Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Lam-Hung/controlnet_depth_interior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lam-Hung/controlnet_depth_interior with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Lam-Hung/controlnet_depth_interior") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 117f3d1cd8943344bf9cd64baf340c587ad01cb5ac3522d977fa2eecb4ef4c96
- Size of remote file:
- 1.45 GB
- SHA256:
- 4fff4791c1d2d8a11b7811861f85a14dc94c029756ae84b9f654c59069e2c881
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