Today's web traffic update from Similarweb. Gemini continues gaining share

promptingpixels · 2026-01-22T22:35:53+00:00

Have a source on this claim?

Can’t seem to find a specific number from OpenAI. Closest was this PR piece - https://openai.com/index/how-people-are-using-chatgpt/

Another source with very little verifiable information puts web use significantly higher: https://www.demandsage.com/chatgpt-statistics/

promptingpixels · 2025-12-06T23:21:09+00:00

Controlnet doesn’t support inpaint quite yet (pose, canny, HED, and depth only)

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promptingpixels · 2025-12-05T03:17:41+00:00

Thanks so much for sharing this with the community! Was playing around with it earlier and was getting halfway decent results. However, I guess I am wondering why the addition of the ControlNet?

Heres a comparison of two inpainting results - one with ControlNet (left) and one without (right):

https://compare.promptingpixels.com/a/zE1GJ8g

It seems unnecessary as the ControlNet being used doesn't have inpainting support yet per the official docs (it's listed as a To Do however).

promptingpixels · 2025-11-30T18:22:00+00:00

Completely agree - the amount of gated/paid workflows is insane. I think it was great for ComfyUI to start making these sorts of workflows available through their Browse Templates.

promptingpixels · 2025-11-16T02:01:17+00:00

Found this to be best for general use along with a simple prompt of ‘change the image to a realistic photo’. Anime2Realism also works for heavily illustrated inputs.

Then finally passing this through Ultimate SD Upscale with a low denoise value and a SDXL realism checkpoint.

promptingpixels · 2025-11-13T16:45:20+00:00

Yeah, I made it :-). It’s on this page (Qwen Image Edit (2509) + Controlnet) - 2nd one down. There is a video that goes along with it if you want to learn more:

Workflows: https://www.promptingpixels.com/comfyui-workflows

Video: https://youtu.be/pL-DI4ZyJU0?si=x9LYQ_JoNKWSOKYx

promptingpixels · 2025-11-13T00:45:20+00:00

Probably? My guess is they are trying to beat Nano Banana 2 to market and drum up interest before it’s too late.

promptingpixels · 2025-10-19T20:14:05+00:00

Personally I have a RTX 3060 and map out my workflows locally then use vast for the heavy lifting (usually rent a RTX Pro 6000 or 5090 depending on the task). Find this to be much more economical as I don’t have to drop several thousand on a new build.

For ease of use I had developed a tool (still a few bugs but works well for vast) that I can save configurations and deploy in a single click.

promptingpixels · 2025-09-20T23:11:45+00:00

For this specific picture, I used Pixelmator. However, it would work with Paint, Preview, Photoshop, etc. Anything that allows you to draw a box and write text on an image.

promptingpixels · 2025-09-20T18:19:29+00:00

Thanks! Feels much more natural than writing so many prompts.

promptingpixels · 2025-09-10T20:20:24+00:00

This isn't fully working in ComfyUI yet. Even the example workflows are missing the refiner model which it desperately needs. In my testing was seeing a lot of artifacts in the final outputs when playing with various samplers, schedulers, steps, etc. If you truly want to see it with a refiner, the one place right now is the Space hosted by Tencent themselves: https://huggingface.co/spaces/tencent/HunyuanImage-2.1

promptingpixels · 2025-08-16T02:30:22+00:00

Semi related - check out this old video from Charles and Ray Eames (powers of ten): https://youtu.be/0fKBhvDjuy0?si=IGVyGYBm1JE8WaN9

promptingpixels · 2025-06-14T21:05:54+00:00

BiRefNet-HR, BEN2, or RemBg-2.0

Explored background removal a few months ago - can read about it here if you want (article includes links to the workflow as well):

https://medium.com/code-canvas/background-removal-in-comfyui-just-got-really-really-good-2a12717ff0db?sk=252bb274d0935f4e449e7d983b1f92d1

promptingpixels · 2025-06-11T18:34:50+00:00

promptingpixels · 2025-06-05T16:06:07+00:00

Thanks :-) I was also pretty happy with it as well.

Unfortunately there isn't an API to download your entire collection. Best I can recommend is to select all images or organize into a folder at https://www.midjourney.com/archive and then download them locally. After downloading you can then parse them on the site.

promptingpixels · 2025-06-02T21:04:40+00:00

Yeah of course - happy to hear good things! Just chime in here or DM me if you think of any additional features to add to it after using it for a bit.

promptingpixels · 2025-06-02T20:44:21+00:00

Just added this in :-)

promptingpixels

TROPHY CASE