Molmo2 Prompt Optimizer
Playground
Try it on WavespeedAI!Molmo2-4B Prompt Optimizer: Enhance prompts for image and video generation with intelligent restructuring, style guidance, and context-aware improvements. Open-source vision-language model. Ready-to-use REST API, no cold starts, affordable pricing.
Features
Molmo2 Prompt Optimizer
Enhance your prompts for better AI generation results with Molmo2 Prompt Optimizer. This intelligent tool analyzes your input — whether text or image — and generates optimized prompts tailored for different styles and output modes. Perfect for improving text-to-image and text-to-video generation quality.
Why It Works Great
- Dual input modes: Analyze images or text to generate optimized prompts.
- Multiple styles: Optimize for artistic, photographic, technical, anime, or realistic output.
- Image & video support: Generate prompts optimized for either image or video generation.
- Instant results: Fast processing for seamless workflow integration.
- Ultra-affordable: Just $0.003 per optimization — 333 runs for $1.
- Quality boost: Get better results from your generation models.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | No | Reference image to analyze and describe. |
| text | No | Text prompt to enhance and optimize. |
| style | No | Output style: default, artistic, photographic, technical, anime, or realistic. |
| mode | No | Target generation type: image or video. Default: image. |
How to Use
From Image
- Upload an image — the image you want to describe or recreate.
- Select style — choose the aesthetic direction.
- Select mode — image or video generation target.
- Run — get an optimized prompt describing the image.
From Text
- Enter your prompt — your basic idea or description.
- Select style — choose the aesthetic direction.
- Select mode — image or video generation target.
- Run — get an enhanced, detailed prompt.
Pricing
Flat rate per optimization.
| Output | Cost |
|---|---|
| Per optimization | $0.003 |
| 100 optimizations | $0.30 |
| 1,000 optimizations | $3.00 |
Style Guide
| Style | Description | Best For |
|---|---|---|
| default | Balanced, general-purpose optimization | Any content type |
| artistic | Creative, expressive, painterly language | Art, illustrations, creative work |
| photographic | Camera, lens, and lighting terminology | Photos, portraits, products |
| technical | Precise, detailed specifications | Technical diagrams, precise output |
| anime | Japanese animation style keywords | Anime characters, manga art |
| realistic | Photorealistic, lifelike descriptions | Realistic renders, simulations |
Mode Options
| Mode | Description |
|---|---|
| image | Optimizes prompts for text-to-image models |
| video | Optimizes prompts for text-to-video models with motion descriptions |
Best Use Cases
- Image Captioning — Generate detailed prompts from reference images.
- Prompt Enhancement — Upgrade basic prompts to detailed descriptions.
- Style Conversion — Reframe prompts for different aesthetic styles.
- Cross-model Optimization — Adapt prompts for image vs video generation.
- Batch Processing — Optimize many prompts affordably at scale.
- Learning Tool — Understand what makes effective generation prompts.
Pro Tips for Best Results
- Use image input to reverse-engineer prompts from existing artwork.
- Match style to your target model’s strengths (anime for anime models, etc.).
- Switch mode to “video” when targeting video generation for motion-aware prompts.
- Combine: upload image + add text for context-aware optimization.
- At $0.003 per run, experiment freely to find optimal prompt styles.
Notes
- Provide either image or text (or both) as input.
- Processing is near-instant for rapid iteration.
- Video mode adds motion and temporal descriptions to prompts.
- Results can be directly used with generation models on WaveSpeed.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/prompt-optimizer" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"style": "default",
"mode": "image",
"enable_sync_mode": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | No | - | Image to use as context for prompt optimization. | |
| text | string | No | - | - | Text to expand or use as context for prompt optimization. |
| style | string | No | default | default, artistic, photographic, technical, anime, realistic | Style or tone to apply to the optimized prompt. |
| mode | string | No | image | image, video | The aim of the optimization, either for image or video generation. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |