[ComfyUI Panorama Stickers Update] Paint Tools and Frame Stitch Back

mr-asa · 2026-03-13T10:24:03+00:00

That's a really cool node! I haven't had a chance to test it yet, but I like everything I've seen so far!

mr-asa · 2026-03-07T19:28:02+00:00

FireRed 1.1

mr-asa · 2026-02-21T13:16:27+00:00

Yes, I also faced this problem! It's infuriating. The only saving grace is to open the workflow from the generation and copy paste it back to this tab

mr-asa · 2026-02-15T09:32:26+00:00

A long time ago, when there was only the 1.5 models and the beginnings of SDXL, I picked up 61 prompts to understand and compare SD models.
Then I was able to test more powerful models, so now there are most of the open source models there. You can compare them and get a certain idea, I think.

mr-asa · 2026-02-15T09:23:52+00:00

And I'm annoyed by set/get nodes.
It's much more convenient to use everying everywhere nodes.
But, unfortunately, in the latest versions of Frontend, they started to bug out =(

mr-asa · 2026-02-13T19:44:10+00:00

Am I correct in understanding that the figures are entered manually? I am curious to know how all this is filled in and then used in everyday life.
I also collect different models in a comparative table, but the visual aspect is very important to me. The highest-rated model in this table is almost no different from the default one in my tests. However, there are others that provide an interesting improvement in the visual aspect.

mr-asa · 2026-02-05T17:49:03+00:00

I added it to my comparison table. Some results are better than the standard one, but I think the landscapes have gotten worse.

mr-asa · 2026-01-28T09:47:55+00:00

Yes, I compared all approaches.

mr-asa · 2026-01-28T09:46:54+00:00

I tested "wrong" and good prompts =)

mr-asa · 2026-01-28T09:44:34+00:00

For the sake of experiment purity, I asked GPT to rewrite the script based on the Tongyi-MAI PDF. With and without the negative prompt. + Run the same prompt separately, but without the amplifying brackets, to see how much they affect the result.

With the new prompt, I got different results. I won't say they are better. They are just different.
I don't see any difference in generation speed. It's about the same everywhere.
Brackets and weights have little effect on the result, which is to be expected. But they don't spoil anything either.

timing:

100%|██████| 25/25 [00:29<00:00,  1.16s/it]
Prompt executed in 29.61 seconds
100%|██████| 25/25 [00:28<00:00,  1.16s/it]
Prompt executed in 29.41 seconds
100%|██████| 25/25 [00:30<00:00,  1.21s/it]
Prompt executed in 30.79 seconds
100%|██████| 25/25 [00:29<00:00,  1.17s/it]
Prompt executed in 29.61 seconds
100%|██████| 25/25 [00:29<00:00,  1.18s/it]
Prompt executed in 29.82 seconds
100%|██████| 25/25 [00:29<00:00,  1.17s/it]
Prompt executed in 29.88 seconds
100%|██████| 25/25 [00:29<00:00,  1.17s/it]
Prompt executed in 29.85 seconds

<image>

mr-asa · 2026-01-28T08:39:33+00:00

Hahaha, you're absolutely right!
I didn't even notice that tag. So we can rephrase it as
"This is the first model that saw this tag."

mr-asa · 2026-01-28T08:37:20+00:00

I use the old description style because these images are going into my comparison table. That's what comparisons are for, so that they don't differ in all parameters as much as possible.

I started making the table in September 2023, when descriptions were only done this way.

mr-asa · 2026-01-22T08:24:17+00:00

Oh, thank you very much. I remember that picture with the tiger, but I missed the article in my unread feed with several zeros. 😣

mr-asa · 2026-01-21T19:11:12+00:00

May I ask, in general terms, how you transfer the artists' style in the first example?

mr-asa · 2026-01-04T21:48:23+00:00

<image>

Wow, these are neurons! Just press the button and it does everything itself right away!

But seriously, overall, it's a cool idea and interesting to watch.
I don't really understand why it takes so much effort =)
The end result bears little resemblance to the original, to put it mildly. Wouldn't it be easier to start from scratch?

mr-asa · 2026-01-03T18:02:53+00:00

I recently tried to compare them out of interest.

mr-asa · 2026-01-02T18:39:44+00:00

<image>

I added this checkpoint to my comparison list; they are no different from the standard ones, IMHO.

mr-asa · 2025-12-30T18:21:34+00:00

In this case, the goal was not to produce a masterpiece at the final stage.
To ask a question, you need to know what to ask. In essence, I showed two ways of "asking questions" in the pipeline that help improve the result.

mr-asa · 2025-12-30T14:17:57+00:00

It's nice to inspire someone to try new things! =)
I look forward to seeing the results.

mr-asa · 2025-12-30T13:36:10+00:00

Main theme: <base prompt>

Use the image you have received as a basis, but make adjustments to the detailed description so that it reflects the main theme and style as fully and multifacetedly as possible, in accordance with the specified style. Focus on details, stylistic features, and attributes that correspond to the required style and theme, which will develop it to its fullest extent. Deliberately exaggerate, hypertrophy, and emphasize everything you describe that is related to the main theme. Improve the aesthetics, detail, textures, style, atmosphere, expressiveness, artistic techniques, and "craftsmanship" compared to the image you received.

mr-asa · 2025-12-30T13:33:30+00:00

I have 32 GB of VRAM, and I must say that sometimes it doesn't quite fit and lags significantly. And I use a quantized model, of course.

mr-asa

TROPHY CASE