✦ .shock Suite · .imla.shock
AI Image Generator
for Commercial Stock
v1 — Available now v2 — Early Access
Generate 4K images and video across Flux, SDXL, Midjourney, Ideogram and more — stock-safe prompts, artifact screening, and direct export to .tag.shock built in.
Runs on the same platform as .tag.shock — same launcher, same shared data layer.
How it works
From topic to 4K stock asset in three steps.
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01
Enter a topic or paste a prompt
Type a bare subject ("business meeting in bright modern office") or paste an existing prompt. The Batch tab accepts a list — one topic per line — and queues all of them at once.
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02
AI rewrites it for your chosen provider
One click sends the topic through Claude or GPT-4o, which produces a correctly structured prompt for whichever model is active — prose for Flux, keyword tags for SDXL, parameter flags for Midjourney — with stock-safety rules baked in automatically.
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03
Generate, screen, and push to tag.shock
Results are screened for AI artifacts automatically. Approved frames are pushed straight into .tag.shock for titles, descriptions, and keyword metadata — ready for upload to Adobe Stock or Shutterstock.
What it does
The outcome .imla.shock delivers.
Generate commercial images and video across many AI providers from one place, screen every result for artifacts, and push the keepers straight into tag.shock for keywording and delivery. The same generator feeds reference frames and moodboards back into plan.shock, so a concept becomes usable assets without leaving the pipeline. It runs today on a credit system (v1); v2 credits are in Early Access.
- Generate commercial images and video across Flux, SDXL, Midjourney, Ideogram, Gemini, Higgsfield and more from one prompt.
- Provider-aware prompt enhancement — one topic becomes the right style of prompt for whichever model is active (prose for Flux, keyword tags for SDXL, params for Midjourney).
- Stock-safety rules baked in — no text, logos, identifiable people or IP that would trigger rejection on Adobe Stock or Shutterstock.
- 4K upscaling — upscale any result to 4K via fal.ai clarity-upscaler in one click, without leaving the app.
- Screen every render for AI artifacts and defects (deformed hands, garbled text, obvious AI tells) before anything reaches your delivery queue.
- Batch topic queue — paste a list of topics, AI-enhance each one, and send them all to the generation queue automatically.
- Push approved frames straight into .tag.shock for titles, descriptions and keyword metadata.
- Compare panel — test the same prompt across 2–4 providers side by side and pick the winner.
- Feed reference frames and moodboards back into plan.shock to anchor the next real shoot.
Prompt enhancement — example
One topic. Four provider-optimised prompts.
Enter a bare subject — .imla.shock rewrites it into the right structure for whichever model is selected. Each provider gets exactly what it responds to best.
Supported providers
Which AI model is best for stock photography?
Different models excel at different subjects. .imla.shock's prompt enhancement detects the active provider and adjusts prompt style, word count, and structure automatically — so you always send each model what it responds to best.
| Provider / Model | Best for | Prompt style | What helps acceptance |
|---|---|---|---|
| Flux (fal.ai / BFL) EditorialLifestyleNature |
Editorial portraits, lifestyle, nature Top pick | Natural prose, 130–180 words | No native watermarking; naturally clean backgrounds; accurate skin tones straight from generation |
| SDXL (Replicate) ProductCorporateTech |
Product flat-lays, corporate, tech | Comma-separated tags + quality boosters | Negative prompts give tight defect control; strong at isolated product on clean backgrounds |
| Midjourney (PiAPI) ArtisticFashionConceptual |
Conceptual, artistic, fashion-adjacent | Short vivid scene + --ar --style --v |
Use --style raw to reduce over-stylisation; watch for over-sharpened skin |
| Ideogram v3 Text-in-imageCoversInfographic |
Infographics, covers, text-in-image | Clean commercial language, text in quotes | Purpose-built for legible in-image text; clean commercial language avoids reviewer flags |
| Gemini / Imagen LifestyleWellnessFamily |
Safe-for-work lifestyle, family, wellness | Natural clear language, explicit SFW framing | Conservative guardrails align with stock SFW policies; strong at diverse, inclusive lifestyle scenes |
| Higgsfield / Runway / Kling VideoB-rollMotion |
Cinematic stock video, B-roll, motion | Shot description + camera movement + action | Video stock demand growing fast; AI disclosure required at upload on Shutterstock and Pond5 |
Who it's for
Built for two kinds of creator.
