SUPIR
Open-source, text-guided diffusion model that restores and upscales low-quality images in stunning detail.
SUPIR’s text-guided diffusion restoration delivers impressive, creative results that beat pure upscalers like ESRGAN. But it's a DIY project: you either run the open-source model on your own GPU or use the SupPixel AI web app. If you’re a photographer or artist comfortable with local setup, it’s worth it. Non-technical users should start with SupPixel AI. Production teams needing batch or API support should look at Topaz Gigapixel or cloud services instead.
Verified 14d ago · liveness 59/100 · cite: rightaichoice.com/tools/supir
- Photographers restoring old or low-quality images with text-guided creative control
- Digital artists enhancing artwork with diffusion-based detail and prompt-driven stylization
- Archivists digitizing vintage or damaged photos where creative reconstruction helps
- Researchers exploring state-of-the-art diffusion restoration methods
- Users needing batch processing or API support for large volumes
- Beginners seeking one-click install and no technical setup
- Production workflows requiring commercial support or SLAs
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip SUPIR if you need batch processing or API access for high-volume work, or if you're not comfortable with technical setup or using the web app, or if you require commercial support and SLAs.
Running SUPIR locally requires a high-end GPU, so you may need to factor in hardware costs if you don't already own one.
SUPIR is free to use, either via the open-source model or the SupPixel AI web app, making it a cost-effective option for individual creators and researchers. Compared to paid tools like Topaz Gigapixel (one-time license) or cloud upscalers (per-image fees), SUPIR offers zero cost but requires more manual effort and technical skill.
In short
SUPIR — Open-source, text-guided diffusion model that restores and upscales low-quality images in stunning detail. Best for Photographers restoring old or low-quality images with text-guided creative control, Digital artists enhancing artwork with diffusion-based detail and prompt-driven stylization, Archivists digitizing vintage or damaged photos where creative reconstruction helps. Free to use.
What people actually say about SUPIR — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
52 mentions across 5 sources (Hacker News, YouTube, Bluesky, GitHub, Lemmy) · researched Jul 28, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Stunning photo-realism, especially for faces and landscapes.
- +Text-guided prompts allow creative control over restoration style.
- +Open-source model on GitHub enables customization and research.
- +Free online demo at suppixel.ai for easy experimentation.
- +Excels at restoring vintage photos and cinematic frames.
- −Requires 12-24GB VRAM; unworkable on most consumer GPUs.
- −Very slow processing; not suitable for batch jobs.
- −Paper results not reproducible, undermining trust.
- −License conflict between MIT and non-commercial clause.
- −No API or batch processing for production use.
- • High hardware cost: requires expensive GPU with >=12GB VRAM
- • Potential legal risk due to ambiguous non-commercial license
Viability Score
How well maintained and how widely used is SUPIR? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Text-guided prompt control for customized restoration
- Diffusion-based image restoration from low-quality inputs
- High-fidelity upscaling for diverse subjects
- Landscape restoration with texture and color enhancement
- Ultra-resolution face enhancement for lifelike portraits
- Animal image restoration for fur detail
- Architectural image restoration for legacy photos
- Gaming screenshot enhancement for remastered clarity
- Cinematic frame restoration for classic films
- Vintage photo revival for historical images
- Open-source model on GitHub for self-hosting
- Official web app SupPixel AI at suppixel.ai
- General-purpose restoration for broad image types
- Large-scale diffusion generative prior for realism
About SUPIR
SUPIR is an open-source, diffusion-based image restoration and upscaling model from XPixel Group. Unlike traditional upscalers that merely interpolate pixels, SUPIR uses a large-scale generative prior to reconstruct missing details and textures, and it lets you guide that reconstruction with text prompts. The official web app, SupPixel AI, launched in June 2025, provides a no-install way to use the model. SUPIR is especially suited for reviving old photos, enhancing portraits, restoring landscapes, animals, architecture, gaming screenshots, cinematic frames, and vintage images. You can download the model from GitHub and run it locally, or use the web app for convenience. While the web app is free, the project is open-source and self-hostable, giving advanced users full control. However, it lacks batch processing, API access, and commercial support, so it's best for individual creatives and researchers, not high-volume production workflows.
Behind the Verdict
SUPIR stands out because it lets you guide the restoration with text prompts, a feature traditional upscalers lack. This means you can add creative direction, like 'enhance fur detail' or 'recover lost texture,' which opens up artistic possibilities beyond pure fidelity. The open-source nature is a huge plus for researchers and tinkerers. The web app, SupPixel AI, lowers the barrier for those who don't want to deal with GPU setups. However, the current experience isn't slick: the homepage labels the online demo as 'coming' and provides no pricing or usage details for SupPixel AI, so you’ll need to visit suppixel.ai to find out. There's no API, no batch processing, and no enterprise support, so if you need to process thousands of images, this will be a hassle. The model also requires significant computational resources—likely a high-end GPU—for local use, which could be a dealbreaker for some. Compared to Topaz Gigapixel, which is a polished commercial product with batch and API support but no text guidance, SUPIR is more flexible and creative but less production-ready. For a photographer restoring a handful of old family photos, the web app is a gem. For an archive digitizing millions of images, you'd need something else. Overall, SUPIR is a strong tool for individual creatives and researchers, but not for enterprises.
