Disclosure
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The cheapest AI image costs $0.005. The most expensive costs $0.24. Same prompt, same resolution, same 2026. The model you pick decides whether a 1,000-image batch costs $5 or $240.
I run an AI stock photo pipeline. I burn through a few thousand generations a month across Nano Banana, Seedream, Recraft, Ideogram, and a couple of others. So I’ve spent real money testing every model that matters, and I’ve watched my bill swing wildly based on routing choices that take two minutes to get wrong.
This guide is the short version: the 9 AI image generators worth your attention in 2026, what each one costs per image, what it’s actually good at, and the three I reach for 90% of the time.
What is the best AI image generator in 2026? There isn’t one. FLUX and Nano Banana Pro lead on photorealism, Midjourney leads on artistic style, Recraft V4 leads on vectors and typography, and Seedream 4.5 is the cost leader for no-people stock photos at around $0.03 per image. Pick by use case, not by hype.
TLDR: The Price Comparison at a Glance
This is the price-per-image table I wish I’d had when I started. All prices are for a standard 1024 to 1 megapixel output, billed via the most common route for each model (direct API or a competitive aggregator like fal.ai or kie.ai).
| Model | Cheapest route | Price per image | Best for |
|---|---|---|---|
| Seedream 4.5 / 4.0 | Kie.ai (ad) | ~$0.018 (4.0) / ~$0.04 (4.5) | Stock photos without people |
| FLUX 2 Pro | fal.ai | ~$0.03 | Photorealism, commercial use |
| Recraft V4 | fal.ai | $0.04 standard / $0.25 pro | Design, typography, vectors |
| Ideogram V3 | fal.ai | $0.03 turbo / $0.09 quality | Text rendering, logos |
| Nano Banana (Gemini 2.5 Flash Image) | Google API | $0.039 | Fast iteration, cheap bulk |
| Nano Banana 2 (Gemini 3.1 Flash Image) | Google API | $0.067 (1K) / $0.151 (4K) | New flagship Flash tier |
| Nano Banana Pro (Gemini 3 Pro Image) | Kie.ai (ad) | ~$0.09 (2K), $0.12 (4K) | Stock with people, 4K output |
| GPT Image 1.5 | OpenAI API | $0.009 low / $0.034 medium / $0.133 high | Prompt adherence, text |
| Midjourney V7 / V8 | Subscription | ~$0.05 on Basic plan | Artistic work, posters |
| Stable Diffusion 3.5 | Local / Replicate | Free locally, ~$0.003 on Replicate | Budget batches, experimentation |
The spread between the cheapest and most expensive model on this list is roughly 80x. That is not a small decision.
The short version of what each model does best in April 2026: Seedream 4.0 and 4.5 are the price leaders for photorealistic stock photos without people, producing 4K output for under four cents per image via kie.ai. Nano Banana Pro (the codename for Google’s Gemini 3 Pro Image) leads on photorealistic stock with people, especially on hand and face rendering that passes blind reviewer tests. FLUX 2 Pro matches Nano Banana Pro on photorealism at a lower price point of roughly three cents per image on fal.ai. Recraft V4 is the only model that outputs real SVG vectors, making it irreplaceable for Etsy designers and merchandise creators. Ideogram V3 and GPT Image 1.5 lead on text rendering, the weakness that still defeats FLUX, Seedream, and the Nano Banana family about 40% of the time. Midjourney V7 and V8 own the artistic poster segment but bill by subscription rather than per image, which only pays off at high monthly volume.
Table of Contents
- How AI Image Generators Actually Bill You
- The 9 Models That Matter in 2026
- Best Model by Use Case
- Where to Run These Models (API Routes)
- What I Actually Use Every Day
- Prompt Rules That Work Across Every Model
- FAQ
How AI Image Generators Actually Bill You
Before the model-by-model breakdown, understand the three billing models. Confusing them is how people overspend.
1. Per-image flat rate. You pay a fixed price per generation. FLUX, Seedream, Recraft, Ideogram, and the Nano Banana family work this way. Easiest to budget. You know $0.04 per image means a 500-image batch costs $20.
2. Per-token billing. OpenAI’s GPT Image charges you for the tokens that represent the output image. A “low quality” 1024x1024 is about $0.009. A “high quality” 1024x1024 is about $0.133. Same resolution, 15x the cost, because the internal token count is higher. If you don’t set quality explicitly, you’re often paying the medium or high rate by default.
3. Subscription with quota. Midjourney doesn’t sell per-image. You buy a plan ($10 to $120 a month) and get “fast GPU hours” or a relaxed queue. Basic is 3.3 fast GPU hours, roughly 200 images, which works out to about $0.05 each when you use the full quota. Don’t use the quota? You still paid $10. Run out? You either upgrade or wait.
The honest trap with subscription pricing is that it always looks cheap when you’re calculating the best case, and the best case almost never happens. Most creators use between 40 and 60% of their fast quota in a given month, which pushes the real per-image cost on Midjourney Basic closer to $0.08 to $0.12. That matters when you line it up against $0.03 per image on Seedream or $0.018 on Seedream 4.0 via kie.ai. The subscription model wins in exactly one scenario: you use Standard or higher and you lean on unlimited Relax mode, where the marginal cost of each additional image is zero. Below that, per-image API pricing from fal.ai, kie.ai, or Replicate is cheaper almost every time. Do the math on your actual volume before you commit to a plan.
The 9 Models That Matter in 2026
Every model here has been tested on real work, not just demo prompts. I’ve noted the direct API price, the cheapest aggregator route (usually fal.ai or kie.ai, since those undercut direct pricing on most models), and what each one is actually good at.
1. Nano Banana (Google Gemini 2.5 Flash Image)
Price: $0.039 per image (1024px) via Google Gemini API. Around $0.035 to $0.05 on aggregators depending on the route.
Fast, cheap, and very good at instruction-following. Nano Banana is Google’s original image model inside Gemini 2.5 Flash, released in 2024 and still a workhorse in 2026. It won’t match FLUX or Nano Banana Pro on photorealism at 4K, but for bulk iteration and concept work under $0.05 per image, it’s underrated.
Where it wins: fast iteration, cheap exploratory batches, any project where you need 50+ variations quickly.
Where it loses: ultra-sharp stock photography, complex compositions, 4K output. Go to its bigger sibling for that.
2. Nano Banana Pro (Google Gemini 3 Pro Image)
Price: $0.134 per image at 1K to 2K on the Google API, $0.24 per image at 4K. On Kie.ai (ad) it drops to $0.09 per image for 1K to 2K and $0.12 for 4K, which is my preferred route.
Nano Banana Pro, which is the internal codename for Google’s Gemini 3 Pro Image Preview, is the single best model I’ve tested for stock photos with people in April 2026. Lighting on skin looks correct across a range of scenes from indoor office shots to outdoor golden-hour portraits. Hands render with proper finger counts and plausible poses more than 90% of the time, which still separates the current-generation models from the 2023-era ones where every third image had six fingers on one hand. It outputs true 4K natively, which matters for Adobe Stock, where uploads below 4 megapixels get rejected outright on most categories. The default Google API pricing is painful at volume though: $0.24 per 4K image adds up to $24 on a 100-image batch. Via kie.ai the same batch costs $12. Same model, half the price, and the savings compound fast when you run production volume.
Where it wins: photorealistic people, 4K stock photos, complex scenes with multiple elements.
Where it loses: pure graphic design, vectors, anything needing clean flat color.
3. GPT Image 1.5 (OpenAI)
Price: $0.009 low / $0.034 medium / $0.133 high for a 1024x1024 image. GPT Image 1 (the older version) is $0.011 / $0.042 / $0.167 at the same tiers. GPT Image 1 Mini cuts these further: $0.005 / $0.011 / $0.036.
GPT Image 1.5 is what ChatGPT uses under the hood. Its defining skill is prompt adherence: if you say “a golden retriever holding a sign that reads COFFEE BREAK in black block letters,” it actually renders that. Most models still mangle the text or substitute a different breed.
The catch is tier confusion. “Low” quality on a 1024x1024 is cheap and fine for thumbnails. “High” quality is 15x more expensive and sometimes overkill. Most production work lives at Medium.
Where it wins: readable text in images, complex multi-element instructions, editing workflows.
Where it loses: raw photorealism (FLUX and Nano Banana Pro beat it), artistic style (Midjourney beats it).
4. Midjourney V7 / V8
Price: $10 / $30 / $60 / $120 per month. On the $10 Basic plan, 3.3 fast GPU hours yields roughly 200 images, or about $0.05 each at full use. V8 Alpha launched March 2026 with 5x faster generation and native 2K output.
Midjourney remains the artistic quality benchmark. Nothing else consistently produces the painterly, atmospheric, editorial look that Midjourney does out of the box. Posters, book covers, album art, editorial illustrations, that’s Midjourney’s lane.
