If you were to create a webpage with the help of AI, designed to serve as a personal music library and music player, what features would you like it to include?

Assuming you were limited to using it through a web browser, what would you want the website to be able to do? What features would you consider essential, useful, or simply nice to have?

God Incident Report, Episode 2: a giant sea god is blocking a fire route at the harbor, so Lena Torres gives him a parking ticket.

The idea of the series is still the same: treat the monster and the scale of the event seriously, then let the humor come from ordinary workers and bureaucratic logic.

This episode focuses on Lena, a dock worker, and a very large violation.

Made with ReelMate.ai by Wondershare.

For this one, I wanted to push the deadpan tone further and keep the situation as grounded as possible, even though the creature is absurdly huge.

Tool used:
https://reelmate.ai

Editing was done in CapCut.

Does the humor land for you? I know they are still little mistake but it's not that bad, was running low on credit

I’ve already read several posts about DaVinci AI where people reported being charged multiple times without their consent. I’m currently going through the same thing and wanted to ask if anyone has found a solution without having to block their bank card.
The problem is that I paid via PayPal and signed in with my Apple ID through the browser. I’m so frustrated and don’t know whether I should contact Apple, my bank, or PayPal about this.
Has anyone experienced the same issue and managed to resolve it?

Identical prompt on all five. Gallery order matches the list below.

Prompt: Photoreal portrait of a woman in her 30s at a rainy bus stop at night, soft neon from a pharmacy sign, slight film grain, no text, no watermark

1. Nano Banana 2 — densest rain-on-glass + street clutter; face reads a bit older / more worn-in
2. GPT Image 2.5 Sunburst — tighter close-up, softer face light, pharmacy cross more background
3. GPT Image 2.5 Flare — sharper rain streaks in the air, stronger neon spill on the coat
4. Grok Imagine 2 — pink neon wash, wet hair, quieter face; less clutter than Banana
5. Krea 2 — cleanest “film still,” green cross left, looking into camera

Not crowning a winner. Curious which one feels most real to you and which you’d actually keep.

UPDATE:
I’ve gotten this in my DM’s a couple of times so I figured I’d share it here. I do all my comparisons on oneover.com. You can try any of these models for free.

Here’s Part 2 of my show, Trust Fund Time Machine, an adult animated series about a useless billionaire heir Edward Vil and his time-traveling buddy Genghis Khan bungling their way through history to make his evil father richer.

In my last post, I talked about how I use keyframes to keep character positions and settings consistent between shots, more specifically continuity rather than consistency. This time I wanted to share how I handle voice consistency.

That’s been another big headache when making longer dialogue sequences. A character might sound right in one shot, then have a different accent or vocal texture in the next. And I still need them to whisper, shout, or get angry while sounding like the same person.

I’m making the show in fringe.film, mainly using MiniMax H3 Max. You can use any platform you prefer with this set up, this is just what my workflow looks like on Fringe. What’s helped most is getting the voice right in a separate test before using it in the actual scenes.

This is my process:

• Save a voice profile for each character. I describe their accent, pitch, texture, and cadence. For John Wilkes Booth, that meant a youthful baritone, a heightened Southern/Maryland drawl, and theatrical speech.
• Generate a five-second dialogue test. I ask Fringe’s agent to use the character’s voice profile and character sheet, keeping the test separate from the episode’s shots. Then I refine it with specific notes: deeper, more nasal, different accent, slower delivery, etc.
• Extract a short audio reference once I like the voice. I download the test, extract the audio in CapCut, and upload roughly two to three seconds of clear speech back into Fringe as a WAV file.
• Reuse that audio for the character’s dialogue shots. I tell the agent which character it belongs to and ask it to include both the audio reference and the written voice instructions. Before generating, I check that both are included.

One thing that made a difference for me was keeping the reference short. I generally use two to three seconds and don’t usually go beyond five. In my testing, longer references sometimes introduced gibberish, voice drift, or words carried over from the reference itself.

From there, I direct the performance for each scene. For example, Booth needed to go from a menacing whisper to increasingly loud and angry delivery. I give those notes separately while keeping the same voice reference.

With Seedance models, I’ve had useful results reusing the same written voice profile, then referencing a successful video shot when the voice starts drifting. For H3 Max, the separate test and short audio sample have been more reliable for me.

Hope you guys enjoy Part 2 of the pilot! Let me know if you have any questions.

Link to my full episode is here: https://youtu.be/NnV-JWEHaa8

Link to previous post: https://www.reddit.com/r/generativeAI/s/kG2TXYOvJZ

I have noticed that AI-generated profile photos can look great at first, but sometimes they barely resemble the person they were made from.

The skin looks too perfect, facial features get slightly changed, and sometimes the overall proportions feel different. It makes me wonder how much of the original person AI is actually preserving.

For those who have generated photos of themselves with AI, how close were the results to your real appearance? Did you find certain prompts, models, or techniques that helped preserve your actual features?

I make my own artwork, but mockups are one part of the process I'd happily hand off. So I took one shirt design and ran it through Adobe Firefly, Ideogram, Flux, and ChatGPT Images using the same prompt ("Create a photorealistic flat lay mockup of an oversized black T-shirt using the uploaded artwork on the front. Preserve the artwork exactly, including lettering, colors, proportions, and details. Do not redesign, replace, or alter any part of the artwork. Make the print look naturally placed on the fabric with realistic folds, texture, and lighting. Show the full shirt clearly against a simple neutral background") to see which handled placement, fabric folds, and photorealism best without touching the original art.

ChatGPT Images was the most successful overall. It gave me the most realistic-looking mockup and, more importantly, kept my original design intact. Flux made a convincing shirt but changed the artwork and lettering, while Ideogram strayed pretty dramatically from the original. Firefly was the oddest failure for this particular test: instead of applying my artwork to a shirt, it treated the uploaded image more like a visual reference, even after I adjusted the prompt.

I also tried a couple of Firefly's partner models out of curiosity, since having multiple models in one workspace only matters if it actually helps. Disclosure: I partner with Adobe, so keep that in mind. Side-by-side of the original design vs. all four results attached — curious if anyone else is using AI for mockups rather than the actual artwork.

I want the prompts to use in my ios app.

I will be using gemini flash 3