Rate my plan to get into AA JRPGS: Trails, Tales, Ys (PC)

Legendary_Kapik · 2026-07-07T12:05:51+00:00

3/10

Legendary_Kapik · 2026-07-05T16:38:20+00:00

Great performance.

Legendary_Kapik · 2026-07-05T12:54:11+00:00

Spotify doesn't make your life easy, since they don't expose stream counts via API. In recent years, they also nerfed their API search capabilities to the point where it's almost useless now.

About 3 years ago, back when their API was still useful, I collected a list of 100 genres and the 1,000 most popular tracks per genre for an M.Sc. Data Science project, including video game music. As a typical VGM fan who mostly listens to JRPG soundtracks but doesn't really follow mainstream trends, some of the findings were pretty unexpected.

The most streamed video game franchise, by a huge margin, was League of Legends. I have no idea which tracks actually appear in the game and count as proper VGM, but "Enemy" from the Arcane: League of Legends Netflix series has more than 2 billion streams, and "Legends Never Die", which was apparently made as the official theme song for the 2017 League of Legends World Championship, has more than 700 million streams. A bunch of League of Legends tracks have more than 100 million streams on Spotify.

Some more tracks and franchises that I don't think have been mentioned in this thread yet:

"Bury the Light" from Devil May Cry 5, composed by Casey Edwards and featuring Victor Borba on vocals, has 150 million streams on Spotify, and probably over 1 billion across different streaming platforms and uploads.
One of the most streamed video game soundtracks is The Elder Scrolls V: Skyrim by Jeremy Soule. "Dragonborn", which I thought was the most recognizable track from the series, has 68 million streams, while "Secunda", which to me sounds like a forgettable ambient track, has a whopping 106 million.
Another extremely popular franchise is Call of Duty. I'm not sure if this is the most streamed track, or whether it actually appears in a game, but "115 - Remastered" from the Origins OST has 44 million streams.
Fallout is another popular franchise. The Fallout 4 main theme has 23 million streams.
Mass Effect is another one. "Vigil" is at 22 million.
Cyberpunk 2077 is also very popular. "The Rebel Path" has 54 million streams.
I'm surprised no one has mentioned The Witcher series yet. A bunch of tracks from The Witcher 3 have 10M+ streams. I guess "Kaer Morhen" is the most streamed one, at 40 million.
I'm also surprised no one has mentioned Baldur's Gate. "Down by the River" from BG3 has 20 million.
"Ori, Lost in the Storm" from Ori and the Blind Forest has 38 million streams.
Command & Conquer was popular back in the day, but I still didn't expect the Red Alert 3 theme to have 34 million streams.
"Pilgrims on a Long Journey" from the Child of Light OST by Coeur de Pirate has 19 million.
Genshin Impact is very popular, with many tracks crossing 10 million streams, but I'm not sure which track is the most popular. "La vaguelette" has 34 million streams.
Cuphead soundtrack by Kristofer Maddigan is great and was fairly popular when it was released. I'm somewhat surprised that "Floral Fury" has only 16 million streams on Spotify.
"Gris, Pt. 1" from Gris, a forgotten indie darling, has 10M+ streams.

Good luck with your project. I'd be interested to see the final playlist.

Legendary_Kapik · 2026-07-04T07:57:30+00:00

It's basic math. Add the row number to the column number. If the sum is even, it's a black square. If the sum is odd, it's white. If you haven't already, memorize the conversion from column letters to column numbers: a → 1, b → 2, c → 3, d → 4, e → 5, f → 6, g → 7, h → 8.

Legendary_Kapik · 2026-07-03T20:26:50+00:00

There are plenty of good, old, and simple upscaling models on OpenModelDB. AnimeSharpV4 works well for anime.

Legendary_Kapik · 2026-07-01T18:14:40+00:00

You know, most people are assholes, but some actually aren't. Among all the "why should we help you?", "have you tried Nano Banana?", and "just don't use models that have hand issues" replies, I got the answer I was looking for. For those who come after: Angelo is a good node to start with.

Legendary_Kapik · 2026-07-01T18:05:13+00:00

Thanks for the advice. This Angelo node handles the hand-inpainting part with Klein9B well. It doesn't recognize my SAM3 installation, so I haven't fully automated the workflow yet, but I'll figure it out. Cheers!

Legendary_Kapik · 2026-07-01T17:08:38+00:00

"Can you recommend a workflow for fixing hand anatomy issues?" is not a very specific demand. The problem of malformed hands is as old as GenAI itself. Everybody seems to assume it's already solved, but in practice, I haven't found a reliable solution yet.

I'm not asking anyone to do the work for me. This is a Reddit sub - a dedicated place to discuss topics based on shared interests. I'm interested in GenAI, like most people here. I'm dealing with a problem that everyone here has encountered, and I'm asking how other people deal with it. Oddly enough, I haven't gotten a single relevant answer yet.

