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:
- 9730a6b8eef9e9f9b3e79d65c961c15a0c3578d09cd19d18f664e769a983e321
- Size of remote file:
- 2.91 GB
- SHA256:
- f7bfee117ade12d6f8e3ea8ab031bde401ab9529ae80ce8371225d8c3f5f8462
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