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 Settings
- Draw Things
- DiffusionBee
Download images_4.png from Amitz244/output_dir_controlnet: direct link, hf CLI and curl.
- Browser
- Download file 1.74 MB
-
https://huggingface.co/Amitz244/output_dir_controlnet/resolve/main/images_4.png
- Command line
-
hf download hf://Amitz244/output_dir_controlnet/images_4.png
-
curl -L -o images_4.png https://huggingface.co/Amitz244/output_dir_controlnet/resolve/main/images_4.png
1.74 MB

- Xet hash:
- 3dd17135d7072e105ec25b424f82ffd585693e2c312430a459e59491b626ab9c
- Size of remote file:
- 1.74 MB
- SHA256:
- c48aaa64778c613bc188d8ea257781e792197e4b66be719a02a3b8c0e293b7f1
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