Stock photographer
- Producing AI-generated images at volume for Adobe Stock and Shutterstock
- Needs multi-provider generation with stock-safe prompts ready out of the box
- Wants 4K output, automatic artifact screening, and a direct path to keywording and upload
Commercial photographer
- Building moodboards and reference frames before or alongside a real shoot
- Needs generated assets to brief clients and feed into plan.shock
- Uses .imla.shock as a concept and pre-vis tool, not a replacement for camera work
In the pipeline
Where .imla.shock fits.
Receives moodboards and reference frames to anchor shoot planning
Generates, screens, and manages AI images and video
Receives approved frames for keywording, metadata, and delivery
A parallel track — not a step on the main line. It generates moodboards that feed plan.shock and runs as a standalone AI generator whose finished frames hand off to tag.shock for keywording.
Same platform as tag.shock. Both apps run on the same unified launcher, share the same project library and asset data layer — files generated in imla.shock appear immediately in tag.shock with no import step.
In the spirit of tools like Midjourney, Runway and Kling — referenced for the kind of result, not an affiliation or endorsement.
Availability by plan
What you get on each plan.
1 credit = 1 standard generation (one image at default resolution). 4K upscaling costs 1 additional credit per image. Prompt enhancement runs on your own LLM API key — no credits deducted.
FAQ
Common questions about AI stock generation.
Which AI model produces the best stock photos for Adobe Stock?
For editorial and lifestyle stock, Flux (fal.ai / BFL) produces the most natural-looking results — its prose-based prompting avoids the over-processed look that triggers reviewer rejection. SDXL on Replicate works well for product and flat-lay photography where keyword-tag prompts give tight control. Ideogram v3 is the strongest choice when the image needs clean, legible text. Use .imla.shock's Compare panel to test the same prompt across providers before committing to a batch run.
Will AI-generated images get rejected from Adobe Stock or Shutterstock?
.imla.shock builds stock-safety rules into every enhanced prompt: no visible text, logos, trademarks, identifiable real people, or IP-protected architecture. The artifact screening step flags deformed hands, garbled text, and obvious AI tells before anything reaches your delivery queue. Disclosing AI generation at upload (now required by most major platforms) is handled by the metadata .tag.shock writes. Following these practices significantly improves acceptance rates, though no tool can guarantee approval — reviewer decisions vary.
How do I generate 4K images suitable for large print licensing?
Set the Resolution selector to 4K Landscape (3840×2160) or 4K Portrait before generating — some providers (Flux, SDXL Ultra) output natively at that resolution. For providers with lower native resolution, use the 4K↑ button on any result card to run it through the fal.ai clarity-upscaler, which sharpens and enlarges to 4K in one step. The upscaled version saves as a new result alongside the original.
Can I use .imla.shock without a paid .shock Suite subscription?
.imla.shock runs on your own provider API keys — you pay fal.ai, Replicate, Midjourney, etc. directly. There is no additional .shock markup on those generation costs. The .shock Suite subscription covers the app itself and the integrated pipeline (push to .tag.shock, plan.shock moodboards, asset data layer). The free tier includes 20 credits per month, which is enough to evaluate the full workflow.
What is the Batch topic queue and how does it speed up stock production?
The Batch topic queue lets you paste a list of subjects — one per line — and .imla.shock uses Claude or GPT-4o to turn each bare topic into a complete, provider-aware stock prompt automatically. All enhanced prompts are added to the Queue tab for sequential generation. A list of 20 topics becomes 20 ready-to-generate prompts in about two minutes, each correctly structured for whichever provider you have selected.
How does .imla.shock compare to using Midjourney or Runway directly?
Those tools are excellent generators. .imla.shock is not a replacement — it is a layer on top of them (and others) that handles the production workflow: provider-aware prompt writing, stock-safety enforcement, artifact screening, 4K upscaling, result management with folders and tags, and direct export into the keywording pipeline. If you are producing stock at volume across multiple providers, the saved prompt-writing and file-management time compounds quickly.
From topic to 4K stock image — in one workflow.
Part of the .shock Suite — Flux, SDXL, Midjourney, Ideogram and more, with stock-safe prompts and artifact screening built in.