Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use SS-max/controlnet_too_simple_SAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SS-max/controlnet_too_simple_SAM with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("SS-max/controlnet_too_simple_SAM") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-800/optimizer.bin from SS-max/controlnet_too_simple_SAM: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/SS-max/controlnet_too_simple_SAM/resolve/main/checkpoint-800/optimizer.bin
- Command line
-
hf download hf://SS-max/controlnet_too_simple_SAM/checkpoint-800/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/SS-max/controlnet_too_simple_SAM/resolve/main/checkpoint-800/optimizer.bin
2.91 GB
- Xet hash:
- f4693e7f32971d1fd6de2f1da3bed219d1489df712ea31efd05d4b0c861dfdb9
- Size of remote file:
- 2.91 GB
- SHA256:
- 2769d085ab4d08e1061da851cdc8b1676a50787b1ca49ef71935baa9035b68e3
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