AI Generation Tutorials

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What you say about losing resolution with upscaling is true in the real world but not in the AI world. In an AI picture, we cannot distinguish between right or wrong, since the person does not exist. This being said, ComfyUI comes up with generative upscaling models, which take not only the image as an input, but also the model, prompt, and VAE, and then iteratively resample the upscaled image tile by tile. This approach genrates new information to the image, which generally more than compensates the loss of quality through "normal" upscaling.

Hi Model1one - not so many ppl here to have a discussion like that - so thanks go back to ya

Still on the upscaling toppic: sure I know with an AI upscaler you won't run into degeneration like the tradidional bicubic and alikes. But every time an AI adds details to a image it gets changed. Maybe it's me - but this still feels like a degeneration... we need a new word here.

To talk some tec: running a RTX3060 with 12GB VRAM here - the setup generates about 1 image every 30 secs, with a constand load around 9GB and peaks that max the 12GB out. If you wanna upgrade: go for something with at least 12GB - the system is not dying but I guess everything below that waterline will be a huge pain.

keep creatin'!

[model1one_ai]

Still on the upscaling toppic: sure I know with an AI upscaler you won't run into degeneration like the tradidional bicubic and alikes. But every time an AI adds details to a image it gets changed. Maybe it's me - but this still feels like a degeneration... we need a new word here.

To talk some tec: running a RTX3060 with 12GB VRAM here - the setup generates about 1 image every 30 secs, with a constand load around 9GB and peaks that max the 12GB out. If you wanna upgrade: go for something with at least 12GB - the system is not dying but I guess everything below that waterline will be a huge pain.

keep creatin'!

Sure, the upscaler will add information, and there may be scenarios in which this is intentional and others in which you wouldn't want to see anything that disturbs the original image.

I would call this "creativity" of the upscaler. For normal upscaling, I made best progress with the ESRGAN upscaler and a denoise 0.07 setting (0.1 may already add unwanted artefacts).

You said 1 image every 30 secs - do you mean one iteration during the sampling process or a fully sampled image?

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You said 1 image every 30 secs - do you mean one iteration during the sampling process or a fully sampled image?

One Image every 30 secs. in 1344x736. No Upscale, no face refiner.

I normally do a calibration run around 100-200 images, til I have a stable prompt with dynamic components (btw: all in automatic1111) and then let render overnight. Output is somewhere 1500 images.

[model1one_ai]

One Image every 30 secs. in 1344x736. No Upscale, no face refiner.

Ok, I see... I tried a simple workflow with your settings on my server (CPU only, 8 cores running on ComfyUI)... 40 secs per iteration. Seems you have 25 steps, so the GPU makes a speed-up of 40-50. Not too bad, but I think I'd need more than 12 GB VRAM, since I have IPAdapters with FaceID in my workflow.

Seems like I neeed to find a sponsor who can help me with a H100.

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Seems like I neeed to find a sponsor who can help me with a H100.

If you find a sponsor - tell him you need two cards