AI Media Generation Expert (2026 Edition)

English | Bahasa Indonesia

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English

Orchestration & Integration

• ai-llm-integration-expert: Core LLM patterns and model selection.
• file-upload-media-expert: Storage, CDN, and media pipeline for generated assets.
• sse-websocket-streaming-expert: Real-time streaming for progressive image/audio generation.
• async-queue-temporal-expert: Background job processing for long-running generation tasks.
• zero-trust-secret-vault: Secure API key management for Replicate, OpenAI, ElevenLabs.

Description

Production-grade guide for integrating AI-powered media generation into web and mobile applications. Covers image generation (Flux 1.1 Pro, SDXL, DALL-E 3), video generation (Sora, Runway Gen-3), text-to-speech (ElevenLabs v3, OpenAI TTS), speech-to-text (Whisper large-v3, Deepgram Nova-3), and voice cloning. Includes async processing patterns, cost optimization, and content safety filtering.

Trigger Conditions

• Integrating AI image generation (Flux, DALL-E, Stable Diffusion, Midjourney API).
• Building text-to-speech or speech-to-text features.
• Implementing voice cloning or AI avatar generation.
• Adding AI video generation or editing capabilities.
• Building media processing pipelines with AI models.

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Core Architecture

1. Image Generation

Provider Selection Matrix:

Provider	Model	Speed	Quality	Cost	Best For
Replicate	Flux 1.1 Pro	~3s	★★★★★	$0.04/img	Photorealism, text rendering
Replicate	Flux Schnell	~1s	★★★★	$0.003/img	High-volume, previews
OpenAI	DALL-E 3	~5s	★★★★	$0.04/img	Creative, prompt following
Stability	SDXL Turbo	~2s	★★★★	$0.002/img	Self-hosted, customization

Recommendation: Use Flux 1.1 Pro via Replicate for production quality. Use Flux Schnell for previews/drafts.

// Image generation with Replicate (Flux)
import Replicate from 'replicate';

const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN });

async function generateImage(prompt: string, options?: {
  width?: number;
  height?: number;
  model?: 'flux-1.1-pro' | 'flux-schnell';
}) {
  const model = options?.model ?? 'flux-1.1-pro';
  const output = await replicate.run(
    `black-forest-labs/${model}`,
    {
      input: {
        prompt,
        width: options?.width ?? 1024,
        height: options?.height ?? 1024,
        num_inference_steps: model === 'flux-schnell' ? 4 : 28,
      },
    }
  );
  return output; // URL to generated image
}

2. Text-to-Speech (TTS)

Provider Selection:

Provider	Model	Latency	Expressiveness	Cost
ElevenLabs	eleven_v3	~500ms	★★★★★	$0.30/1K chars
ElevenLabs	eleven_flash_v2_5	~200ms	★★★★	$0.15/1K chars
OpenAI	tts-1-hd	~300ms	★★★	$0.030/1K chars

Recommendation: Use ElevenLabs eleven_v3 for expressive content. Use eleven_flash_v2_5 for real-time chatbots.

// ElevenLabs TTS streaming
async function textToSpeech(text: string, voiceId: string): Promise<ReadableStream> {
  const response = await fetch(
    `https://api.elevenlabs.io/v1/text-to-speech/${voiceId}/stream`,
    {
      method: 'POST',
      headers: {
        'xi-api-key': process.env.ELEVENLABS_API_KEY!,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify({
        text,
        model_id: 'eleven_v3',
        voice_settings: { stability: 0.5, similarity_boost: 0.75 },
      }),
    }
  );
  return response.body!; // Stream audio chunks
}

3. Speech-to-Text (STT)

// OpenAI Whisper transcription
import OpenAI from 'openai';

const openai = new OpenAI();

async function transcribeAudio(audioFile: File) {
  const transcription = await openai.audio.transcriptions.create({
    file: audioFile,
    model: 'whisper-1',
    response_format: 'verbose_json',
    timestamp_granularities: ['word', 'segment'],
  });
  return transcription;
}

4. Video Generation

// Replicate video generation (async with webhook)
async function generateVideo(prompt: string) {
  const prediction = await replicate.predictions.create({
    model: 'minimax/video-01',
    input: { prompt, duration: 5 },
    webhook: `${process.env.APP_URL}/api/webhooks/replicate`,
    webhook_events_filter: ['completed'],
  });
  return prediction.id; // Poll or wait for webhook
}

5. Production Patterns

• Async Processing: Always use background jobs (BullMQ, Inngest) for generation tasks >2s.
• Webhook Architecture: Use webhooks for Replicate predictions instead of polling.
• Content Safety: Implement NSFW filtering (OpenAI Moderation API, Replicate safety checker).
• Cost Control: Set per-user daily limits. Cache identical prompts. Use cheaper models for drafts.
• Storage Pipeline: Generate → upload to S3/R2 → serve via CDN → store URL in DB.

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Bahasa Indonesia

Integrasi Orkestrasi

• ai-llm-integration-expert: Pola LLM inti dan pemilihan model.
• file-upload-media-expert: Penyimpanan, CDN, dan pipeline media untuk aset yang dihasilkan.
• sse-websocket-streaming-expert: Streaming real-time untuk generasi gambar/audio progresif.
• async-queue-temporal-expert: Pemrosesan job latar belakang untuk tugas generasi yang lama.

Deskripsi

Panduan tingkat produksi untuk mengintegrasikan generasi media berbasis AI ke dalam aplikasi web dan mobile. Mencakup generasi gambar (Flux 1.1 Pro, SDXL, DALL-E 3), generasi video (Sora, Runway Gen-3), text-to-speech (ElevenLabs v3, OpenAI TTS), speech-to-text (Whisper large-v3, Deepgram Nova-3), dan kloning suara.

Kondisi Pemicu

• Mengintegrasikan generasi gambar AI (Flux, DALL-E, Stable Diffusion).
• Membangun fitur text-to-speech atau speech-to-text.
• Mengimplementasikan kloning suara atau generasi avatar AI.
• Menambahkan kemampuan generasi atau editing video AI.
• Membangun pipeline pemrosesan media dengan model AI.