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ControlNet vs Let's Enhance
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | Neural network add-on for Stable Diffusion that lets users guide image generation with structural references — poses, edge maps, depth maps — instead of text alone. | AI image enhancer that upscales photos up to 512 megapixels while recovering detail and correcting colors. | |
| Category | |||
| Developer | lllyasviel | LetsEnhance, Inc. | |
| Verified Status | No | ||
| Last Updated | Aug 2026 | Aug 2026 | |
| Pricing | |||
| Pricing Model | Free | Freemium | |
| Free Plan | Yes | No | |
| Free Trial | — | No | |
| Open Source | No | No | |
| Capabilities | |||
| API Access | — | No | |
| 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 | • AI upscaling up to 512 megapixels • Sharpening and noise reduction • Old Photo restoration mode • Batch processing up to 20 images • Background removal and video upscaling • API access for business use | |
| Tags | controlnetneuralnetworkstructurecontroldiffusion | image-upscalingphoto-enhancementai-image-editingphoto-restorationbatch-processing | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 56 | 8 | |
| Quality Score | 45/100 | 37/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | github.com | letsenhance.io | |
| Social Links | 2 linked | 3 linked | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use | • Free to use | |
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