ClickRemoval
ClickRemoval is an open-source, training-free tool for removing objects from images and repairing the background.
What ClickRemoval is
ClickRemoval is an open-source, training-free tool for removing objects from images and repairing the background. Instead of drawing masks or writing prompts, users mark objects with positive clicks and protect areas with negative clicks. It supports Stable Diffusion 1.5, 2.1, SDXL and compatible fine-tuned models. The Gradio interface accepts an uploaded image and clicks, then returns a restored image; command-line inference scripts support batch-style use, and the repository description lists a REST API. The README documents local and Docker installation, and the demo runs at localhost:7860. A shell script downloads supported model weights from author-maintained Hugging Face repositories. For GPU inference, the README recommends an NVIDIA GPU with at least 24GB VRAM, particularly for SDXL at 1024 resolution. Lower-VRAM GPUs may run SD1.5 or SD2.1; SDXL may require Low VRAM mode, which reduces memory use but slows inference. The project is Apache-2.0 licensed, and its repository lists v1.0.0 as a pre-release. Installation and usage instructions and a Jupyter Notebook tutorial are provided.
Good
- Click controls avoid hand-drawn masks and text prompts.
- Supports SD1.5, SD2.1 and SDXL.
- Gradio demo returns restored images.
- Command-line scripts support batch-style use.
- Apache-2.0 licensed.
Watch out
- README recommends an NVIDIA GPU with at least 24GB VRAM for GPU inference.
- Low VRAM mode slows SDXL inference.
- Version 1.0.0 is listed as a pre-release.
Who it suits
ClickRemoval suits people who want click-based object removal and background repair, and who can use its local, Docker, web-demo or command-line options. The listed hardware guidance is particularly relevant to those considering SDXL.
Verdict
ClickRemoval offers several click-driven workflows and model options for image repair. Check the hardware guidance and pre-release status before choosing it for a workflow.
The facts
Each one read from ClickRemoval's own pages, with the date it was checked.
What it does
- API
- The repository description says ClickRemoval has a REST API, though the README's quick-start instructions describe the Gradio demo and command-line scripts.checked 9 Oct 2001
- Audience
- The README presents SD1.5 as a lightweight option for resource-constrained devices and SDXL for higher-quality removal and restoration.checked 9 Oct 2001
- Click controls
- Positive clicks mark objects for removal, while negative clicks protect areas to keep.checked 9 Oct 2001
- Click interaction
- Users can mark objects to remove with positive clicks and protect areas with negative clicks, without masks or prompts.checked 9 Oct 2001
- Command line
- Inference scripts support reproducible testing and batch-style use.checked 9 Oct 2001
- Deployment
- The README documents Docker and local installation, with the Gradio demo opened at localhost:7860.checked 9 Oct 2001
- Diffusion models
- It supports SD1.5, SD2.1, SDXL, and compatible fine-tuned models.checked 9 Oct 2001
- Hardware
- The README recommends an NVIDIA GPU with at least 24GB VRAM for GPU inference, especially for SDXL at 1024 resolution.checked 9 Oct 2001
- Interaction
- The README describes ClickRemoval as training-free and says it removes objects by user clicks without hand-drawn masks or text descriptions.checked 9 Oct 2001
- Interfaces
- The project provides an interactive Gradio web demo and command-line inference scripts for batch-style use.checked 9 Oct 2001
- License
- The repository is distributed under the Apache-2.0 license.checked 9 Oct 2001
- Model downloads
- A shell script downloads SD1.5, SD2.1, SDXL, or all supported model weights from author-maintained Hugging Face repositories.checked 9 Oct 2001
- Models
- It supports Stable Diffusion 1.5, 2.1, and SDXL backbones, along with compatible fine-tuned models.checked 9 Oct 2001
- Purpose
- ClickRemoval is an open-source, training-free tool for click-driven object removal and background repair in images.checked 9 Oct 2001
- Release status
- The repository lists v1.0.0 as a pre-release.checked 9 Oct 2001
- Resource limits
- Lower-VRAM GPUs may run SD1.5 or SD2.1; SDXL may need Low VRAM mode, which reduces memory use but slows inference.checked 9 Oct 2001
- REST API
- The repository description lists a REST API among the tool's functions.checked 9 Oct 2001
- Security
- The README reports that an April 23, 2026 update fixed multiple bugs and vulnerabilities in inference code.checked 9 Oct 2001
- Support
- The project README provides installation and usage instructions and a Jupyter Notebook tutorial; it does not state a support service.checked 9 Oct 2001
- Web interface
- The project provides a Gradio demo that accepts an uploaded image and clicks, then returns a restored image.checked 9 Oct 2001
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