Two honest criticisms though. One: it’s subscription-locked, so if you don’t use the quota, you’re overpaying. Two: API access is still limited and expensive compared to fal.ai or kie.ai routes for other models. If you want to run 500 images as part of a scripted pipeline, Midjourney is the wrong tool.
Where it wins: artistic style, posters, any project where “aesthetic” matters more than accuracy.
Where it loses: commercial stock (the style is too recognizable), API automation, bulk cheap runs.
5. FLUX 2 Pro (Black Forest Labs)
Price: ~$0.03 per image for FLUX 2 Pro on fal.ai. FLUX 2 Max is $0.073. FLUX 1.1 Pro, now the legacy flagship, is $0.04 on fal.ai and $0.06 for the Ultra variant. Direct via Black Forest Labs API is similar.
FLUX 2 is the current photorealism leader that most working creators actually use. Skin textures, fabric folds, environmental lighting, all at a level that consistently passes blind tests as real photography. FLUX 2 Max pushes further on fidelity; FLUX 2 Pro is the sweet spot on price.
It’s also fast. Generation time is under 5 seconds on fal.ai’s infrastructure. For a stock photography pipeline, speed plus price plus realism is exactly the triangle you want. If you’re still defaulting to FLUX 1.1, it’s time to test the upgrade.
Where it wins: commercial photorealism, products, still-life, architecture, any shot that needs to look real.
Where it loses: artistic styling (Midjourney wins), typography (Recraft and Ideogram win), people with specific expressions (Nano Banana Pro often wins).
6. Recraft V4
Price: $0.04 per image standard on fal.ai, $0.25 per image on the Pro tier. Vectors: $0.08 standard, $0.30 Pro. Recraft V4 is rated #1 on HuggingFace’s image model benchmark for logos and design work.
Recraft V4 is the model to use when text, typography, flat color, or vector output matters, and it’s the only serious choice for any of those jobs in 2026. It renders readable words consistently, exports real SVG paths that open cleanly in Illustrator and Figma, and ships with brand-style controls that pin a color palette across a batch for consistent poster series. For posters, icons, merchandise designs, Etsy vector bundles, and logo-adjacent work, nothing else comes close on output quality. The Pro tier costs roughly six times the standard tier and is worth it for final assets, but it’s overkill for exploration. I use Standard for 90% of drafts and only escalate to Pro when I’m committing to a final design that goes into a listing or client deliverable. That split keeps my average vector cost at around $0.10 per usable file instead of $0.30.
Where it wins: vectors, SVG export, typography, poster design, merchandise.
Where it loses: photorealism (not its job), stock photography with people (wrong tool).
7. Ideogram V3
Price: $0.03 per image on Turbo, $0.06 on Balanced, $0.09 on Quality via fal.ai or kie.ai.
Ideogram V3 is the other text-rendering specialist. Its edge over Recraft is that it handles more layout variety (advertising mockups, social cards, quote graphics) while still keeping typography readable. The three-tier pricing means you can experiment cheaply and only pay Quality-tier rates on the keeper drafts.
Where it wins: editorial typography, quote cards, advertising mockups, layouts with mixed text and photo content.
Where it loses: pure photorealism, vector output (Recraft wins here).
8. Seedream 4.5 / 4.0 (ByteDance)
Price: Seedream 4.0 on kie.ai (ad) is approximately $0.018 per image, the cheapest high-fidelity route on the market. Seedream 4.5 (the newer version) is around $0.04 on fal.ai.
Seedream is ByteDance’s contribution to the race and the price leader for no-people stock photos. Food, products, outdoor scenes, interiors, flat-lay compositions, anything without a human face, Seedream produces commercial-grade 4K output for under $0.04 a shot. On kie.ai, the 4.0 route is closer to two cents per image, which is absurdly cheap for the quality.
Where it struggles: people. Seedream’s face rendering is noticeably behind FLUX 2 and Nano Banana Pro, which is why my default routing rule is “people go to NB Pro, everything else goes to Seedream.”
Where it wins: no-people stock (food, products, outdoor shots, architecture), cheapest 4K route.
Where it loses: portraits, fitness, lifestyle with visible faces.
9. Stable Diffusion 3.5 / FLUX Schnell (Open Source)
Price: free if you run it locally on your own GPU. Around $0.003 to $0.01 per image on Replicate or fal.ai.