Researching SUPIR? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas SUPIR actually fits — and what changes day-one when you adopt it.
You have a collection of old, damaged family photos. You upload each to SupPixel AI, write a prompt like 'restore natural colors and skin texture', and download the enhanced versions for printing.
Outcome: You achieve high-quality restorations without needing local GPU hardware, and you can guide the output to match your creative intent.
You have a low-res sketch and want to upscale it with added stylized details. You run SUPIR locally with a prompt like 'add intricate linework and vibrant colors'.
Outcome: You get a high-resolution, creatively enhanced version of your artwork that goes beyond simple upscaling.
You are studying diffusion-based restoration methods. You clone the GitHub repo, run experiments on benchmark datasets, and compare results against traditional upscalers.
Outcome: You have full control over the pipeline and can reproduce results, enabling academic research and potential improvements.
Use Cases
- Restore old family photos with natural color and detail
- Upscale low-resolution game screenshots for wallpapers
- Enhance landscape photos to bring out hidden textures
- Revive vintage cinematic frames with lifelike clarity
- Improve portrait clarity for professional portfolios
- Restore blurry architectural images for documentation
Models Under the Hood
as of 2026-08-31
Limitations
- SUPIR is a text-driven, diffusion-based image restoration and upscaling model by XPixel Group, with an official web app (SupPixel AI) at suppixel.ai.
- The site indicates the online demo and paper are 'coming', and provides no details on pricing, API availability, usage limits, or system requirements.
- The model is open-source on GitHub, which may require significant computational resources for local operation.
as of 2026-09-01
Verification history
We have re-verified SUPIR 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where SUPIR's pricing actually pencils out — and where peers do it cheaper.
SUPIR is free to use, either via the open-source model or the SupPixel AI web app, making it a cost-effective option for individual creators and researchers. Compared to paid tools like Topaz Gigapixel (one-time license) or cloud upscalers (per-image fees), SUPIR offers zero cost but requires more manual effort and technical skill.
Setup time & first value
How long it actually takes to get something useful out of SUPIR — broken out by persona, not the marketing-page minute.
Using the SupPixel AI web app takes minutes to start—just visit the site, upload an image, and get results. Running the open-source model locally takes a few hours to set up (dependencies, model download, GPU configuration), assuming you have compatible hardware.
Switching to or from SUPIR
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- ↗To Topaz Gigapixel: If you need batch processing, commercial support, and a polished UI, Topaz offers a paid one-time license but lacks text-guided control.
- ↗To other cloud upscalers: For API access and integration into automated workflows, consider cloud services like Replicate's upscalers, though they charge per image.
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “SUPIR”, and we withheld 6: 6 could not be judged, because “SUPIR” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about SUPIR.
Official links
Tools that pair well with SUPIR
Common stack mates teams adopt alongside SUPIR, with the specific reason each pairing earns its keep.
Bing Image Creator
Bing Image Creator is Microsoft's free text-to-image generator for quick AI images from a prompt or your own photo.
Flux Kontext AI
Web-based AI image editor that applies natural-language edits to existing photos using FLUX.1 Kontext models.
Krita Ai Diffusion
Open-source AI image generation plugin for Krita, free locally or via cloud
Featured Head-to-Head Comparisons
Supir vs Adobe Firefly Services
For individual creators restoring vintage photos or low-res art, SUPIR is the cost-effective choice with open-source flexibility. For enterprises automating content production at scale with compliance needs, Adobe Firefly Services is the clear winner despite its usage costs. Choose based on your primary need: restoration vs. generative creation.
Supir vs Qoves
Choose QOVES if you want a science-backed, non-surgical facial improvement plan tailored to your unique traits—perfect for self-improvement enthusiasts. Choose SUPIR if you need to restore old or low-quality photos with creative control via text prompts, and you prefer a free, open-source solution. They serve entirely different needs; your decision hinges on whether you want to analyze your face or fix your images.
Supir vs The New Black
These tools serve entirely different purposes: The New Black is a specialized fashion design platform for generating apparel concepts and tech packs, while SUPIR is a free open-source image restoration tool for upscaling and reviving photos. Choose The New Black if you're a fashion brand or designer needing AI-assisted collection creation; choose SUPIR if you need high-quality photo restoration with text-driven control.
Alternatives to SUPIR
View allBing Image Creator
Bing Image Creator is Microsoft's free text-to-image generator for quick AI images from a prompt or your own photo.
Flux Kontext AI
Web-based AI image editor that applies natural-language edits to existing photos using FLUX.1 Kontext models.
Krita Ai Diffusion
Open-source AI image generation plugin for Krita, free locally or via cloud
Frequently Asked Questions
Categories
Best-of guides
Used SUPIR? Help shape our editorial sentiment research.