f9735dfe202ba7671277cf17f7a6c011d4759
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