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:
- 78fddf8e6ad2285aab1e71d17892fdcd9b38e6897d3170964d9c93d5e59dff6b
- Size of remote file:
- 1.45 GB
- SHA256:
- d5fe00b1dd95951903d0932b592dc95ca2a5dfbd611bad04e7ef0e4f0c1bc62d
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