
Photorealistic image and 3D asset production workbench
Reduce tool switching and rework while keeping one reviewed asset history.
- For
- Creative studios and art teams producing photorealistic images and 3D assets from text prompts
- Solves
- Image, layer and 3D asset work is split across several rented tools, so prompts, refinements, approvals and rights records do not stay in one place.
- Delivers
- Art-director-approved image and 3D asset sets linked to production briefs
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $13,000 for the MVP, $44,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce tool switching and rework while keeping one reviewed asset history.
- Generate images from descriptive text prompts.
- Produce photorealistic, detailed output.
- Return first results within seconds to a minute.
- Refine and modify generated images.
- Inpaint gaps or regions from text prompts.
- Segment images into editable layers.
- Superscale output to high resolutions such as 8K.
- Preview parallax camera moves across layers.
- Generate 3D meshes for world-building.
- Create photorealistic 3D staged images from a prompt.
- Export high-resolution production files.
- Allow repeated refinement without per-pass charges.
- Train custom models on approved house styles.
- Offer pre-trained models for named artistic styles.
- Provide an interface usable by beginners and professionals.
- Produce production-ready game assets, items, environments and concept art.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before consequential use.
- Export a versioned art-director-approved image and 3D asset set linked to production briefs with source references and unresolved questions.
Everything these tools do, in one app
- Text-to-Image Generation Creates images from descriptive text prompts.Found in Cuebric, Fill 3D, Leonardo.ai
- Photorealistic Output Produces images that look realistic and detailed.Found in Cuebric, Fill 3D
- Rapid Generation Generates images quickly, often within seconds or a minute.Found in Cuebric, Fill 3D
- Image Refinement Allows users to modify and improve generated images.Found in Cuebric, Fill 3D
- Inpainting Fills in gaps or modifies parts of an image using text prompts.Found in Cuebric
- Image Segmentation Breaks images into layers for detailed customization.Found in Cuebric
- Superscaling Upscales images to high resolutions like 8K.Found in Cuebric
- Parallax Preview Simulates camera movements to visualize layer interactions.Found in Cuebric
- Generative Mesh Automatically generates 3D meshes for world-building.Found in Cuebric
- Generative Fill in 3D Creates photorealistic 3D staged images from a text prompt.Found in Fill 3D
- High Resolution Output Delivers images at high resolutions for quality production.Found in Cuebric, Fill 3D
- Infinite Refinement Allows repeated refinements without extra cost.Found in Fill 3D
- Customizable AI Models Enables training of AI models to match specific styles.Found in Leonardo.ai
- Specialized Models Provides pre-trained models for specific artistic styles like anime or cinematic.Found in Leonardo.ai
- Artist-Friendly Interface Offers an intuitive interface accessible to beginners and professionals.Found in Leonardo.ai
- Game Asset Generation Produces production-ready assets like items, environments, and concept art.Found in Leonardo.ai
What goes in, what comes out
- Approved prompts
- Style references
- Brand rules
- Usage rights
AI drafts, people review. Visual production platform with managed creative review.
- Art-director-approved image
- 3D asset sets linked to production briefs
How it works
The workflow
- InStart with
Approved prompts, style references, brand rules and usage rights
- 1
Confirm the buyer's problem and scope
- 2
Collect approved prompts
- 3
Style references
- 4
Brand rules and usage rights
- 5
Then follow this sequence: 1
- OutFinish with
Art-director-approved image and 3D asset sets linked to production briefs
AI does the heavy lifting, people stay in charge
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed output specification and licensed style reference set; final art direction, likeness and rights checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Creative brief and references, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome art-director-approved image and 3D asset sets linked to production briefs visible beside its evidence, review state and value baseline.
Accounts and administration
Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
Studio-owned briefs, style guides and permitted reference libraries. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
6 daysOne buyer segment, one recurring use case; first modules: generate images from descriptive text prompts; produce photorealistic, detailed output. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will creative studios and art teams producing photorealistic images and 3D assets from text prompts use it to solve "image, layer and 3D asset work is split across several rented tools, so prompts, refinements, approvals and rights records do not stay in one place"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted assets per production hour and corrections after art approval.
- Measure, then decide. Track accepted assets per production hour and corrections after art approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Pilot scope: One fixed output specification and licensed style reference set; final art direction, likeness and rights checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate images from descriptive text prompts; produce photorealistic, detailed output. Support the remaining modules with operator review: refine and modify generated images; inpaint gaps or regions from text prompts; segment images into editable layers; superscale output to high resolutions such as 8K; preview parallax camera moves across layers; generate 3D meshes for world-building; create photorealistic 3D staged images from a prompt; export high-resolution production files; allow repeated refinement without per-pass charges; train custom models on approved house styles; offer pre-trained models for named artistic styles; provide an interface usable by beginners and professionals; produce production-ready game assets, items, environments and concept art. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around art-director-approved image and 3D asset sets linked to production briefs. Retain the explicit scope boundary: One fixed output specification and licensed style reference set; final art direction, likeness and rights checks remain human.
What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed output specification and licensed style reference set; final art direction, likeness and rights checks remain human.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: generate images from descriptive text prompts; produce photorealistic, detailed output. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$44,000about 5 weeks of creation time · start with the MVP from $13,000
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $40–$80 | $150–$310 | $190–$390 |
| Full productabout 50 customers | $160–$320 | $2,100–$4,200 | $2,260–$4,520 |
Run it or resell it
For your own team
Creative studios and art teams producing photorealistic images and 3D assets from text prompts run it inside the business: approved prompts, style references, brand rules and usage rights in, art-director-approved image and 3D asset sets linked to production briefs out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#913a27 - accent
#54c5c9 - surface
#f1e7e4 - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Confident, visual, craft-proud
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test a USD 300-1,500 fixed pilot for one defined asset package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded art-director-approved image and 3D asset set linked to production briefs. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.
Message to test
Reduce tool switching and rework while keeping one reviewed asset history. Demonstrate a concrete art-director-approved image and 3D asset set linked to production briefs using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Creative studios and art teams producing photorealistic images and 3D assets from text prompts professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample art-director-approved image and 3D asset set linked to production briefs from a small authorized input set, with a transparent calculation of accepted assets per production hour and corrections after art approval and no promised savings.
The first 30 days
- Week 1: interview five creative studios and art teams producing photorealistic images and 3D assets from text prompts and inspect a recent example of image, layer and 3D asset work split across several rented tools.
- Week 2: prepare a consented or synthetic demonstration of the task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure accepted assets per production hour and corrections after art approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.
Paid pilot
Agree quality and outcome thresholds before the pilot using this measure: Accepted assets per production hour and corrections after art approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.
Success metrics
Accepted assets per production hour and corrections after art approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs art-director-approved image and 3D asset sets linked to production briefs. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.
Why clients would pick it
A reusable library of approved styles, production constraints and review examples, together with reliable delivery for a narrow creative niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for creative studios and art teams producing photorealistic images and 3D assets from text prompts. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
Cuebric, Fill 3D and Leonardo.ai, plus freelancers and generic generation tools. Compare this product with the buyer's present method on accepted assets per production hour and corrections after art approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Generation attempts, image and 3D processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of art-director-approved image and 3D asset sets linked to production briefs. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve artist voice, source attribution, likeness accuracy and usage permissions. Art directors approve substantive changes and publication scope. One fixed output specification and licensed style reference set; final art direction, likeness and rights checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.