Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Amitz244/output_dir_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Amitz244/output_dir_controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Amitz244/output_dir_controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 866ee0c29521dbbc58e71ff9cde8a1455f3469dd57a496ab629a03892c22f93f
- Size of remote file:
- 14.4 kB
- SHA256:
- 8d8798085083f6870930e7e09e5bbfab72502028a22c7d0195d619cf4f86436b
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