Software Alternatives & Startups

Rembg

Rembg is a tool to remove images background. That is it.

Rembg

Rembg Reviews and Details

This page is designed to help you find out whether Rembg is good and if it is the right choice for you.

Screenshots and images

  • Rembg Landing page
    Landing page //
    2023-09-23

Features & Specs

  1. Open Source

    Rembg is open source, allowing users to access, modify, and distribute the code freely. This promotes community-driven improvements and collaboration.

  2. No Internet Required

    Unlike many cloud-based alternatives, Rembg processes images locally, which means no need for an internet connection and enhanced privacy for sensitive images.

  3. Automated Background Removal

    Rembg automatically removes backgrounds from images using machine learning, which simplifies a traditionally time-consuming task for users.

  4. Customizable

    Users can customize settings and potentially improve or adapt the software for specific needs or projects, thanks to its open-source nature.

  5. Ease of Use

    Rembg offers a straightforward command-line interface, making it relatively easy for users familiar with CLI tools to integrate into their workflows.

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Rembg and what they use it for.
  • My Sidekiq Worker OOM'd Four Times. I Fought It Four Ways Before Buying RAM
    OutfitMaker's strongest activation loop is what I call the closet dump: a new user photographs their whole wardrobe in one sitting and uploads it in a burst. When it fires, it's great β€” the app is now clearing something like 500 items a day. But each uploaded garment kicks off an ImageAnalysisJob, and each of those does something quietly expensive: it shells out to rembg to strip the background, which spawns a... - Source: dev.to / 2 days ago
  • Why Can't Gemini Generate Images with Transparent Backgrounds?
    It's a pretty well known problem in the generative image domain. GPT-image-1 (and gpt-image-1.5) are outliers in their ability to generate images with a proper alpha channel. You can still use other models (Flux, SDXL, NB, etc), you'll just need to request that the image be generated on a solid colored blackground. Then just run it through Rembg [1] or similar background removal tool. [1] -... - Source: Hacker News / 9 months ago
  • Show HN: Fixing Google Nano Banana Pixel Art with Rust
    Yep. Your best bet is to ask for "solid white/black background" and then feed it into something like rembg [1]. It's an extra step but it'll get you partly there. On the OpenAI side, the gpt-image-1 model has actually had the ability to produce true alpha transparent images for a while now. Too bad quality-wise they're lagging pretty badly behind other models. [1] - https://github.com/danielgatis/rembg. - Source: Hacker News / 10 months ago
  • Replacing Only the Background of an Image with AI Generation Using the Stable Diffusion Web API
    Another approach for background removal is to use rembg. This method requires only one API call, making it more cost-effective, though it may result in differences in extraction accuracy. - Source: dev.to / almost 2 years ago
  • πŸš€ Background Removal in Python with PyTorch and Rembg! 🎨🐍
    A bit conflicted as the linked video is also linked from the actual rembg repo but it seems way faster and more detailed to just read the readme at that repo first, and maybe use a video if something doesn’t make sense. Source: almost 3 years ago
  • Lora Training - how to not train background?
    You can use Rembg extension to remove background automatically: https://github.com/danielgatis/rembg. Source: about 3 years ago
  • [Question] where to deploy remove background using u2net ml app ? (ec2, lambda or else?)
    Hi guys πŸ“· I am new to ml deployment. Can anyone help about production deployment ? I made fastapi docker app which removes background from image (https://github.com/danielgatis/rembg). It uses u2net segmentation. I tried aws ec2, lambda, googld cloudrun and so far ec2(t2-large) is the fastest but still too slow. Also, it costs way more than I expected. Are there any other solution that I can deploy ml app with as... Source: about 3 years ago
  • The new Controlnet lineart is great for sprite sheets/2D animations when combined with Canny. The top left was input and the other three were just Controlnet with no inpainting or upscaling.
    A python script with rembg could work. Source: over 3 years ago
  • Useful utilities that will help when trying to make stuff
    4.) rembg -- backgrounds be gone. If there isn't an extension in Automatic1111 for this yet, there should be (I haven't checked recently). Same deal as midas, you can point it at a folder and zap the backgrounds off of all your images. Useful in combo with midas and imagemagick if, for instance, you want images of an object on a white background (Stable Diffusion training via LoRAs/Dreambooth may not benefit, but... Source: over 3 years ago
  • Just a reminder that there is a new 'remove background' extension for a1111
    Model will download automatic or you can get it from here and put into C:\Users\Admin\.u2net. Source: over 3 years ago
  • Show HN: Removebg.dev – Free and open-source image background removal tool
    Hey folks, I've built removebg.dev as a hobby app designed to quickly and easily remove image backgrounds for free. The app is built with the help of: - The rembg (https://github.com/danielgatis/rembg). - Replicate (https://replicate.com/) so a lot of credit goes his way for his tutorials. You can find the source code for the app here - - Source: Hacker News / over 3 years ago
  • How would i go about changing the Background on this image? I have tried a variation and combination of Inpainting, Img2Img and Controlnet and can't for the life of me preserve the head and change the background to something useful
    Is there not a U2net plugin for Automatic1111? Seems like a low hanging fruit to implement, here is a useful tool that can enable what you are trying to do: https://github.com/danielgatis/rembg. Source: over 3 years ago
  • Turntable Photogrammetry with Meshroom
    I used Ultra settings as recommended in an issue thread on the meshroom github page. I also tried masking the images using Rembg . I wrote a script that automates the process for me which masks the images and transfers the metadata over to the masked images - here is a link to the script I wrote if anyone finds use for it. Source: over 3 years ago
  • Ask HN: What's app/tool you would pay someone $1000 to build?
    A fast Windows self-contained native DLL to input the path to a jpeg file and output the jpeg with background removed, like https://github.com/danielgatis/rembg. - Source: Hacker News / over 3 years ago
  • Transparent PNG
    I integrated rembg into my stable diffusion discord bot , now I just reply to any render message with "background" and it near-instantly hands me a transparent png. Doesn't work on everything but when it does its like magic :). Source: almost 4 years ago
  • Exploiting Latent Vectors in Stable Diffusion - Interpolation and parameters tuning
    I removed the background of each image with the rembg library, you can also use photoshop or other editing tool. - Source: dev.to / almost 4 years ago
  • how do i get rembg on pop_os?
    I randomly found a post on reddit about a program that removes background from pictures, it's called "rembg". Here is the link to the github page: https://github.com/danielgatis/rembg. Source: about 4 years ago
  • This Week in Python
    Rembg – a tool to remove images background. - Source: dev.to / over 4 years ago

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Is Rembg good? This is an informative page that will help you find out. Moreover, you can review and discuss Rembg here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.