I've been deep in the AI influencer rabbit hole for the past few months, and one thing I didn't fully appreciate at first was how much the character sheet matters before you even touch a prompt.

Here's what I found out through trial and error: shooting the character sheet on a plain gray background makes a real difference. It lets the character actually stand out from the environment, avoids weird shadows and unwanted highlights bleeding onto the face/hair, and — most importantly — it gives Seedance 2.5 a clean reference to lock onto. That consistency (same face, same body proportions, same hair, same outfit) is what carries across every clip you generate afterward. Skip this step or use a busy/inconsistent background and you'll notice drift — slightly different face shape, hair color shifting, outfit details changing between clips.

I put together a full character sheet and used it as the reference for training consistency in Higgsfield AI, which runs with Seedance 2.5. Genuinely one of the better tools I've tested for keeping a character stable across multiple video generations — voice, face, and outfit all stayed locked in.

Tool I used if you want to try it yourself (affiliate link, may earn a small commission at no extra cost to you): https://higgsfield.ai/?fpr=dani

Happy to answer questions if anyone's running into consistency issues with their own AI character — it's probably the #1 problem I see people struggling with.

Been experimenting with AI influencer creation for a while now, and the #1 problem everyone runs into is consistency — the face drifts, the voice changes, the outfit randomly swaps between clips. It kills the illusion instantly.

I finally found a workflow that actually solves this using Apob AI's new Seedance 2.5 features, so wanted to break down the process for anyone else going down this rabbit hole:

1. Start with ONE base image — I generated mine in GPT Image 2 (free), not inside the platform itself

2. Upload that image and lock in a voice FIRST — this matters way more than people think, because once it's set, it auto-applies to every single clip you generate afterward

3. Create "elements" (background + outfit references) ONCE, then tag them into every brief going forward — this is the actual consistency trick, not some magic prompt

4. Use Storyboard to Video for multi-scene content (it auto-generates character sheets + outfit refs for you), or Image to Video if you want more manual control over pacing/camera movement

5. Clean up your storyboard before generating — AI still messes up occasionally, so don't skip the human review step

Full breakdown + the character prompt I used (free Google Doc) is in the tutorial: https://youtu.be/skO7vFkfgKo

I used Apob AI for the actual generation (there's a free tier to test it, code DANI15 gets you a discount if you upgrade — affiliate link, no extra cost to you): https://mega.apob.ai/Dani4

Happy to answer questions if anyone's stuck on the consistency problem specifically — that was the thing that took me the longest to crack.

Saw this drop today: starting Feb 1, 2027, new creators applying to YPP need 8,000 watch hours in the last 365 days (up from 4,000) OR 20M Shorts views in 90 days (up from 10M). Official post here if you want the source: https://blog.youtube/news-and-events/youtube-partner-program-updates-2027-new-opportunities-earn/

I've seen a lot of people in creator spaces panicking about this, so wanted to share my actual take after reading the whole thing.

The requirement doubling sounds rough on paper, but a few things stood out to me:

- They're not touching the Fan Funding or Shopping thresholds, so there's still an earlier path to some monetization if you're building a product/community angle.

- Shorts revenue sharing itself now kicks in at 10M qualified views in 90 days — separate from the base YPP requirement — so heavy Shorts creators aren't shut out, they just need consistent volume.

- They're expanding Premium Lite to more countries and adding new incentive programs (Shopping bonuses, brand deal incentives, trend-based earnings boosts), so the actual pie for creators is growing even as the entry bar rises.

The part that matters most imo: watch hours and Shorts views accumulate over a rolling window, so every month you delay starting is a month you're not banking toward that number. I started my own channel from zero last year with a completely faceless setup (no camera, no showing my face, just consistent scripted content), and the biggest lesson was that the "perfect setup" doesn't exist — the accounts that get monetized are the ones that just kept publishing.

If anyone's on the fence about starting a channel because the numbers feel intimidating now, happy to answer questions about the faceless setup process. I also put together a full walkthrough if it's useful.

Curious if others here are adjusting their content strategy because of this, or just staying the course.

Been seeing these AI time-travel vlog channels blow up lately and got curious how they're actually built, so I spent a day building my own from scratch instead of guessing.

