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:
- e87fc7dd88426f71bc5b54b1e2a798da51e2be1f31cab66089a67bb05074e26d
- Size of remote file:
- 1 kB
- SHA256:
- 2ed9eb692b0e212f6db4d449a3a9bd312c2588ba5f1af5d638326dbf3a8fa1f2
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