The open-source option. Stable Diffusion 3.5 Large and FLUX Schnell (the free variant of FLUX) are the budget backbone of any pipeline where cost matters more than the last 5% of quality. If you have a decent GPU, you run them locally and pay nothing beyond electricity. If you don’t, fal.ai serves them for less than a cent per image.
The quality gap versus the paid leaders has narrowed significantly in 2026, but it’s still real. SD 3.5 looks like a very good amateur photo. FLUX 1.1 Pro looks like a pro shot. For commercial stock where every image competes against thousands, that gap matters.
Where it wins: ultra-budget runs, experimentation, local workflows, developers who want zero per-image cost.
Where it loses: anything commercial where quality is the gatekeeper.
Best Model by Use Case
The “which model is best” question has no universal answer. These are the seven questions that actually produce one.
Best for Photorealistic Stock Photos (No People)
Winner: Seedream 4.0 via Kie.ai (ad) ($0.018 per image) or Seedream 4.5 ($0.04). Cost leader for 4K output without people. Food, products, outdoor scenes, technology shots, interiors. I route roughly 60% of my stock pipeline through Seedream because most of my niches are product-driven.
Runner-up: FLUX 2 Pro (~$0.03). Slightly sharper on architecture and still-life, and now price-competitive with Seedream on fal.ai. Worth testing if your niche is architectural or hero product shots.
Best for Photorealistic Stock Photos (With People)
Winner: Nano Banana Pro via kie.ai ($0.09 per image at 2K). Hands, faces, skin lighting, all at the level where blind reviewers can’t reliably tell it’s AI. Stock categories like healthcare, business lifestyle, and fitness live here because those niches pay the highest royalties.
Runner-up: FLUX 2 Max ($0.073). Close on skin rendering and subsurface scattering, slightly weaker on complex hand poses.
Best for Posters and Art Prints
Winner: Recraft V4 Standard ($0.04 per image) for graphic poster styles; NB2 Illustrative for atmospheric/cinematic. Split by style. Flat color, art deco, retro, graphic design, those go to Recraft. Dark fantasy, cyberpunk, cinematic, those go to Nano Banana 2’s illustrative mode.
Midjourney also belongs in this category, but the subscription model makes it less efficient if you’re running batches.
Best for Vectors and SVGs
Winner: Recraft V4 ($0.08 standard, $0.30 Pro per vector). The only serious option for real SVG output. Everything else rasterizes or pretends. Recraft’s vector tier ships with proper SVG paths you can edit in Illustrator or Figma. Essential for Etsy vector bundle sellers.
Best for Text and Typography
Winner: Ideogram V3 Quality ($0.09) or Recraft V4 ($0.04 for rendered type). For quote cards, ad mockups, and anything with readable text in the composition. GPT Image 1.5 is also solid here. FLUX and Seedream both still produce gibberish on readable text about 40% of the time.
Best for Speed / Bulk Iteration
Winner: Nano Banana (Gemini 2.5 Flash Image, $0.039) or FLUX Schnell (~$0.003 on fal.ai). For generating 100+ variations of a concept in a short session. Nano Banana is a couple of seconds per image. FLUX Schnell is even faster and an order of magnitude cheaper, though quality is meaningfully below FLUX Pro.
Cheapest Usable Model
Winner: FLUX Schnell on fal.ai (~$0.003 per image) or Stable Diffusion 3.5 local (free). If your entire pipeline runs on SD 3.5 locally, a 1,000-image batch costs you nothing but GPU time. That’s the absolute floor. The quality gap versus FLUX Pro is real, but for concept work or niches where “good enough” sells, this is unbeatable math.
Where to Run These Models (API Routes)
Same model, different platform, vastly different price. The routing decision is often worth more than the model decision.
fal.ai
The developer-friendly aggregator. Hosts FLUX, Recraft, Ideogram, Seedream, Stable Diffusion, and most open models. Pricing is per-image flat rate with no subscription. Reliable, fast, good SDK. This is where I run most of my non-Google models.
kie.ai
Undercuts everyone on Nano Banana Pro and Seedream routing. $0.09 per 2K Nano Banana Pro image on kie.ai (ad) versus $0.134 direct from Google is a 33% discount. Also hosts Ideogram, FLUX, and most of the same lineup as fal.ai. Pricing fluctuates; check both before a big batch.
Replicate
Good for experimentation and access to newer or weirder models. Slightly more expensive than fal.ai on most models, but the model catalog is deeper. Best if you want to test something obscure.