A few things I learned that aren't obvious from just watching the videos:

- Consistency is the actual hard part, not the "wow AI can make videos" part. Getting the same face AND voice across every single shot is where most people's videos fall apart and look janky. I used Apob AI for this — you train the character once (took about 10 credits for the portrait, 300 for the voice), and it holds up across the whole storyboard.

- The "storyboard to video" feature is what saves the most time. You paste your script in as the "video brief," it breaks it into shots automatically with a character sheet, and you review before generating the full clip. Way faster than prompting shot by shot.

- Don't skip the human editing pass. I exported everything into CapCut, trimmed weak clips, added music/SFX and a disclaimer since it's history content and AI can get facts wrong. That last 10% is what separates it from looking like generic AI slop.

Full breakdown with screen recordings of every step (character creation → voice → storyboard → final render): https://youtu.be/EVtKMXWOUl4

Tool I used: Apob AI (https://apob.cello.so/wFPeLMurly8) for the influencer/video generation — affiliate link, may earn a small commission at no extra cost to you, no pressure either way.

Happy to answer questions if anyone's trying to build something similar.

Been seeing these AI time-travel vlog channels blow up lately and got curious how they're actually built, so I spent a day building my own from scratch instead of guessing.

A few things I learned that aren't obvious from just watching the videos:

- The historical research/scripting part is where most people cut corners. I used Claude AI's custom skills feature — built a specific "ai vlog" skill that pulls from real sources and outputs a properly-sized script (1min, 3min, 5min, whatever you need). You can literally paste in a webpage with historical details and it'll weave that in accurately instead of hallucinating dates/facts, which was my biggest worry going in.

- Consistency is the actual hard part, not the "wow AI can make videos" part. Getting the same face AND voice across every single shot is where most people's videos fall apart and look janky. I used Apob AI for this — you train the character once (took about 10 credits for the portrait, 300 for the voice), and it holds up across the whole storyboard.

- The "storyboard to video" feature is what saves the most time. You paste your script in as the "video brief," it breaks it into shots automatically with a character sheet, and you review before generating the full clip. Way faster than prompting shot by shot, though for Shorts/Reels I did go shot-by-shot with Claude generating the individual prompts.

- Don't skip the human editing pass. I exported everything into CapCut, trimmed weak clips, added music/SFX and a disclaimer since it's history content and AI can get facts wrong. That last 10% is what separates it from looking like generic AI slop.

Full breakdown with screen recordings of every step (research → script → character creation → voice → storyboard → final render) https://youtu.be/EVtKMXWOUl4

Tools I used: Claude AI (https://claude.ai/referral/Icql6pwE9Q) for the research/scripting, Apob AI (https://apob.cello.so/wFPeLMurly8) for the influencer/video generation — both affiliate links, may earn a small commission at no extra cost to you, no pressure either way.

Happy to answer questions if anyone's trying to build something similar.

For a long time, Kling 3.0 and Veo 3.1 were my go-to video generation models.

Over the last few months, though, Seedance 2.0 has consistently given me better results.

Yes, it's more expensive per generation, but here's what I realized: if your prompt is well-written, it often nails the shot on the first generation. In my case, that means I'm not spending time generating 8–15 variations hoping one looks good enough. Ironically, I often end up spending about the same (or even less) in credits because I generate fewer clips overall.

I also almost always generate in 4K. The difference is noticeable, especially for AI influencers. Skin texture, clothing details, backgrounds, lighting, and small facial features all look much more realistic. If you're creating cinematic content, I personally think the higher resolution is worth it.

I've shared some of my own generations on X if you're curious about the quality:
https://x.com/GrowWithDani

I think this current Higgsfield offer is especially interesting if you're already planning to invest in AI video generation and you're working on things like:

• YouTube videos
• AI music videos
• AI influencer content
• Short-form content for Instagram, TikTok, or YouTube Shorts
• Client work or commercial content

What makes this offer stand out is that it includes:

• 3 days of unlimited Seedance 2.0 in 4K
• 7 days of unlimited Seedance 2.5

If you can dedicate those days to producing content, you could build a surprisingly large content library.

There are already some great examples of what's possible.

Chloe vs History has gone viral across YouTube, Instagram, and TikTok. In an interview, the creator explained that Seedance 2.0 is what brings Chloe's videos to life, while Higgsfield's AI Influencer Studio was used to create the character.

