AI app for creatives · no coding needed
Managed AI image production and review platform
Consolidate generation, editing, review and publishing into one owned platform.
Made for: Creative teams and studios producing AI-generated images for campaigns and products
What it does for you
The problem
Image generation, editing, review and publishing are spread across several rented tools, so prompts, versions and approvals are hard to trace and the team does not own its workflow.
What it gives you
Approved image sets linked to campaign or product use
What you give it
Text promptsreference imagesbrand rulesreviewer notes
Build your own version of dreamlike.art, Invoke AI and more
One app with what these 7 AI tools do, yours to keep and change: dreamlike.art, Invoke AI, DiffusionBee, Amazing AI, ARTSMART AI, Distillery, Playbook AI.
Everything these tools do, in one app
- Text-to-image generation Creates original images from text descriptions.Found in dreamlike.art, Invoke AI, DiffusionBee and 4 more
- Image-to-image transformation Modifies existing images based on text input or other images.Found in dreamlike.art, Invoke AI, DiffusionBee
- Image variations Generates multiple variations of an image to explore creative directions.Found in dreamlike.art
- Inpainting and outpainting Edits or extends images by adding or removing elements intelligently.Found in Invoke AI, DiffusionBee, ARTSMART AI
- Upscaling Improves image resolution and sharpness using AI.Found in dreamlike.art, DiffusionBee, ARTSMART AI
- Face refinement Enhances and refines faces in generated images.Found in dreamlike.art
- Custom models Allows users to select or train custom AI models for specific styles or objects.Found in dreamlike.art, DiffusionBee
- Adjustable parameters Provides settings to fine-tune image generation outputs.Found in dreamlike.art, Invoke AI, Distillery
- Image management Organizes, stores, and retrieves generated images.Found in dreamlike.art, Playbook AI
- Local processing Runs image generation locally on the user's device for privacy and speed.Found in DiffusionBee, Amazing AI
- Batch generation Generates multiple images simultaneously from different prompts.Found in Amazing AI
- Negative prompts Refines results by specifying what to exclude from the image.Found in Amazing AI, Distillery
- Keyboard shortcuts Offers shortcuts to streamline the workflow.Found in Amazing AI
- Metadata support Includes metadata with generated images for organization.Found in Amazing AI
- Community artwork browser Browses and draws inspiration from community-generated artworks.Found in ARTSMART AI
- Specialized generators Includes niche generators like anime creator and avatar generator.Found in ARTSMART AI
- Pose control Manipulates image poses precisely.Found in ARTSMART AI
- Social media planner Schedules and auto-shares content on social media.Found in ARTSMART AI
- Command-based interface Uses text commands to adjust generation settings.Found in Distillery
- LoRa models Provides a collection of LoRa models for detailed style control.Found in Distillery
- Collaboration tools Enables multiple users to edit and review AI-generated art.Found in Playbook AI
- Prompt storage Saves and revisits AI prompts and resulting art.Found in Playbook AI
How it works, step by step
- Generate original images from text descriptions
- Transform existing images from text or reference input
- Produce multiple variations of an image
- Inpaint and outpaint to add or remove elements
- Upscale images for resolution and sharpness
- Refine faces in generated images
- Select or train custom models for styles or objects
- Adjust generation parameters
- Organize, store and retrieve generated images
- Run generation locally where privacy or speed requires it
- Generate batches from different prompts
- Apply negative prompts to exclude unwanted content
- Provide keyboard shortcuts for repeated actions
- Attach metadata to generated images
- Browse community artwork for reference
- Offer specialized generators such as anime and avatar tools
- Control pose precisely
- Schedule and auto-share approved content to social channels
- Accept text commands to adjust generation settings
- Apply LoRa models for detailed style control
- Support multi-user editing and review
- Save and revisit prompts and resulting art
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned approved image set linked to campaign or product use with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Managed AI image production and review platform with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Managed AI image production and review platform with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
- demo/index.htmlThe working demo on sample data193 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Consolidate generation, editing, review and publishing into one owned platform. For creative teams and studios producing AI-generated images for campaigns and products, convert text prompts, reference images, brand rules and reviewer notes into approved image sets linked to campaign or product use. The benefit is a testable hypothesis, measured through approved images per production hour and corrections after approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect text prompts, reference images, brand rules and reviewer notes, then follow this sequence: 1. Generate original images from text descriptions. 2. Transform existing images from text or reference input. 3. Produce multiple variations of an image. 4. Inpaint and outpaint to add or remove elements. 5. Upscale images for resolution and sharpness. 6. Refine faces in generated images. Resolve uncertain cases with qualified reviewers, approve approved image sets linked to campaign or product use, and measure approved images per production hour and corrections after approval against a documented baseline.
How the AI works
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 brand ruleset and licensed model set; final rights, likeness and brand checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand voice, source attribution, likeness accuracy and usage permissions. Brand owners approve substantive changes and publication scope. One fixed brand ruleset and licensed model set; final rights, likeness and brand checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed brand ruleset and licensed model set; final rights, likeness and brand checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate original images from text descriptions; transform existing images from text or reference input. Support the remaining modules with operator review: produce multiple variations of an image; inpaint and outpaint to add or remove elements; upscale images for resolution and sharpness; refine faces in generated images. 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.
What it can connect to
Brand asset libraries, authorized reference images and permitted research sources. 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.
The screens in detail
Primary screens: Prompt and model workspace, Editable image canvas, Review and delivery board. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for prompts, model settings, references 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 image. Make the task-specific outcome approved image sets linked to campaign or product use visible beside its evidence, review state and value baseline.
