Back to Compare

ControlNet vs removal.ai

A side-by-side comparison of pricing, ratings, features, pros and cons.

ControlNet
ControlNetlllyasvielFree
removal.ai
removal.airemoval.aiFreemium
DescriptionNeural network add-on for Stable Diffusion that lets users guide image generation with structural references — poses, edge maps, depth maps — instead of text alone.Automated AI background remover with replacement, batch processing, and API access.
Category
Developerlllyasvielremoval.ai
Verified StatusNo
Last UpdatedAug 2026Aug 2026
Pricing ModelFreeFreemium
Free PlanYesNo
Free TrialNo
Open SourceNoNo
API AccessNo
Features
Structural conditioning beyond text prompts (pose, edges, depth, segmentation, line art)
Pose-skeleton control via models like OpenPose for consistent character poses
Canny edge and line-art conditioning for sketch-to-image workflows
Depth map and segmentation mask support for spatial/layout control
Open-source, built directly on the Stable Diffusion ecosystem
Automated, free background removal
Background replacement with colors or images
Built-in online photo editor
Batch processing of 1,000+ images per upload
API integration for developers
Professional human editing service with 24-hour turnaround
Tags
controlnetneuralnetworkstructurecontroldiffusion
background-removalphoto-editingbatch-processingapiai-image-tool
Platforms
API
Mobile AppsNo
Review Count00
Saves00
Views564
Quality Score45/10041/100
Website StatusOnlineOnline
Websitegithub.comremoval.ai
Social Links2 linked2 linked
ScreenshotsNoNo
Pros
Free to use
Free to use

Who Should Choose Each Tool?

Choose ControlNet if:

  • Free to use

Choose removal.ai if:

  • Free to use

Frequently Asked Questions

Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.

You can compare up to 4 tools — use "Add Tool" in the table above.

Disclosure: AlverHub may earn a commission if you sign up for a tool through a link on this page, at no additional cost to you. This never affects which tools we list or how we describe them — our recommendations are based on real, documented data and our published scoring methodology.