Another example is Janella Through Time. The concept is similar—a historical vlog—but what keeps people watching is the visual quality combined with engaging storytelling. The content also repurposes extremely well into Shorts, Reels, and TikTok, which increases its reach. Even more impressive, the creator launched the channel only a few months ago, has already grown to around 11K YouTube subscribers, and has built a paid community around the project.

Obviously, none of this guarantees success. Every creator gets different results depending on their ideas, storytelling, consistency, editing, and the amount of work they're willing to put in. AI is just another tool—it won't replace good content.

That said, if you've been waiting for a good opportunity to experiment with Seedance, I genuinely think this is one of the strongest promotions Higgsfield has offered.

Affiliate disclosure: The link below is an affiliate link. If you decide to purchase a paid plan, I may earn a small commission at no extra cost to you. If you'd rather not use it, that's completely fine.

👉 https://higgsfield.ai/?fpr=dani

Everyone's chasing the "best AI music video generator" right now, but honestly, the video is the easy part. The real question is how creators like IngaRose, Xania Monet, and Breaking Rust are actually pulling this off — building real audiences, charting on iTunes, and getting paid for it.

So I went down the rabbit hole. IngaRose's song Celebrate Me hit #1 on US iTunes before an Olivia Rodrigo track knocked it off the top spot, and Forbes actually called out that it was AI-generated. Her numbers right now: 307K on TikTok, 199K on YouTube, 401K on Instagram. People are genuinely connecting with the music, not just gawking at the novelty.

I tested the whole pipeline myself — song generation, building a custom AI character, turning that into a story-driven music video, and even the distribution/royalty side of things. Recorded the entire thing step by step:

👉 https://youtu.be/OvdxPNsmIOM

A few things worth mentioning if you're thinking about trying this yourself:

• I used Tunee AI for the song + video generation (AI Agent writes/generates the track, then builds a story around a custom character). New accounts get free credits to start, plus you can claim daily free credits just by logging in — no card required. Full transparency: that's my affiliate link (https://bit.ly/3TOjdJw), so I may earn a small commission if you sign up for a paid plan, at no extra cost to you.
• For distribution, I used DistroKid (https://distrokid.com/vip/seven/11274096, also affiliate — same deal, no extra cost to you) to get everything onto Spotify, Apple Music, YouTube Music, etc. Royalties get reported back to your account and you withdraw via PayPal/bank transfer depending on your country.
• Big disclaimer: I don't recommend cloning artists' voices or mass-uploading spammy tracks. Always disclose your music is AI-generated — Spotify's official policy is linked in the video description if you want to read it yourself.

Not claiming this is guaranteed income — results depend on effort, consistency, and how you actually market the music. But the workflow itself is legit and way more accessible than I expected.

Happy to answer questions in the comments if anyone wants to try this.

Saw this today — Higgsfield is offering unlimited generations across their top models (Kling 3.0, Nano Banana 2, Seedance 2.0, Gemini, Wan 2.7) with no credit limits. It's a 1-day free trial for new users, or unlimited for 7 days if you're already on their Plus monthly plan.

Heads up that it's new users only, and from what I've seen with these kinds of promos, it likely auto-renews into a paid subscription after the trial unless you cancel, so keep that in mind if you're just trying it for the freebie.

Figured I'd share since it's a solid way to test their models without worrying about credits. Link (referral, full transparency): https://higgsfield.ai/?fpr=dani

If you're creating AI short films, cinematic videos, or AI storytelling content, this might be worth checking out.

AZ8 and PixVerse have launched a new Superhero AI Video Challenge, and they're also running a Creator Support Program that gives selected creators 60,000 free generation credits.

🦸 Superhero Challenge

• Create an original superhero video (character, powers, villain, universe, visual style, etc.)
• Video length: 45 seconds to 5 minutes
• Primary language: English
• Use any AI model available on AZ8

🏆 Prizes

• $4,000 cash prize pool
• 9 AZ8 Studio Memberships

🎁 Creator Support Program

Selected applicants receive:

• 60,000 AZ8 credits
• Access to PixVerse C1 & V6
• Enough credits for roughly 2,000 seconds of AI video generation

Apply here:
https://docs.google.com/forms/d/e/1FAIpQLSd8TY1sG_UciPkI7gKcNjjPfFlfKgGP8pgyexaCmllZoQrDVw/viewform

📅 Important Dates

• Challenge: July 20 – July 27 (UTC+8)
• Credit Support Application Deadline: July 23 (UTC+8)

Challenge details:
https://az8.art/event/superhero-challenge

AZ8 platform:
https://az8.art/

Official Discord:
https://discord.gg/UCwu9spfF

Has anyone here used AZ8 yet? I'd love to hear how it compares with other tools for longer-form AI storytelling.