Direct APIs (OpenAI, Google, Midjourney, Black Forest Labs)
Use direct APIs when you need the latest features (new models, new parameters) that aggregators haven’t wired up yet. Otherwise aggregators almost always match or beat direct pricing. The one exception is GPT Image from OpenAI, where you’re stuck with the direct API since no aggregator resells it at scale.
What I Actually Use Every Day
Here’s my real routing decision tree for a stock photography pipeline in 2026. Nothing fancy, just what survived six months of testing.
Does the image contain a person or face?
├── YES → Nano Banana Pro via kie.ai ($0.09)
└── NO
├── Does it need readable text?
│ └── YES → Ideogram V3 Quality ($0.09) or Recraft V4 ($0.04)
├── Is it a vector or needs flat color?
│ └── YES → Recraft V4 ($0.04 or $0.08 vector)
└── Default (product, food, outdoor shot, interior)
└── Seedream 4.0 via kie.ai ($0.018)This routing keeps my average cost per image at around $0.04, down from about $0.12 when I was defaulting everything to GPT Image 1 High. The practical lesson after six months of testing is that routing discipline matters more than picking a single favorite model. Most creators default to whichever tool they tried first and keep paying 2-3x what they need to. If 60% of your work is no-people product and scene shots, every one of those images should route through Seedream on kie.ai. If 30% needs realistic faces, those go to Nano Banana Pro. The remaining 10% splits between Recraft for vectors and Ideogram for typography. A creator running 1,000 images a month on the right routing spends roughly $40. The same creator defaulting everything to GPT Image 1 High spends $167. That’s an extra $125 a month, or $1,500 a year, for zero incremental quality.
Once the images are generated, I run the batch through AutoKeyWorder (ad, own product) to handle the metadata. Every stock platform wants a title, description, and 30 to 49 keywords per image. Doing that by hand for a 50-image batch is 3 to 5 hours of screen time. Pasting the batch into AutoKeyWorder and uploading the resulting ZIP takes about 20 minutes, metadata included. The generation costs $2, the metadata time cost used to be my evening; now it’s a coffee break.
If you want the full end-to-end pipeline (niche research, prompt generation, image generation, keywording, packaged output), the AI Stock Pipeline (ad, own product) on autokeyworder.com bundles all of it. You type a niche; you get a ready-to-upload ZIP.
Two Tools That Sit on Either Side of Generation
Generation is the middle of the pipeline. Two other tools earn real money back on what you spend at the model.
Upscaling: Topaz Photo AI (ad). Most AI models cap out at 2K or 4K native. Adobe Stock, Alamy, and Displate all want higher-resolution files than that for print categories. Topaz Photo AI upscales a 2K image to 8K or 16K while preserving sharpness and adding realistic texture detail. It’s a one-time purchase around $199, and it’s the reason Seedream at $0.018 per image is actually usable for print. Raw model output is not print-ready; upscaled output usually is.
Selling: Freepik Contributor (ad). Adobe Stock pays the highest per-download royalty, but Freepik pays on volume. A portfolio cross-posted to both usually earns from Freepik first (subscriptions, high traffic, fast approvals) and from Adobe Stock later (lower volume, bigger per-sale payouts). Freepik accepts AI-generated content explicitly, with an AI disclosure checkbox on upload. If you’re generating images, this is the second platform to set up after Adobe.
The full pipeline in order: generate on kie.ai (ad) or fal.ai, upscale with Topaz (ad), keyword with AutoKeyWorder (ad, own product), upload to Freepik (ad) and Adobe Stock. Four tools, under $10 per 50-image batch all-in, and the metadata step that used to kill the whole workflow is no longer a bottleneck.
Prompt Rules That Work Across Every Model
Model choice gets the headlines. Prompt quality does more of the actual work. These eight rules apply to every model on this list and have saved me thousands of dollars of wasted generations.
- Five concrete nouns minimum. “Cast-iron skillet, roasted tomato sauce, crumbled feta, sourdough bread, linen napkin” produces a sellable image. “Food on a table” produces AI slop.
- No beauty words. “Beautiful,” “stunning,” “perfect,” “gorgeous” trigger over-processed, plastic-looking output across every model. Describe what you want, not how it should feel.
- No hex codes. #FF5733 renders as literal visible text in the image. Use named colors: “warm amber,” “deep crimson,” “sage green.”
- No resolution keywords. “8K,” “ultra HD,” “hyperrealistic” have zero measurable effect. Resolution is an API parameter, not a prompt instruction.
- No render engine names. “Octane Render,” “Unreal Engine 5,” “V-Ray” are dead weight. They did nothing in 2023 and they do nothing in 2026.
