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.

Molmo2 Prompt Optimizer API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/prompt-optimizer with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Molmo2 Prompt Optimizer below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/prompt-optimizer" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "style": "default",
    "mode": "image",
    "enable_sync_mode": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/molmo2/prompt-optimizer", {
        "image": "https://example.com/your-input.jpg",
        "style": "default",
        "mode": "image",
        "enable_sync_mode": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/molmo2/prompt-optimizer",
    {
    "image": "https://example.com/your-input.jpg",
    "style": "default",
    "mode": "image",
    "enable_sync_mode": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Molmo2 Prompt Optimizer API — Frequently asked questions

What is the Molmo2 Prompt Optimizer API?

Molmo2 Prompt Optimizer is a WaveSpeedAI model for AI inference, exposed as a REST API 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. You can call it programmatically or try it from the playground above.

How do I call the Molmo2 Prompt Optimizer API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/molmo2-prompt-optimizer.

How much does Molmo2 Prompt Optimizer cost per run?

Molmo2 Prompt Optimizer starts at $0.003 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Molmo2 Prompt Optimizer accept?

Key inputs: `image`, `enable_sync_mode`, `mode`, `style`, `text`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/molmo2-prompt-optimizer.

How long does Molmo2 Prompt Optimizer take to generate?

Average end-to-end generation time on WaveSpeedAI is around 10 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Molmo2 Prompt Optimizer outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

ÖrneklerTümünü görüntüle

İlgili Modeller

README