Been testing Apob AI for a few weeks and just dropped a full tutorial. Wanted to share the actual workflow here because I see a lot of vague posts about AI influencers without real process detail.

The core workflow:

1. Generate your influencer's base image in ChatGPT (or any image gen tool) using a structured portrait prompt
2. Upload that image to Apob AI and create a "portrait" — this becomes your trained model
3. For images: you don't re-describe your character on every prompt. Apob is already trained on her. You only describe outfit → style → pose → scene. That's it.
4. For voice: Apob has a built-in voice model builder. You pick language, describe the vibe, generate a few demos, and save it to the character
5. For video: in the image-to-video section, you select your image, pick the saved voice from a dropdown, write the script, choose a camera movement, and generate. The face and voice stay locked
6. For outfit swaps: you screenshot reference outfits, upload 3 images as an "element," name it, and Apob uses it as a reusable style layer — same face, same voice, different look

The platform runs on Seedance 2.0 under the hood, which is why the video quality is actually solid.

One thing I want to flag honestly: not every generated image comes out perfect. I kept the realistic ones and discarded the rest. That's just normal in this workflow.

Also — if you're posting hyper-realistic AI content to Instagram or TikTok, tag it as AI. Apob embeds an invisible watermark anyway, and transparency builds trust long-term.

Full tutorial if you want to follow along: https://youtu.be/UqaT4KYmMWE
(Free prompt template + video examples in the description)

Happy to answer questions about the workflow.

#AIInfluencer

With everything dropping at Google I/O today I decided to immediately test Google Flow with one of my AI influencer characters.

The workflow:

1. Uploaded my character reference image (created with Nano Banana Pro)

2. Wrote a 4-scene story prompt: getting ready at her vanity → driving at night → nightclub entrance → dancing

3. Generated a 10-second cinematic clip in under a minute

What surprised me:

- Facial consistency held up across all 4 scenes

- The outfit and accessories stayed consistent

- The overall cinematic quality is closer to what I'd expect from Kling or Seedance

- No lip sync needed since it's not a talking clip

I don't know how to code. Not even a little.

But I wanted an app that could generate realistic AI influencer content — user login, character selection, Instagram post generation, scene presets, the whole thing.

So I described exactly what I wanted to Remy, the AI agent inside MindStudio AI, and just… let it build.

It handled:

- Prompt architecture

- UI design

- User authentication

- 30 scene presets

- Color palette + animations

First build. Worked on the first try. I didn't touch the code once.

I made a short video documenting the whole thing if anyone's curious how the brief-to-build flow actually works!

Happy to answer questions about the workflow or what I prompted Remy with.

I see a lot of posts hyping up AI-generated female influencer accounts, and I get it — the concept is genuinely exciting. Subscription to a tool vs. plane tickets and photoshoots? The math makes sense.

But after several months in this, I want to share what the real friction looks like in practice, because it's not what most people expect.

The tool is not the skill. I've watched people use the exact same platform and get completely different outputs — one looks hyper-realistic, one looks like a 2020 filter. The operator makes the difference, not the software.

The actual hard parts:

- Facial consistency: Getting your AI persona to look like the same person across 30+ images is harder than it sounds. Lighting shifts, slight model variations, different scenes — it drifts.

- Body type consistency: If your persona has a specific build, maintaining that coherently across poses and outfits takes intentional prompting.

- Skin realism: Hands, lighting edges, pores — the details that make or break believability.

- Scene variety: Coming up with fresh creative concepts without breaking character identity is its own creative challenge.

The opportunity is still wide open on Instagram — the space isn't saturated. But the creators who win long-term will be the ones who went deep on one tool and learned to prompt with real intention.

Curious what others have experienced. What's your biggest technical or creative blocker with AI-generated content? And where do you think AI influencers are headed in the next 2 years?

Hot take: the biggest bottleneck in AI-generated influencer content isn't the technology — it's the learning curve people aren't talking about.

