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A Practical Guide to AI Image & Video Generation in 2026

A Practical Guide to AI Image & Video Generation in 2026

Generative AI is now a normal part of many creators’ workflows. In 2026, the practical question is not whether AI can make a picture, but which model and settings give you the right result fastest.

This guide covers how to pick an image or video model, control quality and resolution, and build a simple workflow for social content.

Choose your model by job type

Different models excel at different tasks. On imgmov you can switch between multiple engines in one interface:

ModelBest forCredit cost
Agnes Image 2.1Fast drafts, concept art0
cogview-3-flashQuick image ideas0
Seedream 4.5Photorealistic images2
Nano-Banana 2Artistic, stylized images2
Agnes Video V2Short motion clips0
CogVideoX-FlashImage-to-video motion0
HappyHorseCreative stylized video3
Video-01-LiveLive-action-style video4
Kling v3Smooth cinematic motion5
Hailuo 2.3Dramatic, cinematic scenes5
Veo 3.1Highest-end video quality8

A simple image-to-video workflow

  1. Generate a seed image with a photorealistic model such as Seedream 4.5 or a free model like Agnes Image 2.1.
  2. Lock the style: save the prompt, aspect ratio, and model that worked best.
  3. Add motion: upload the seed image to a video model such as Kling v3 or Veo 3.1 and describe the camera movement.
  4. Export in the right size: choose 9:16 for reels, 16:9 for YouTube, 1:1 for feeds.

Resolution and quality settings

  • 1K: fast previews and web assets.
  • 2K: crisp social posts (+1 credit).
  • 4K: print-ready or large displays (+3 credits; Pro plan).

Quality tiers:

  • Standard: fast, good enough for most drafts.
  • Medium: more detail (+1 credit).
  • High: maximum detail (+2 credits).

Video clips can be generated at 4 seconds or 8 seconds depending on the model and your needs.

Prompt tips that actually help

  • Lead with the subject, then the environment, then lighting and camera terms.
  • Example: “A serene Japanese garden at golden hour, koi pond, stone lanterns, cherry blossoms falling, soft cinematic lighting, photorealistic.”
  • Use AI Polish in imgmov to rewrite a rough prompt into a stronger version.
  • Keep a short list of prompts that repeatedly produce good results.

Start with examples

If you do not know where to start, browse the imgmov gallery and remix any post you like. Remix copies the prompt and reference image into the generator so you can build on it immediately.

Generate your first image or video

imgmov vs Midjourney: Which AI Image Generator is Right for You?

imgmov vs Midjourney: Which AI Image Generator is Right for You?

Midjourney is one of the best-known names in AI image generation. It produces beautiful, artistic images through Discord or its web interface. But if you are a freelance content creator or social media manager who needs both images and videos, works under deadlines, and often feels stuck staring at a blank prompt box, imgmov is built differently.

Here is an honest side-by-side comparison.

Feature comparison

FeatureimgmovMidjourney
Starting pointBrowse and remix from a public community galleryType a prompt from scratch
Output typesAI images and AI videosAI images only
Models in one interfaceSeedream, Kling, Veo, and free Agnes / CogVideoX modelsMidjourney models only
Free tier3 daily credits + free models at 0 creditsLimited free generations
PricingStarter $9.99/mo, Pro $19.99/mo, 10-credit pack $9.99Plans start at $10/month
Prompt helpAI Polish rewrites promptsManual prompting
Reference imagesUse gallery posts or upload your ownUpload + reference options
Resolution1K, 2K, 4K on ProUp to ~4K depending on plan
Video duration4s and 8sNot supported

When Midjourney wins

  • You want a single, highly polished artistic style.
  • You only need still images and are comfortable writing detailed prompts.
  • You already use Discord or the Midjourney web app daily.

When imgmov wins

  • You need images and short videos in the same workflow.
  • You like starting from real examples rather than a blank canvas.
  • You want to switch models based on the job — photorealistic Seedream, cinematic Kling or Veo, fast free models for drafts.
  • You want a built-in prompt helper and one-click remixing from the gallery.

How imgmov is priced

  • Starter: $9.99/month — for freelancers producing client-ready AI visuals on a budget.
  • Pro: $19.99/month — 3x the credits, priority queue, premium models, and 4K resolution.
  • 10 Credits Pack: $9.99 one-time — never expires; great for trying premium models.

Logged-in users also receive 3 free credits per day, and several image/video models are completely free to use.

Try both and decide

If you already love Midjourney, keep it for mood boards and hero art. Use imgmov when you need speed, variety, and video output from a single interface.

Start free on imgmov · See pricing

How I Built & Grew CoverLetterGPT to 5,000 Users and $200 MRR

Hey, I’m Vince…

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I’m a self-taught developer that changed careers during the Covid Pandemic. I did it because I wanted a better career, enjoyed programming, and at the same time, had a keen interest in IndieHacking.

If you’re not aware, IndieHacking is the movement of developers who build potentially profitable side-projects in their spare time. And there are some very successful examples of IndieHackers and “solopreneurs” out there inspiring others, such as levels.io and Marc Lou.

This thought of being able to build my own side-project that could generate profit while I slept was always attractive to me.

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So I’m happy to report that I’ve finally done it with my first software-as-a-service (SaaS) app, CoverLetterGPT.xyz, which I launched in March 2023!

I’ll be the first to admit that the results aren’t spectacular, but they’re still something I’m very proud of:

  • over 5,000 registered users
  • $203 monthly recurring revenue (MRR)

Below, I’m going to share with you how I built it (yes, it’s open-source!), how I marketed and monetized it, along with a bunch of helpful resources to help you build your own profitable side-project.

