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martinmilani/replicate-jagilley-controlnet-hough

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Getting Started with Pimp my Room

First, install dependencies:

npm install
# or
yarn install
# or
pnpm install

Second, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev

Open http://localhost:3000 with your browser to see the result.

Remember to get your own Replicate API key!!! and your Cloudinary cloud name

Model jagilley/controlnet-hough

Usage

Input an image, and prompt the model to generate an image as you would for Stable Diffusion. You can change the M-LSD thresholds to control the effect on the output image.

Model description

This model is ControlNet adapting Stable Diffusion to use M-LSD detected edges in an input image in addition to a text input to generate an output image. The training data is generated using a learning-based deep Hough transform to detect straight lines from Places2 and then use BLIP to generate captions

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