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1. Script & Storyboard Generation

Start with a text prompt or structured data and use an LLM such as Llama 3 or DeepSeek to generate a full video script, scene descriptions, and negative prompts automatically.

2. Visual Asset Creation

Pass scene descriptions into a text-to-image model like FLUX.1 to create consistent characters and backgrounds for each scene. These images become keyframes for the rest of the pipeline.

3. Motion Generation (Image-to-Video)

Feed generated keyframes into an image-to-video model such as Wan 2.1 or Kling so the final video keeps the exact style and composition of the original images.

4. Audio & Lip Sync

Generate voiceovers using text-to-speech and synchronize narration with on-screen characters using lip-sync models like avatar lip sync for natural, on-beat dialogue.

5. Upscaling & Compiling

Finish by upscaling video to 4K and stitching clips together using tools like FFmpeg via WaveSpeed pipeline integrations, so you can output ready-to-publish files in one automated flow.

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Social Media Automation

Workflow Stage

Input

Trending news topic or Reddit thread URL.

Action

Summarize text → generate 4 image scenes → animate images → add AI voiceover.

Model / Technology

Llama 3 + FLUX.1 + Wan 2.1 + TTS

Output: A ready-to-post 60-second vertical video (Shorts/Reels) as MP4.

E-commerce Personalization

Workflow Stage

Input

User name + product ID + purchase history from your CRM.

Action

Generate a personalized “thank you” script and render an avatar speaking the user’s name.

Model / Technology

LLM + SadTalker / Vidu + email API integration

Output: A personalized video emailed within 5 minutes of purchase.

Frequently Asked Questions

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