Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Lam-Hung/controlnet_segment_interior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lam-Hung/controlnet_segment_interior with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Lam-Hung/controlnet_segment_interior") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-4000/optimizer.bin from Lam-Hung/controlnet_segment_interior: direct link, hf CLI and curl.
- Browser
- Download file 725 MB
-
https://huggingface.co/Lam-Hung/controlnet_segment_interior/resolve/main/checkpoint-4000/optimizer.bin
- Command line
-
hf download hf://Lam-Hung/controlnet_segment_interior/checkpoint-4000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Lam-Hung/controlnet_segment_interior/resolve/main/checkpoint-4000/optimizer.bin
725 MB
- Xet hash:
- 7ea0d24ceffd4d80307464728ca52e157ac1b722414b898a54afc2ac22b72302
- Size of remote file:
- 725 MB
- SHA256:
- 25d4c663f160c07d9f602fa5fe55f5a01ca5d909223893a46a4741f9c4227299
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