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 checkpoint-big_gradient_control-6216/optimizer.bin from Amitz244/output_dir_controlnet: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/Amitz244/output_dir_controlnet/resolve/main/checkpoint-big_gradient_control-6216/optimizer.bin
- Command line
-
hf download hf://Amitz244/output_dir_controlnet/checkpoint-big_gradient_control-6216/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Amitz244/output_dir_controlnet/resolve/main/checkpoint-big_gradient_control-6216/optimizer.bin
2.91 GB
- Xet hash:
- 2d8590d959748dcb35a9cddb3e8e51aee5ad1c1e1990c5afa6d43b4479718f2f
- Size of remote file:
- 2.91 GB
- SHA256:
- 38acc9e9e0c5cb219cb299760d786b4730b75c43fe71e78ce3d61164670ed7e3
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