What the heck is CoverLetterGPT?

CoverLetterGPT.xyz was an idea I got after the OpenAI API was released. It’s an app that allows you to upload a PDF of your CV/resumé, along with the job description you’re applying to, and it will generate and edit unique cover letters for you based on this information.

{% embed https://youtu.be/ZhcFRD9cVrI %}

It also lets you save and manage your cover letters per each job, making it easy to make and apply to multiple jobs without having to keep copy and pasting all your important info into ChatGPT!

What’s the Tech Stack?

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CoverLetterGPT is entirely open-source, so you can check out the code, fork it, learn from it, make your own, submit a PR (I’d love you forever if you did 🙂)… whatever!

I built it using the Wasp full-stack framework which allowed me to ship it about 10x faster.

Why?

Because Wasp as a framework allows you to describe your app’s core features in a main.wasp config file. Then it continually compiles and “glues” these features into a React-ExpressJS-Prisma full-stack app for you.

All you have to focus on is writing the client and server-side logic, and Wasp will do the boring stuff for you, like authentication & authorization, server config, email sending, and cron jobs.

BTW, Wasp is open-source and free and you can help the project out a ton by starring the repo on GitHub: https://www.github.com/wasp-lang/wasp 🙏

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{% cta https://www.github.com/wasp-lang/wasp %} ⭐️ Thanks For Your Support 🙏 {% endcta %}

For the UI, I used Chakra UI, as I always do. I like that it’s a component-based UI library. This helps me build UI’s a lot faster than I would with Tailwind or vanilla CSS.

For payments, I used Stripe, (I’ll go into the details of monetization below).

The Server and Postgres Database are hosted on https://railway.app, with the client on Netlify.com’s free tier.

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By the way, If you’re interested in building your own SaaS with almost the same stack as above, I also built a free SaaS template you can use that will save you days of work!

How I Marketed It

My biggest take-away from this whole project was that open-sourcing it was the best way to market it!

This seems counter-intuitive, right? Why would making the code available for anyone to see and copy be good for a business? You’re basically rolling out a red carpet for competitors, aren’t you?

Well, not quite.

First of all, the number of people who will realistically spend the time and energy launching a direct competitor is low. Also, most people interested in your open-source code want to learn some aspect of it and apply it to their own ideas, not just copy yours directly.

Secondly, and most importantly, the fact that it’s open-source makes people a lot more receptive to you talking about it.

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When you present something you’ve built and give people the opportunity to learn from it, they’re much more welcoming! As a result, they’re more likely to upvote it, share it, use it, and recommend it to others.

This is exactly what happened with CoverLetterGPT! As a result of me sharing the open-source code, it get featured on the IndieHackers.com newsletter (>100k subscribers), shared on blogs, and talked about on social media platforms.

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And even though it’s a small, simple product, I tried launching it on Product Hunt, where it also performed considerably well.

So, all together, these initial efforts combined gave my product a good initial marketing presence. To this day, I haven’t really done much else to market it, except some twitter posts (and this post, if you want to consider it marketing 🤑).

How I Monetized It

When I first launched in March 2023, I didn’t really expect anyone to pay for the product, but I wanted to learn how to use Stripe as a payments processor, thinking that the skills might be useful in the future.

So I started simple, and just put a one-time payment link for tips. No paywall, no subscriptions. It was entirely free to use with any tip amount welcome.

To my surprise, tips started coming in, with some as high as $10 dollars!

This encouraged me to force users to login to use the product, and add a paywall after users used up 3 credits.

My initial payment options were:

  • $4.95 for a 3 months access
  • $2.95 for 10 cover letter generations

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That went reasonably well until I implemented the ability for users to use GPT to make finer edits to their generated cover letters. That’s when I changed my pricing and that’s when better profits started to come in:

  • $5.95 / month subscription with GPT-4
  • $2.95 / month subscription with GPT-3.5-turbo

Currently, over 90% of my customers choose the more powerful, more expensive plan with GPT-4, even though the 3 trial credits use the GPT-3.5-turbo model.

(I also integrated Bitcoin Lightning payments — check out the repo if you want to learn how — but haven’t received any yet.)

Now, with an MRR of ~$203, my monthly profit of course depends on my costs, which are:

  • Domain Name: $10/year
  • OpenAI bill: ~ $15/month
  • Hosting bill: ~ $3/month

Which leaves me at about ~ $183/month in profits 😀

Future Plans

One of the most surprising aspects about CoverLetterGPT.xyz’s success is that, on the surface, the product is very simple. Also, I’ve done very little in the way of SEO marketing, and haven’t continued to market it much at all. The current growth is mostly organic at this point thanks to my initial marketing efforts.

But I still have some plans to make it better:

  • buy a better top-level domain (TLD), like CoverLetterGPT.ai
  • add more features, like the ability to generate interview questions based on the cover letters
  • improve the UX and make it look more “professional”

If you have any other ideas how I could improve it, drop me a comment, message me on twitter/x, or submit a PR to the repo.

Final Words + More Resources

My intention with this article was to help others who might be considering launching their own SaaS product. So I hope that’s been the case here. If you still have any questions, don’t hesitate to ask.

Here are also the most important links from this article along with some further resources that will help in building and marketing your own profitable side-project:

Oh, and if you found these resources useful, don’t forget to support Wasp by starring the repo on GitHub!

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{% cta https://www.github.com/wasp-lang/wasp %} ⭐️ Thanks For Your Support 🙏 {% endcta %}