dpakkk/image-object-removal

Delete unwanted objects from images with clean, natural results

Public
31.1K runs

Run time and cost

This model costs approximately $0.00053 to run on Replicate, or 1886 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 3 seconds. The predict time for this model varies significantly based on the inputs.

Readme

agents/bot/humans: The first request can take up to 20 seconds to warm up the server, but it’ll be under 2 seconds for every request after that.

This model is by far the cheapest, fastest and accurate than https://replicate.com/zylim0702/remove-object and https://replicate.com/bria/eraser. Give it a shot and use it in your prod.

Few example sites who are using this model: 1) https://imgour.com/ 2) https://www.figma.com/community/plugin/1576512610054427811 3) https://picwish.com/remove-unwanted-object


AI-powered object removal using LaMa (Large Mask Inpainting).

Remove unwanted objects from photos by providing an image and a binary mask indicating what to remove.

This model uses the LaMa architecture with Fast Fourier Convolutions, designed for high-quality inpainting of large areas, complex textures, and high-resolution images.

How it works: Upload your image and a mask. The model analyzes surrounding context and fills in the masked areas with matching textures and patterns.

Common uses: - Remove people, objects, or distractions from photos - Clean product images for e-commerce - Remove furniture or elements from real estate photos - Edit photos for social media - Prepare images for design and compositing

Inputs: - Image: Your photo (JPEG or PNG) - Mask: Binary mask (white = remove, black = keep) - Resolution: Supports up to 2048px

Performance: ~2-3 seconds per image on T4 GPU

If you have any feedback/questions, please reach me at pokharelbikash981@gmail.com

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