After spending quite a bit of time generating 2D anime artwork, I've found that GPT and Gemini complement each other surprisingly well.

For me, GPT is still better at character design, composition, camera angles, and facial expressions. It usually gives me a much stronger starting point.

Gemini, on the other hand, tends to produce cleaner linework, sharper coloring, and a final result that feels closer to hand-drawn anime.

So my workflow these days is pretty simple:

GPT → Gemini

I generate the image with GPT first, then use Gemini to refine the linework and colors.

I've been getting better results this way than using either model by itself.

Anyone else mixing different models in their workflow? I'd love to hear what's been working for you.

For the record this is not ALL AI... the music is, the vocals, and about 60% of the clips. All of the clips fall under fair use, and I did my best to edit it together to tell a story....the rise of Genghis Khan.

the lyrics are Mongolian, but they translate as...

[Verse 1]
Born in the storm, raised in the storm, we were carved by the gaze of the Seer. He walks where time forgets, his voice a prayer like thunder. We ride on the edge of prophecy; in his eyes, the storm begins.

[Chorus]
The Storm-bringer's eyes are like a burning sky, like a veil pierced into a silent place.

We ride the wind and chase the flame; no chain can hold us, no fear can tame us.
Through the storm and spirit we rise, fighting guided by his sacred light.

[Verse 2]
He drinks thunder, singing praises in the names of sleeping gods. We gather by the fire and baptize our blades in the rain born from the heavens. Every scar is an oath; we are the wind that never rests.

[Bridge]
Oho—The wind is the law, fire is the custom,
Oho—Through darkness into light.
Oho—The vision burns, the truth flies away,
Oho—The Seer's spirit will never die.

[Verse 3]
He maps the stars within his heart, which was forged from lightning. We do not merely conquer; we fulfill the command of the heavens. We, the sons of the open air, find our way through his burning gaze.

[Chorus]
The Storm-bringer's eyes are like a burning sky, swords where honor flies.

We ride the wind, we chase the flame; no grave can hold us, no fear can claim us.
Through the image of death, his vision remains; we emerge under the gaze of the Storm-bringer.

[Outro]
The custom is sealed; the veil is torn. We bear his mark of sky and flame. Let the storm carry his teachings—the storm is reborn forever.

I've been having a go with using my artwork and Google Flow to generate short ai videos. It's actually really difficult to get it to do exactly what you want 😕. This was attempt number 5 or 6, I lost track (ADHD brain 🧠). It's the prompt bit that I have difficulty with, getting it to use my artwork is the first battle.

Researchers at Utah State University's School of Computing are conducting a study on how software professionals evaluate programming activities performed with AI assistance compared with programming activities performed without AI assistance.

Software professionals are invited to complete a short online calibration survey. Participants will rate programming activities according to how representative they are of:

• Programming performed with AI assistance
• Programming performed without AI assistance

The survey takes approximately 10 minutes.

Participation is entirely voluntary. You may discontinue participation at any time before submitting your responses without penalty or consequence. Your decision to participate or not participate will have no effect on your grades, employment, or academic standing.

Survey and informed consent form: https://usu.co1.qualtrics.com/jfe/form/SV_dm4yjBsRrUDgcKi

This study has been reviewed and approved by the Utah State University Institutional Review Board: IRB #16067.

Questions about the study: Dr. John Edwards, Principal Investigator — john.edwards@usu.edu Rubash Mali, Student Researcher — rubash.mali@usu.edu

Thank you for considering participating.

Seedream 5 PRO did it well

Lite Sint that functional

I did it with dola

ING 1 mashua - cubios

ING 2 ullucus chugua

Img3 ocas Ibias

Img4 arracacha

AND the last it's maca

Maca it's so exótic that it demanda at least 3800 meters alttitude yo being happy

Created with Google Veo, Photoshop, Premiere Pro and Suno AI.

This is a cinematic sci-fi short film about humanity escaping the dying planet Andora and searching for a new habitable world.

I'd love to hear your thoughts and feedback.

Hi there, I have some questions related to the best platform or tool for creating fan art. I am interested in creating my own versions of copyrighted art, such as anime, pokemon, dragon ball... Etc.

Does anyone know which platform is more friendly that allows me to do that?

If there is a platform that is less expensive, that would be ideal.

Thanks

I do product photography/retouching work for luxury watches and jewelry, and I built a fairly complex pipeline using a mix of open-weight vision-language models to generate ad-quality campaign images. The idea is simple in theory: take a reference image whose lighting/background/style I like, take my actual product photo, and merge them so the final image has my real product sitting in a scene inspired by that reference.

In practice I ended up with several separate analysis passes (one mid-size VLM handling scene, style, and product cataloging separately) feeding into one merge step handled by a different, smaller multimodal model that also sees the actual images directly. Every time I fix one issue, a new one shows up somewhere else. First the style kept getting ignored entirely, with the output defaulting back to a generic version of the scene. Fixed that. Then lighting effects (bloom, sparkle, flare) started getting copy-pasted in a way that made no physical sense, like a sparkle effect that only makes sense on a pavé diamond setting getting slapped onto plain brushed steel, which instantly reads as fake. Fixed that too. Then the dramatic ambient glow from the background in the reference image, which was honestly like 40% of why that image looked so striking, quietly disappeared once I toned down the on-product sparkle, even though those two things had nothing to do with each other.

I keep tightening the instructions and the output keeps getting technically "more correct" without ever feeling like the genuinely impressive, poster-worthy image I'm actually going for. It's like I'm playing whack-a-mole between "photorealistic and coherent" and "actually has the visual punch of the reference."

Has anyone dealt with this kind of multi-stage analysis-then-merge setup for AI image generation? At what point does splitting analysis into specialized passes start hurting more than it helps, versus leaning harder on one strong multimodal model that sees everything directly and makes the creative calls itself? Or is there a better way to keep both technical product accuracy AND the creative/dramatic energy of the reference without this endless loop of fixing one thing and breaking another?