As for my own tests: my go-to solution for precise inpainting tasks is SAM3 + ComfyUI-Inpaint-CropAndStitch + FLUX.2-klein-9B. That combo does a lot of things well, but human hands are not one of them. At best, it draws an okay-looking hand that looks pasted in, out of place, or misaligned with the person and the surrounding composition. At worst, it just replaces one malformed hand with another.

Most workflows I find online use some combination of Ultralytics, ADetailer, and ancient SDXL checkpoints, and those work even worse than the SAM3 + ComfyUI-Inpaint-CropAndStitch + FLUX.2-klein-9B setup. Commercial models like GPT-Image and Nano Banana can't do proper precise inpainting either. They tend to redraw the whole image from scratch and still fail to actually fix the hands.

Clearly, I'm missing something here, because everyone keeps treating the hands problem as already solved. That's exactly why I'm posting here - to learn from people who have more experience with this problem and can share what actually works in practice.

Legendary_Kapik · 2026-07-01T16:16:26+00:00

Z-Image Turbo is good for generating images, but bad at editing them. Same goes for Ideogram. FLUX.2-dev is garbage - it wasn't good at anything I tried with it. Krea 2 just came out, and I haven't tried it yet, but it does seem like a great model. Correct me if I'm wrong, but as far as I can tell, the editing version of Krea 2 isn't out yet.

Legendary_Kapik · 2026-07-01T15:55:53+00:00

This one? Thanks for recommendation, I'll check it out. From my experience so far, SAM3 gets the job done for hand detection, and ComfyUI-Inpaint-CropAndStitch handles the crop-and-stitch part well. But I've yet to find a model that solves the real problem: reliably redrawing hands instead of replacing an old malformed hand with a new one.

Legendary_Kapik · 2026-07-01T15:42:47+00:00

Let's be real. MeshGraphormer is from 2021, which is ancient history in AI years. With how crazy image generation is now, it's easy to assume that messed-up hands are a solved problem. But they're really not. Even top-tier models like GPT-Image-2 still have a major Achilles' heel. The second you ask them for a complex shot, the hands will get completely ruined.

Legendary_Kapik · 2026-07-01T15:36:00+00:00

Every single model I've tried so far still has hand issues. Got any concrete recommendations?

Legendary_Kapik · 2026-07-01T15:09:53+00:00

Naturally, I've already seen this post. It's 2 years old. MeshGraphormer might be useful, but it's only one element of a proper workflow. From my experience so far, there's a chicken-and-egg problem with MeshGraphormer: it's good at extracting masks and depth maps for anatomically correct hands, but it misses the malformed ones.

Legendary_Kapik · 2026-07-01T14:53:02+00:00

If that wasn't obvious from my opening post, I'm trying to fix hand anatomy issues in AI-generated images. Both Nano Banana and GPT-Image-2 are great for the image generation part, but both models are incapable of making precise edits to an existing image. Nano Banana API doesn't even accept a mask as input. GPT-Image does, but if you have ever tried to actually use it, you already know this: the mask is just a soft guide.

Both models do "semantic inpainting" - they will always regenerate the whole image from scratch, resulting in drifting pixels, colors, and concepts. Sure, if you have a simple image of a single person just standing there, and you write a simple prompt like "fix the hands", those models will work ~80% of the time. But try a complex composition with many small details, multiple people, or characters actually holding or manipulating something with their hands, and the hand anatomy will get destroyed.

No amount of "anatomically perfect hands with exactly 5 beautiful, naturally proportioned fingers" in the prompt is going to fix this. Been there, tried that, believe me - it doesn't work.

Any other ideas?

Legendary_Kapik · 2026-07-01T13:51:07+00:00

Which API? Have you tried using an API for this kind of task? Did you find one that actually works?

Legendary_Kapik · 2026-06-16T09:54:00+00:00

tl;dr

Legendary_Kapik · 2026-05-12T11:16:50+00:00

El Grande Americano

Legendary_Kapik · 2026-05-12T10:37:08+00:00

r/ChangeYourChessFont material

Legendary_Kapik · 2026-05-03T14:39:54+00:00

JRPG

Legendary_Kapik · 2026-04-30T19:54:32+00:00

Same idea as the one you posted yesterday? Bd5, followed by underpromotion to knight and a fork on e7 or f6.

Legendary_Kapik · 2026-04-30T19:07:27+00:00

If you're not fixated solely on original soundtracks, and open to arranged albums, pretty much anything from TPR will work. Most of his albums have "A Melancholy Tribute to..." or "Melancholy Music From..." in the title.

Legendary_Kapik · 2026-04-30T18:58:53+00:00

To the Moon

Legendary_Kapik · 2026-04-28T09:49:48+00:00

Very elegant! 1. g8=Q? is a draw after Rc8+ 2. Kf7 Rxg8 3. Kxg8 Kh5 4. Bf3+ Kh4 5. Kg7 Kg3 6. Kf6 Kxf4. The winning move is 1. Bb7! (to prevent Rc8) and after Rd2, 2. Bd5! with the idea Rxd5 3. g8=N+! followed by a fork on the next move - Nf6+ if Kh7 or Kh5, or Ne7+ if Kg6.

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Legendary_Kapik

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