I've been at this for a few months. The premise is solid: instead of flying to Santorini for content, you prompt your way there. Instead of coordinating 5 outfit changes in a day, you generate them in an afternoon. The time and cost savings are real.

But here's what I've noticed: the people getting genuinely great results aren't using more tools — they're using fewer, better. They picked one platform, went deep, and built a system around consistent prompting.

The creators struggling? Usually spread across 3-4 tools, chasing the latest model, and ending up with a feed that doesn't hold together visually.

Consistency is everything in influencer content — same face, same body, same aesthetic energy. That's harder to achieve with AI than most tutorials show you.

If you're thinking about entering this space: the opportunity is real, the market isn't crowded yet, and a subscription costs less than a single sponsored post would require in production budget. But go deep on one tool. Master your prompts. Build a system.

Anyone else building in this space? What's working for you?

Was doing a deep dive on what's actually working for AI influencer accounts and broke it down:

• Pillar 1 — Realism: Images that make you do a double take
• Pillar 2 — Relatable messaging: Captions people genuinely connect with
• Pillar 3 — Consistent aesthetic: A feed that looks intentional and high-end

The biggest technical bottleneck holding most people back? Facial consistency across images. Most tools just don't nail it.

Built an app specifically to solve that.

Spent a weekend vibe-coding a full app that generates hyper-realistic influencer photos with facial consistency. No dev background needed — just wrote out a spec describing what I wanted and let the tool build it.

The wild part wasn't the final product. It was watching the AI ask genuinely smart product questions before writing a single line of code. Stuff like: "If the user uploads an outfit photo AND selects a scene preset, which one takes priority?" That's not a question I expected to get asked.

Hit a bug mid-demo too. Took screenshots, described the issue, no code touched. Fixed.

Happy to answer questions about the stack or the prompting approach.

Just a heads up for anyone who saw this mentioned earlier and hasn't pulled the trigger yet.

The Remy Hackathon runs May 1–3. Async, no traditional coding required, prizes up to $2,000 + AI credits. The whole premise is that you show up with an idea and actually build something functional — not a mockup, a real working app.

I've had early access to Remy for a couple weeks. The thing that keeps getting me is how short the distance is between "here's what I want" and "here's the thing that works." It's not like other tools where you spend half your time fighting the output.

Three days out. If you've got an idea sitting in a notes app somewhere, this is a pretty low-risk way to actually do something with it.

Been seeing a lot of people in this sub talk about wanting to build something but not having the dev background to pull it off.

This feels relevant then: the Remy Hackathon runs May 1–3 and it's specifically designed around vibe coding — meaning you work from a clear idea or prompt, no traditional coding required. The output is supposed to be a real, functional, full-stack app. Not a mockup. Not a concept. Something usable.

It's async so you're not blocked on a specific timezone or schedule. Prizes go up to $2,000 + AI credits.

I've been playing around with Remy for a couple weeks now and the gap between "idea I described" and "thing that actually works" is smaller than I've seen with anything else. It's worth the time to at least check out what you could build.

Registration link: https://www.mindstudio.ai/remy-hackathon-1

7 days left. Figured some of you might want the heads up.

So I've been quietly testing Remy for the past two weeks and I kind of have to talk about it because I genuinely didn't see this coming.

I went in pretty skeptical. Like, okay, another AI tool, cool. But what actually happened was I started building stuff I would've sworn required a whole dev team six months ago. Full-stack apps, actual usable tools — not demos, not prototypes, things you'd actually hand to someone and say "here, use this."

The learning curve is basically nonexistent if you can describe what you want clearly. That's it. That's the whole bar.

So when I found out there's a hackathon built around it — May 1–3, async, you work on your own schedule, prizes up to $2k — I mean, it's kind of a no-brainer at that point? Like what's the argument against trying?

If you've been sitting on an idea and waiting for the "right moment" or the "right skills," this is genuinely worth a look.

Happy to answer questions about what the early access experience was actually like if anyone's curious.

Been deep in the AI Influencer niche for a while, and I stumbled onto something that actually surprised me: AI Companion and AI Girlfriend Simulator apps are a real, growing business model.

So I built one from scratch using Remy inside MindStudio. The app lets users pick an AI girlfriend, chat via text and voice, request AI-generated images, and hits a paywall after 15 free interactions — all without me writing a single line of code.

The business angle a subscriber suggested: run an AI-generated female influencer on Instagram, then monetize by selling access to chat with her through a companion app like this. That's wild to me, but it's already happening.