- Always include “no text, no watermark.” Without this constraint, roughly 40% of generated images contain random gibberish text. With it, under 5%.
- One coherent scene per prompt. “A kitchen AND a beach sunset” produces incoherent mashups. Split into two prompts.
- Style-first ordering. Earliest tokens carry the most weight. Lead with style and mood, then subject, then details.
These rules are covered in deeper detail with model-specific templates in the AI image prompt engineering guide.
FAQ
What is the cheapest AI image generator in 2026?
FLUX Schnell on fal.ai at around $0.003 per image is the cheapest hosted option available in April 2026, with SDXL close behind at approximately $0.0043 per image on Replicate. Running Stable Diffusion 3.5 Large or FLUX Schnell locally on your own GPU costs nothing beyond electricity, which is the absolute floor for an image generation workflow. For commercial-quality output with a predictable price cap, Seedream 4.0 on kie.ai sits at roughly $0.018 per image and Seedream 4.5 at around $0.04. Those are the three price tiers worth knowing: sub-cent hosted open source for bulk drafting, free self-hosted if you have the GPU, and under four cents per image for production-grade 4K output that meets stock platform quality standards.
Is Nano Banana Pro better than Midjourney?
For different things. Nano Banana Pro wins on photorealism, especially faces and hands, and offers 4K native output. Midjourney wins on artistic style, editorial illustrations, and posters. For stock photography with people, Nano Banana Pro is the stronger pick. For art prints and poster designs, Midjourney is usually better.
How much does it cost to generate 1,000 AI images?
At $0.03 per image (Seedream 4.5), 1,000 images cost $30. At $0.09 per image (Nano Banana Pro 2K), they cost $90. At $0.24 per image (Nano Banana Pro 4K direct), they cost $240. Running Stable Diffusion locally, the same 1,000 images cost only GPU electricity. The 80x spread is real, which is why routing decisions matter.
Which AI model has the best text rendering in 2026?
Recraft V4 and Ideogram V3 lead on text rendering, with GPT Image 1.5 close behind. FLUX, Midjourney, Seedream, and the Nano Banana family still produce gibberish text approximately 30 to 50% of the time without careful prompting. For any project with readable copy in the final image, route through Recraft or Ideogram.
Can I sell AI-generated images on stock platforms?
Yes, on Adobe Stock, Freepik, and several others. Shutterstock, Getty, and iStock have stricter policies or outright bans on AI content. The complete guide to selling stock photos covers which platforms accept AI, how to disclose it, and which niches pay the most.
Is it worth paying for Midjourney or should I use a cheaper API model?
Depends on your volume. At under 200 images per month, the $10 Midjourney Basic plan is the cheapest artistic-style option. Above 500 images per month, API routing through fal.ai or kie.ai is faster and cheaper per image, though you sacrifice Midjourney’s signature aesthetic.
The Bottom Line
Stop asking which AI image generator is “best.” Start asking which one wins for the shot you’re taking right now.
If I had to pick three models to cover 90% of a creator’s work in 2026, it would be Seedream (4.0 for pennies, 4.5 for the latest) for no-people stock, Nano Banana Pro for people and 4K, and Recraft V4 for vectors and typography. Route through kie.ai (ad) or fal.ai for the cheapest per-image rate on each. Budget around $0.04 per image as your average, not $0.15.
Then, once the images exist, stop losing an evening to metadata. AutoKeyWorder (ad, own product) fills the title, description, and keyword fields on Adobe Stock, Shutterstock, Displate, Zedge, and TeePublic automatically. Ten seconds per image instead of five minutes, for every platform where metadata is the real bottleneck between your work and your first royalty.
Generation got cheap. Keywording didn’t. That’s still where the hours go if you let them.
Start the Pipeline (In Order)
Ten images, under $2, on two stock platforms in an hour
Step 1. Generate 10 images on Kie.ai. Seedream 4.0 for no-people shots ($0.18 total) or Nano Banana Pro for people ($0.90 total).
Step 2. Upscale to print resolution so the files clear Adobe and Displate minimums.
Step 3. Keyword the batch. 10 images, under 2 minutes, full metadata on every file.
Step 4. Cross-post to Freepik and Adobe Stock. Freepik pays first; Adobe pays later but bigger.
Kie.ai, Topaz Labs, and Freepik links are affiliates. AutoKeyWorder is our own product. We earn a commission on affiliate purchases at no extra cost to you.