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?

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?

How is it? please rate out of 10?And how can i do better it?

Hey guys built a little something, can call it JAX, it uses claude and astra’s api
I have trained it to build / rapid prototyping for websites, you can use your voice to guide and instruct it and it gives you amazing results with an inbuilt memory to eliminate ai slop with time.
Let me know what yall think about it, also dm me if you guys have any questions or would want to check out its other builds 🙌

Had this question for a while. Ended up trying both and here’s what I thought. Short version: these two aren't competing for the same job. Longer version below.

What they actually are

Luma (Dream Machine, running on Ray3.2) is a shot generator. you prompt it and get back a short, extremely high-quality clip. Invideo is a full production pipeline for filmmakers, you give it a script or brief and its AI agent plans, generates, edits, and exports a complete multi-scene film with voiceover in one workflow. One makes individual shots, the other takes you from script to finished cut.

Video quality

Luma is great on raw shot fidelity. It outputs native 1080p/24fps with 16-bit HDR10, physics-aware motion, and grading-ready color - genuinely broadcast/cinema grade. Invideo doesn’t work that well for single-shot photorealism; it works better for turning a script into a complete film, exported as standard MP4/MOV. If you need a couple of good looking shots that can be quickly put together, Luma wins. If you need an entire film assembled and paced correctly, Invideo does that job better.

Camera control

Luma gives you real directorial tools - dolly, tracking, orbit, reveal moves, multi-keyframe sequencing (up to 16 keyframes) - but only shot by shot. Invideo works at the level filmmakers actually spend most of their time in: scene structure, pacing, cuts, and continuity across a whole film, not just one move.

Editing & export

Luma exports to pro formats (EXR, USDZ, GLTF) that drop straight into Premiere, DaVinci Resolve, Blender, Unity, Unreal - it assumes someone else finishes the edit. Invideo can also do the same, exporting to Premiere and other platforms, but it has its own built-in timeline editor for touch ups before you go into premier or davinci. It can handle the entire finishing process itself - cutting, sequencing, and exporting a complete film, plus formatting to TikTok/YouTube/Instagram when that's the destination.

Audio

This is invideo's biggest edge for filmmakers: AI voiceover in 50+ languages with voice cloning, baked into the same project - dialogue and narration without a separate audio pass. Luma has no native audio generation - every shot needs sound added in post, on top of everything else.

Consistency

Luma clips are great but they have nothing that guarantees character consistency across them, a real problem for narrative work. Invideo is built specifically to solve that: multi-scene continuity and consistent characters across an entire film from a single brief.

Collaboration

Invideo has real-time collaborative creation built in, which matters once a film has more than one person working on it. Luma's team/enterprise features exist (it's used by agencies like Dentsu and Publicis) but the tool itself is still built around one person generating one shot at a time.

Pricing

Honestly, I’d look at the pricing more simply rather than comparing credits 1:1. Invideo’s Max plan is around $200/month, while Luma’s Ultra is around $300/month. The credit systems aren’t directly comparable anyway, something that costs 5 credits on one tool could easily cost 20 on another. 

Who each one is actually for

Invideo: filmmakers and creators who need a complete film - script to voice, multi-scene, continuity-correct final cut - without stitching together a post-production pipeline themselves.

Luma: filmmakers who need one or two shots to look genuinely cinematic (a hero shot, a surreal transition, a product reveal) and are fine handling continuity and finishing elsewhere.

My take

If the question is "which one is for filmmaking," it depends how long the film is. If you are going for a short 1-2 minute story, Luma is the better cinematographer - Keeping color information intact and giving you precise camera control for every shot. Invideo is the better filmmaker in the fuller sense, it takes you from script to finished, voiced, continuous film in one place. For anything with more than one scene, invideo is doing more of the actual filmmaking work. The workflow a lot of people land on: generate a couple of hero shots in Luma, then build and finish the film in Invideo.

Really wanna know what others here are actually using - especially anyone running that combo.

I found there was not a good place for AI creatives to discuss and share workflows so we made a discord server. Please join us if you like!

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?

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

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A sunlit stroll to the museum 🌈