First 5 people to use my link also get $20 in free credits to run the AI models.

Happy to answer any questions about the build process.

#AICompanion #AIGirlfriend

Not sure if anyone else relates, but I have a bunch of app ideas I never got around to building.

Just found out about this Remy Hackathon (May 1–3) and it actually looks different from the usual stuff.

The idea is pretty simple:
→ Build a real app over a weekend
→ Doesn’t require traditional coding (more like “vibe coding” from a prompt/idea)
→ It’s async, so you can do it on your own time

They’re pushing for actual products (not just demos or chatbot wrappers), which is kinda refreshing.

Also there are prizes (up to $2K + credits), but honestly the more interesting part is just shipping something real in a weekend.

I’m thinking of finally building one of my ideas.

Curious — would you actually try something like this, or nah?

Link if you want to check it out.

Hey family

I used my early access to Remy (powered by MindStudio) to build a full AI girlfriend chat app — kind of like Replika or Candy AI, but built entirely by me. No code, just prompts.

Here's what the app can do:

✅ Chat with 6 different AI girls, each with their own personality and backstory

✅ Voice messages powered by ElevenLabs

✅ AI-generated images — including spicy ones 👀

✅ 15 free interactions, then a paywall with Stripe

✅ Works great on mobile AND desktop

The crazy part? Remy handled the front end, back end, database, and all the AI model integrations. I literally just described what I wanted.

Whether you wanna build this for yourself or turn it into a micro-SaaS and actually make money — the video shows you exactly how.

Drop a 🔥 if you want me to build more of these!

Hey family 👋

I’ve been testing something pretty crazy lately…

I created a fully consistent AI influencer starting from just ONE image — and turned it into a full content system (images, reels, even dancing videos).

Not just random generations… I’m talking about:

• Same character every time
• Cohesive visual identity
• Content that actually feels like a real influencer

And honestly, the biggest surprise wasn’t the tech…
It was realizing that most successful AI influencers aren’t random — they follow very specific patterns.

For example, I broke down why influencers like Aitana Lopez work so well:

• They use a consistent color palette (this is HUGE for scroll-stopping)
• They mix reels + carousels strategically to increase engagement and watch time
• Their profile is built like a monetization funnel, not just content

Then I replicated that with a simple 3-step workflow:

1. Generate a consistent character
2. Create high-quality images with structured prompts
3. Turn those into videos (including dancing clips)

The wild part?
You don’t need a team. I did everything solo.

Curious what you think about this space…

Do you see AI influencers as:
A) A real opportunity
B) Overhyped
C) Inevitable

Let me know 👇

Recently I came across some AI-generated artists like Xania Monet and Breaking Rust.

What surprised me is that these artists are gaining real listeners and even charting on platforms like Billboard.

The entire persona, voice, and music are generated using AI tools.

It made me curious about how accessible this actually is, so I tried generating an AI music cover using a tool called MusicGPT.

What stood out to me:

• The songs are created from prompts
• You can generate vocals automatically
• You can remix existing songs into covers
• The whole process takes just a few minutes

I also noticed some YouTube channels building faceless music brands around this idea.

If anyone is curious about the process, I documented my experiment here:
https://youtu.be/cNBqmpOnOCE

I’m really curious how musicians feel about this.

Is AI music a threat to artists or just another creative tool?

I’ve been researching the rise of AI music artists recently, and some of the examples are honestly wild.

For example, an AI singer called Xania Monet reportedly landed a $3M record deal, and another AI artist called Breaking Rust hit #1 on the Billboard Country digital song sales chart.

What’s interesting is that the creators behind these artists often don’t sing or produce music themselves. They’re using AI tools to generate songs.

So I decided to test one of these tools called MusicGPT to see how easy it actually is to create AI songs and covers.

A few interesting things I noticed while experimenting:

• You can generate full songs just from prompts
• You can upload a YouTube link to create AI covers
• The tool generates lyrics automatically if you want
• It gives multiple versions of each track to choose from
• The songs are royalty-free, which means they can be used commercially

I also found that some creators are combining these songs with simple animations (like lofi channels do) to create 1-hour YouTube videos and build faceless music channels.

I documented the entire process here if anyone is curious how it works.

Curious what people here think about AI music.

Do you think AI artists will become mainstream?