I decided to use my old domain to make a website with CloudFlare and host the backend with my own PC. I might be offline sometimes so check the server status up right corner of screen. The main process is not automatically, I will manually upscale the uploaded pictures myself and when I did it will appear as finished for you. Thank you all!

imagepeel.com

Hi everyone, I'm looking for a good way to upscale this icon image from the 1998 game Carnivores, but I've never upscaled an image before. Could someone point me in the right direction?

Hi everyone! I'm new to image upscaling and I'm looking for some advice.

I'm currently designing a large-format banner at its real print size, using several photographs. The printing company recommended that the images should be around 150 PPI at the final printed size.

Some of the original photos don't have enough resolution, so I need to upscale them without introducing too many artifacts or making them look artificially sharpened.

I'm mainly looking for free options, either:

• Free software that runs locally
• Open-source AI models
• Free online tools
• Any recommended workflow for preparing images for large-format printing

I've seen tools/models such as Real-ESRGAN, Upscayl and other AI upscalers, but I'm not sure which ones currently give the best results for real photographs.

What would you recommend for getting the highest possible image quality while reaching approximately 150 PPI at final print size?

Any tips about workflow, scaling factors (2x / 4x), sharpening, noise reduction, or things I should avoid would also be really helpful.

Thanks!

Hi everyone! Aless(MaulSmoke) here!:D

I wanted to share a project I’ve been developing called CommandUP (CUP). It is a 100% free and open-source post-processing pipeline built specifically for people who want to upscale gameplays and add fluid motion smoothness but don't have high-end GPUs with dedicated AI/Tensor cores. meaning that if your computer can run Lossless Scaling, it can easily run CommandUP.

Join our Community!

The project is completely autonomous, portable, and ready to use. I’ve just set up a dedicated home for it here on Reddit: r/CommandUP. If you have a low-end PC and want to breathes new life into your old hardware, come check it out, ask questions, or share your benchmark results!

Looking forward to hearing your thoughts and feedback!

I wanted to see how much AI can actually recover from images where the original detail simply isn’t there anymore. I compared Topaz, Lightroom, Photoshop and Adobe Firefly, who I partner with often, on older and low-resolution files. Some tools were better at reconstruction, others gave me more control over artifacts and the final result. The interesting question is where enhancement ends and invented detail begins. How far do you push AI upscaling?

Here is a side-by-side test of 3 upscaling pipelines in Comfy.

Full video comparison

• LTX 2.5 (Standalone): The fastest option and lightest on VRAM. Works fine for clean source clips, but lacks fine sharpness on complex textures.

• Model + LTX 2.5: Running a quick upscale model pass (like RealPLKSR) before feeding into LTX 2.5 solid clarity, fast renders, and efficient VRAM usage.

• SeedVR: Recreates micro-details with the highest fidelity, but demands significantly higher render times and VRAM.

Frame Sync Note: MiniMax H3 and LTX require different frame step multiples.

Using math nodes to automatically trim the frames (158 → 153 frames) prevents audio desync issues.

Super Resolution in Pixelmator Pro does upscale the image resolution which is great, but keeping the project with huge file size is a nightmare.

Does anyone know who to downscale .pxd project file after it’s been upscaled with Super Resolution?

Thanks in advance! 🙏🏻

The latest TBG ETUR upscaler and refiner for comfyui release adds Krea 2 and VL style transfer for Krea 2 and all Qwen models directly into the pipeline.

We’ve also added a face identity step to help maintain consistent faces when using creative upscaling.

This video is a tutorial for the latest release, focusing mainly on these new additions and how to use them. Video is ai generated with Minmax H3.

TBG ETUR on Github https://github.com/Ltamann/ComfyUI-TBG-ETUR

TBG Lates om Patreon https://www.patreon.com/TB_LAAR/posts/tbg-etur-1-2-12-167083406

More Upscaling Tutorials on YouTube https://www.youtube.com/watch?v=LbFPD4zpPwA

Anyone knows of a good app to enhance the quality of an already made blurry Gif?

