ComfyUI - High Quality Upscaling with ControlNet Tile - Low VRAM

In this video, we show how you can easily change a character in a photo using ControlNet tile.
This powerful technique allows you to dramatically improve image quality, taking even the most poor-quality photos and turning them into stunning, high-resolution masterpieces.
Unlike other methods, Tile ControlNet is incredibly VRAM-friendly, making it accessible even for users with limited graphics power.
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[@cXrisp]

Works for me! I was getting seams but they went away after I changed the seam_fix_mode to "Half Tile" on the second upscaler. Thanks for the workflow -- I learned a lot.

[@Med2402]

Thank you

[@marcoantonionunezcosinga7828]

I'm happy to find this channel especially because they are for low resource computers ❤

[@CgTopTips]

Thanks, my laptop VRAM is 8 GB, and I always try to keep the workflows I create as simple as possible by avoiding unnecessary nodes and settings

[@tnc97official37]

I'm really happy to have found your channel. Everything is clear and straightforward. At some point, you might want to consider creating a tutorial that's similar to what Krea AI and Magnific AI offer. That could be really helpful. 😊

[@CgTopTips]

I checked both channels that were mentioned. Your aim is to add voice to the videos :)

[@yngeneer]

thank you for your work, would you mind to showcase inpaint and outpaint. Are there necessary inpaint/outpaint(?) models still? How to properly outpaint in comfy?

[@CgTopTips]

Did you watch BrushNet video ?

[@yngeneer]

@@CgTopTips I will !

[@mikrodizels]

Thanks, the workflow works, and it did a pretty good job upscaling a 512x512 image to a 2048x2048 one.
I have a Nvidia GTX 1060 6gb card, the whole process took around 20 minutes to finish.
I then downloaded the v2_rank256 version of controlnet model and tried upscaling using that in hopes I could make the process way faster by sacrificing some quality, but it took around the same time unfortunately. I used the same exact workflow, the only thing I have different in my workflow is my checkpoint (Juggernaut instead of dreamshaper). ~20 mins does not seem that low vram friendly

[@CgTopTips]

My graphics card is an RTX 4060 8Gb VRAM, and with the settings in the video, it generates a 1024x1024 image in two minutes. Other upscaling methods, like using Supir, result in an "Out of memory" error !

[@mikrodizels]

@@CgTopTips How long does the upscaling process take you tho?

[@CgTopTips]

@@mikrodizels 2~3 min (RTX 4090 8gb vram -1024x1024)

[@mikrodizels]

@@CgTopTips You mean to just generate a 1024x1024 image? Or to upscale a 1024x1024 image, using this workflow and these settings?

[@CgTopTips]

The photo I uploaded was 150×150 pixels, and I upscaled it to 1024×1024 pixels using the this workflow

[@DanStpTech]

Why my image have so much orange after second pass ?

[@baheth3elmy16]

Thanks for the video! It just goes forever, I waited for 30 minutes for a single picture of 163kb to upscale and it was still not done, so I cancelled the process.

[@CgTopTips]

Check the terminal panel to ensure that no model is currently downloading. Are you using a graphics card or CPU? Did you set up the nodes exactly like in the video? ...

[@vasilybodnar168]

Doesnt work for me. An error from UltimateSDUpscale - AttributeError: 'NoneType' object has no attribute 'shape'.

[@CgTopTips]

I currently don’t know what the reason, but try to change the checkpoint.

[@DanStpTech]

​@@CgTopTips seems valid only with sdxl checkpoint

[@Med2402]

@@DanStpTech You need "Flux.1-dev-Controlnet-Upscaler.safetensors" for flux

[@πατριωτικός]

How many computer specs are required to use this program?

[@CgTopTips]

Minimum 8GB VRAM !

[@denemesoyadın]

çok zor. pencerelere alışamadım.

[@CgTopTips]

Bu iş akışı diğer iş akışlarına kıyasla daha basittir. Bol pratikle sizin için normal hale gelecektir