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:
- 7be295f8da8cb70db26d0575ad1e84e93033b0bca6c55ea8df15aaf94e5159cc
- Size of remote file:
- 1.45 GB
- SHA256:
- 2037c5984bb5ff33e6f6935a0fc1ca66710e3f1d7633fbb71f07a02a52ef9271
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