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:
- 7366e655bf763788af450e5533c7c5309ca73fdcb4962c81f7429c6561d4bbe1
- Size of remote file:
- 2.91 GB
- SHA256:
- 641b7330c769bb3e3800b16d4f2cfdb0eb1f6c8607b2b388b6958b302cb78342
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