Turn image references into model-ready prompts
Upload one image and generate copy-ready English prompts for Midjourney, DALL-E, Stable Diffusion, Adobe Firefly, FLUX, and Gemini Imagen with one consistent visual analysis pipeline.
Prompt workbench
Upload image, choose target model, generate and inspect prompt spec.
Upload image
Minimum 64x64px - Max 10MB
Ready to generate. Logged-in users spend 10 credits per prompt.
Generated prompt
Midjourney - ready
Your generated prompt will appear here.
Upload an image, select a model, then run generation.
Supported AI Models
The product keeps one visual analysis pass, then formats the result for each model's expected prompt shape.
Default selected model
Visual exploration, aesthetic direction, campaign concepts.
Visual phrase prompt with parameters and aspect ratio.
Uses compact visual language and Midjourney-specific formatting.
Natural language
Instruction-heavy generation and clear scene descriptions.
Natural-language prompt with subject, scene, lighting, and mood.
Avoids Midjourney parameters and outputs direct task copy.
Positive + negative
Local models, SDXL workflows, and parameter-controlled results.
Positive prompt, negative prompt, and suggested settings.
Returns separate fields instead of one combined prompt string.
Commercial design
Brand-safe marketing, product visuals, and design drafts.
Concise design prompt focused on subject and commercial intent.
Keeps the copy clear, controlled, and easy to paste.
Detailed scene
High coherence, product detail, and faithful visual structure.
Detailed natural-language prompt with visual specificity.
Expands composition, lighting, texture, and perspective details.
Task instruction
General generation tasks and concise controlled outputs.
Task-style prompt with a clear image generation instruction.
Preserves the visual spec while removing model-specific syntax.
Powerful Features for Every Creator
All features map to existing project flows: upload fallback, guest limits, credits, validation, and prompt specs.
Multi-model support
Generate output tailored for Midjourney, OpenAI / DALL-E, Stable Diffusion, Firefly, FLUX, and Gemini Imagen.
Visual analysis first
The API creates a compact visual spec, then formats prompts from that structured analysis.
Validation guards
Prompt validation prevents missing fields and keeps Midjourney syntax out of non-Midjourney results.
Copy-ready output
Prompt, positive prompt, negative prompt, and suggested settings stay in clear exportable blocks.
Guest and credit logic
Guests get limited free usage; signed-in users route through the credit system at 10 credits per prompt.
Production fallback
Uploads can use storage when configured or fall back gracefully during local/demo usage.
How It Works
Read image, analyze visual spec, format by model, copy result.
Upload your image
Drop, paste, or select JPG, PNG, WebP, or GIF. The app validates size and dimensions before generation.
Analyze visual features
The visual analysis engine extracts subject, style, scene, composition, lighting, camera, and mood.
Generate model-specific prompts
Formatters transform the same visual spec into model-specific syntax and length expectations.
Copy and use instantly
The generated prompt and specs are displayed in dense, copyable output panels.
Prompt Quality Comparison
The visual system keeps the distinction obvious without oversized marketing sections.
Basic tool
- "A SaaS dashboard on a screen"
- No composition or layout density guidance
- No lighting, style, or negative constraints
- No model-specific syntax
Sistine AI prompt
- Identifies clean product interface, panels, and blue accent
- Adapts copy for Midjourney, DALL-E, SD, Firefly, FLUX, or Imagen
- Includes style, aspect ratio, and negative hints where useful
- Keeps visual spec inspectable for edits
Image to Prompt FAQs
Dense, scan-friendly answers for the most important product questions.
How accurate are the generated prompts?
They aim to capture the subject, scene, lighting, style, composition, and mood. Clear high-resolution images produce stronger results.
What is the difference between target models?
Each model expects different syntax. The app formats the same visual spec into the right prompt shape for each target.
Can guests generate prompts?
Yes. The current project allows 3 guest successes, then asks users to sign in and continue through credits.
What image formats are supported?
JPG, PNG, WebP, and GIF are accepted. The prompt workflow allows images at least 64x64px and up to 10MB.
Does it store generation history?
Prompt outputs are part of the generation history data model, alongside image and video generation records.
Can I inspect the structured analysis?
Yes. The output includes visual and prompt specs so users can refine or debug generated prompts.
What happens when storage is not configured?
The project keeps graceful local/demo fallbacks, which is useful for development and teaching environments.
How does this map back into the app?
The workbench keeps the existing upload, generate, copy, guest usage, and credit behavior while changing the visual shell.
Start generating multi-model prompts today
Upload an image, choose a target model, and compare copy-ready outputs without leaving the workbench.