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Prompt Enhancer $5 Free Credits

Stop guessing prompts. Every AI model has its own prompting system — FLUX needs different syntax than LTX or Kokoro. deAPI's Prompt Enhancer uses dedicated guides from official sources (HuggingFace, GitHub) for each model and inference type, so your prompts produce the highest quality output every time. Works across images, video, speech, and image editing.

Why deAPI for prompt enhancement?

deAPI's Prompt Enhancer encodes model-specific prompting guides — sourced from each model's official HuggingFace card and GitHub repo — and applies them in milliseconds. Four endpoints cover image, video, image-editing, and speech inference; every call is synchronous, stateless, and priced in fractions of a cent. Whether you're building a SaaS that hides prompt complexity from end users or an internal pipeline that automates content production at scale, Prompt Enhancer plugs in with a single API call. Read the API docs.

  • Model-Specific Guides

    Sourced from HuggingFace + GitHub

    Every model has its own prompting system. Prompt Enhancer encodes the official guides from HuggingFace model cards and GitHub repos for FLUX-2 Klein, Z-Image, LTX-2.3, Kokoro, Chatterbox, and Qwen TTS — applied in milliseconds.

  • 4 Inference Types

    Image, video, image-edit, speech

    One endpoint per modality: /prompt/image, /prompt/video, /prompt/image2image, /prompt/speech. Each one returns a model-optimized prompt (and negative prompt where applicable) tuned to the active model.

  • Fraction-of-a-Cent Cost

    Pay per enhancement

    Per-request pricing well below a cent. Pair with the matching /price-calculation endpoint to check cost before committing. No subscription, no per-model fees, no monthly minimum.

  • Instant — No Queue

    Synchronous response

    Unlike generation endpoints, Prompt Enhancer is synchronous and stateless. POST your prompt, receive the enhanced version in the same HTTP response — no polling, no webhooks, no job IDs to track.

The Prompting Problem

Your users don't know how to write prompts for each model — and neither should they have to

Without Prompt Enhancer

User prompt

"a cat sitting on a chair"

  • Generic, lacks detail — model guesses the rest
  • No model-specific syntax or keywords
  • Inconsistent quality, frequent retries
  • Wastes credits on subpar generations

With Prompt Enhancer

Enhanced prompt

"A majestic tabby cat sitting regally on a vintage wooden chair, detailed fur texture, warm afternoon light streaming through a window, shallow depth of field, professional photography, 8k resolution"

  • Rich detail: lighting, texture, composition, style
  • Optimized for the target model's syntax
  • First-try quality — fewer retries, less waste
  • Also generates a negative prompt to avoid artifacts

One API, Four Inference Types

Model-tuned prompts for image, video, image editing, and speech — picked from official docs, applied in milliseconds

What it does

Transforms a simple text prompt into a detailed, model-optimized description for FLUX-2 Klein or Z-Image. Adds lighting, composition, style keywords, and quality markers that the image model needs to produce great results.

API workflow

POST to /prompt/image with prompt, model, and dimensions. Receive enhanced prompt + enhanced negative prompt synchronously. Pass both to /txt2img for generation.

Endpoint

  • POST /prompt/image Sync

    Optimized for FLUX-2 Klein, Z-Image Turbo

What it does

Rewrites prompts for video generation models like LTX-2.3. Adds motion directives, scene composition, and camera movement hints — knowledge sourced from LTX-2.3's official documentation.

API workflow

POST multipart to /prompt/video with prompt and optional first/last frame images. Receive enhanced prompt. Pass directly to /img2video or /text2video for generation.

Endpoint

  • POST /prompt/video Multipart

    Optimized for LTX-2.3 video generation

What it does

Optimizes editing instructions for image-to-image models like FLUX-2 Klein and Qwen Image Edit. Adds precise transformation directives, preservation hints (what to keep unchanged), and styling cues.

API workflow

POST multipart to /prompt/image2image with input image and edit instruction. Receive enhanced prompt + enhanced negative prompt. Pass both to /img2img for editing.

Endpoint

  • POST /prompt/image2image Multipart

    Optimized for FLUX-2 Klein img2img, Qwen Image Edit

What it does

Optimizes text for TTS models like Kokoro, Chatterbox, and Qwen TTS. Adds punctuation, pacing markers, and emphasis hints that produce more natural-sounding speech.

API workflow

POST to /prompt/speech with raw text. Receive enhanced text optimized for TTS. Then pass it directly to /txt2speech.

Endpoint

  • POST /prompt/speech Sync

    Optimized for Kokoro, Chatterbox, Qwen TTS

SaaS Platforms with AI Features

Your users type simple prompts. Prompt Enhancer silently enhances them before generation — they get pro-quality output without learning prompt engineering.

Content Creation Pipelines

Automate content production: boost prompts for images, video, and voiceover in one pipeline. Scale quality across thousands of assets.

Industries

  • SaaS & Apps B2B

    Hide prompt complexity from end users, deliver pro-quality AI output

  • E-Commerce Retail

    Boost product descriptions into perfect image/video generation prompts

  • Marketing Agencies Creative

    Turn campaign briefs into optimized prompts for images, video, and voiceover

  • E-Learning EdTech

    Generate consistent visual + audio content from lesson plans

  • AI Developers DevTools

    Add prompt optimization to any AI pipeline with a single API call

See Prompt Enhancer in Action

Watch how a simple 5-word prompt transforms into a detailed, model-optimized description that produces dramatically better results. One API call, instant response, better output.

  • One API call per enhancement — synchronous response
  • Works with all deAPI generation endpoints
  • Price calculation endpoint to check cost before boosting
  • Free tier available
  • No credit card required

Boost your first prompt
in under a minute

Add one endpoint to your pipeline and ship pro-quality output across every modality

Frequently Asked Questions

Everything you need to know

Prompt Enhancer takes your simple text prompt and rewrites it using model-specific knowledge sourced from official documentation (HuggingFace model cards, GitHub repos). It adds the technical details, style keywords, negative prompts, and syntax that each model responds to best — so you get professional-quality output on the first try instead of guessing and retrying.
You can — but every model has different prompting rules. FLUX wants structured scene descriptions with quality markers. LTX needs camera motion directives. Kokoro benefits from phonetic formatting. Learning each model's optimal prompt format takes hours of reading documentation. Prompt Enhancer encodes all of that knowledge and applies it in milliseconds. More importantly, if you're building a product, your end users won't learn prompt engineering — Prompt Enhancer does it for them.
Prompt Enhancer has dedicated guides for all models available on deAPI: FLUX-2 Klein and Z-Image Turbo for text-to-image, FLUX-2 Klein and Qwen Image Edit for image-to-image, LTX-2.3 for video generation, and Kokoro, Chatterbox, and Qwen TTS for speech. Each guide is built from the model's official HuggingFace and GitHub documentation.
Synchronous. Unlike generation endpoints that use async job queues, Prompt Enhancer returns the enhanced prompt directly in the HTTP response. No polling, no webhooks — just POST your prompt and get the enhanced version back immediately. This makes it easy to chain: boost the prompt first, then pass the result to any generation endpoint.
Yes. Every prompt endpoint has a matching price-calculation endpoint: /prompt/image/price-calculation, /prompt/video/price-calculation, /prompt/speech/price-calculation, and /prompt/image2image/price-calculation. Call it with the same parameters to get the exact cost before committing.
Yes. For image and image-to-image endpoints, Prompt Enhancer returns both an enhanced prompt and an enhanced negative prompt. The negative prompt helps prevent common artifacts like blurriness, distortion, watermarks, and other quality issues that the model might otherwise produce.