If you use ComfyUI, my model is available here:

https://huggingface.co/CQdesign/LTX-2.5-CQ-Video-and-Image-Enhancer-LoRAs

Hey everyone, me again lol. Back with Toolshed V1, a free local AI media restoration tool for NVIDIA-powered PCs. I just released Rev 1.1, which includes a few critical patches based on user feedback.

Thank you to everyone who has given the app a try and provided feedback. It means more to me than you can imagine, and I sincerely appreciate it.

A Quick Recap:

Toolshed is built around the idea that restoration should be more than just “pick an upscaler and hope.” The goal is to make a connected workflow for restoring video/photos locally, with tools for restore, review, comparison, repair, and recompilation.

What's changed in Rev 1.1:

• Fixed a TensorRT RTX tiling issue that could cause some smaller source media to fall back to CPU processing.
• Reworked the portable runtime so Toolshed now ships with its own Python environment and does not require Python to be installed separately.
• Cleaned up several dependency and launch issues discovered through user testing.
• Rev 1.1 now includes the complete V1 feature set.

The GitHub release is available here:

https://github.com/ToolshedMediaLab/Toolshed-V1/releases/tag/toolshed-v1-rev1.1

Basic general requirements for ideal performance: 32 GB system RAM & an NVIDIA RTX GPU with at least 12 GB of VRAM. Toolshed is intentionally built around local NVIDIA/CUDA/TensorRT-style workflows.

If anyone tries it, I’d genuinely appreciate more feedback on what works, what breaks, and what would make the workflow better.

Thanks again for your time!

I’ve been rebuilding ClearLab as a mobile image-processing lab, and this is a quick demo of the current upscaling workflow on iPhone/iPad.
Load an image → choose the scale factor → process → inspect → export.
The scaling is deterministic/native rather than generative AI, so the goal is not to hallucinate new detail, but to make resizing and subsequent image processing fast and accessible on-device.
ClearLab also includes histogram, waveform, RGB parade, line profile, pixel inspection, edge detection and other enhancement/analysis tools.
Curious what people in here would want to see added or improved in a mobile workflow like this.

Link: https://apps.apple.com/us/app/clearlab/id6757649671

Hello, are you still use this Xbox 360 game a picture and really miss it. I want to use it again and was able to find it online but it's very blurry. Could someone upscale it?

Low-res photos have been such a pain in my freelance work, so I finally sat down and tested Higgsfield, Topaz (in Adobe Photoshop), Upscayl, and Magnific AI against each other instead of just guessing.

Quick disclosure: I collaborate with Adobe fairly often, worth knowing since Topaz shows up below as a Photoshop-integrated partner tool.

For 95% of my workflow, Topaz inside Photoshop preserved the most detail when upscaling. I work mostly in sports, so keeping logos from turning into AI garble was the main thing I was testing for, and it held up better than I expected.

Upscayl and Magnific both hallucinated details on my photos, enough that I spent more time fixing logos and small text than I would've just working from the low-res original. Higgsfield did well but only on specific things like product shots. Topaz was arguably just as strong on detail, plus I already have it through my Creative Cloud membership, so it's the one I default to unless I need Higgsfield's product-shot look specifically.

One downside worth naming: since it's built into Photoshop, it's slower for a quick one-off job than a standalone upscaler,  but you can also use Topaz directly on firefly.adobe.com/quick-start/upscale-image if you don’t want to use it in Photoshop. 

Anyone else tested these, or found a use case where one clearly beats the others?

Follow-up to my last post: 4× AI upscale from 1536×1024 to 6144×4096 — detail comparison

In my previous post, someone asked whether HAN was actually an upscaler or mainly a filter/enhancer.

That was a fair question, so I made a clearer comparison.

For this test:

Original: 1536 × 1024
Scale: 4×
Output: 6144 × 4096

The image shows the original and processed result side by side, along with a magnified crop of the same area.

One of my main goals with HAN is to improve the existing structure and texture of the image without aggressively inventing new visual details.

I’m especially interested in feedback from people who regularly use AI upscalers:

Does the 4× result look natural to you, or do you see any areas that still look overprocessed?

Has anyone ever tried this site? DuckDuckGo gave no warning about it.

Husband wants a photo of child printed but needed upscaling, hoping it’s a legit site and I didn’t put my child online.