Create million-view factory workflow videos using ChatGPT and Google Flow.

The step-by-step process for creating highly consistent factory production line simulation (AI Factory Process ASMR) videos with millions of views uses ChatGPT, Google Flow Scenes, and Clipchamp.

The AI Factory Process / How It's Made ASMR content niche is attracting tens of millions of views and generating impressive passive income on YouTube and TikTok. The visually satisfying experience of watching raw potatoes being washed, sliced incredibly thinly, deep-fried to a golden crisp in boiling oil, and automatically packaged into individual potato chips results in an extremely high audience retention rate.

This entire high-quality factory video sequence can be 100% automatically generated using AI without cameras or visits to the actual factory, thanks to a combination of: • ChatGPT: Acting as an industrial process engineer, it automatically creates a sequential script from raw materials to finished product packaging and generates detailed prompts for each stage. • Google Flow: Uses the "Scenes" feature to lock in a consistent factory design style, stainless steel machinery colors, and industrial lighting system before rendering 16:9 motion video (Omni Flash model). • Clipchamp / CapCut: Connects timelines in a logical sequence and integrates multi-layered industrial machinery audio.

Sample concept: “Crispy Potato Chips Factory”

• Setting: A modern, automated food processing plant with a clean, polished gray tile floor, gleaming stainless steel machinery, and industrial fluorescent lighting. • Six-Step Process: 1. Automatic potato washing and peeling using a high-pressure whirlpool. 2. Conveyor belts pass through circular blades for ultra-thin, evenly sliced potatoes. 3. Potato slices slide into a bubbling hot oil frying tank, turning them golden brown and crispy. 4. A rotating drum evenly distributes chili powder and cheese salt onto each potato slice. 5. Electronic scales and packaging machines drop the potatoes into airtight bags. 6. Finished potato chips are neatly arranged on a conveyor belt for shipment. • Format: Horizontal 16:9 video (YouTube Video / Customizable Shorts), 6 scenes combined, approximately 24–30 seconds long.

5-Step Process for Producing Factory Assembly Line Videos

Step 1: Master Prompt creates a process script on ChatGPT.

Open ChatGPT and paste the Master Prompt below to receive the list of factory ideas and the complete storyboard prompt:

You are an Industrial Process Engineer and Viral Video Producer specializing in creating viral factory production line simulation videos (AI Factory Process / How It's Made ASMR) with millions of views on YouTube.

Please assist me with the following process:
1. Phase 1: Suggest 10 of the most compelling FOOD & CONSUMER GOODS FACTORY PROCESS IDEAS (e.g., Potato Chips, Gummy Bears, Soda Cans, Chocolate Bars, Crayon Factory...). Ask me to choose one product.

2. Phase 2: After I choose (e.g., Potato Chips Factory), automatically design a logical 6-STEP PRODUCTION process from raw materials to finished product.

3. Phase 3: Output the script including:

- SCENE_ID (1 to 6)

- STAGE_NAME (Stage Name)

- KEYFRAME_IMAGE_PROMPT (English, Nano Banana 2 model standard, 16:9 aspect ratio, Industrial Factory Photography style, stainless steel, realistic factory lighting, no meaningless text).

- VIDEO_MOTION_PROMPT (English, Omni Flash model standard, 4s duration, depicting micro-mechanical movement, conveyor belt running, swirling water, boiling oil, rising steam).

Let's start with the list of 10 ideas from Phase 1!

Step 2: Create a consistent Keyframe sequence using the Scenes feature (Google Flow).

After ChatGPT exports the script, open Google Flow > Select "Scenes" in the left navigation bar. Create six storyboard images sequentially using Model Nano Banana 2 in a 16:9 aspect ratio:

Scene 1 (Wash & Peel):
Horizontal 16:9 industrial factory photography. High-tech stainless steel potato washing machine with high-pressure water jets cleaning fresh raw potatoes in a modern automated food processing plant. Bright commercial fluorescent lighting, reflective metallic machinery, pristine clean environment, 8k resolution, photorealistic textures, no text.

Scene 2 (Slicing super thin):
Horizontal 16:9 closeup shot. Automated industrial rotary slicing blades cutting clean potatoes into ultra-thin, perfectly even potato slices landing onto a fast-moving metallic conveyor belt. Crisp water drops, mechanical precision, shiny stainless steel, macro depth of field.

Scene 3 (Fry in boiling oil until golden brown):
Horizontal 16:9 wide macro shot. Thin potato slices frying inside a massive industrial deep fryer vat filled with bubbling golden oil. Gentle white steam rising, crispy golden-brown texture forming on chips, industrial factory setup, photorealistic fluid dynamics.

Scene 4 (Spiced rotating cage):
Horizontal 16:9 interior view. Golden crispy potato chips tumbling smoothly inside a large rotating stainless steel seasoning drum as vibrant orange paprika and spice powder evenly coats every chip. Soft dust clouds of seasoning, warm appetizing lighting.

Scene 5 (Weighing & Closing the bag):
Horizontal 16:9 automated packaging line. Overhead multi-head weigher dropping seasoned potato chips down into forming foil bags, heated sealing jaws clamping shut to create airtight puffed snack bags. Fast mechanical motion, industrial robotics.

Scene 6 (Finished product):
Horizontal 16:9 hero shot. Perfectly sealed, glossy branded-style potato chip snack bags moving in single file along a final conveyor belt towards shipping cartons. Warm warehouse lighting, professional industrial commercial aesthetic.

Step 3: Animate the mechanical movements using Video Mode (Google Flow)

After all 6 scene images are completed in the Scenes tab, switch to Video Mode: 1. Drag Scene 1 image into the prompt box > Select Model: Omni Flash > Set Aspect Ratio to 16:9 and Duration: 4 seconds. 2. Paste the corresponding Video Motion Prompt for Scene 1 from ChatGPT and press Generate. 3. Repeat the same process for the remaining 5 scenes by matching each Keyframe image with its corresponding video motion command.

Sample Prompt Video (Oil Frying Scene - Scene 3):
Smooth forward tracking camera across the industrial fryer. Thousands of thin potato slices submerge and glide through the hot bubbling golden oil at a steady pace. Fine sizzling bubbles burst realistically on the surface as gentle wisps of steam drift upward. Authentic fluid thermodynamics, flawless stainless steel reflections, smooth 24fps mechanical motion, no glitch.

Step 4: Post-processing of mechanical audio and merging the timeline in Clipchamp.

Download all 6 video clips to your computer, open Clipchamp (or CapCut), and proceed with editing: • Arrange the 6 clips in the correct order of the production process (from Scene 1 to Scene 6) on a 16:9 timeline. • Layer ASMR (Foley) industrial machinery sounds: - Scene 1: High-pressure water hiss. - Scene 2: High-speed metal cutting machine. - Scene 3: Deep frying sizzle. - Scene 4: Metal cage rotating and potatoes falling. - Scene 5: Pneumatic piston hiss and heat sealing machine clicking. • Add background music: A gentle Electronic Uplifting or Synthwave track at -20dB to create a modern process feel.

Quality control checklist before publication.

Lean manufacturing system

Master Prompt ChatGPT (Chọn sản phẩm & lên 6 công đoạn)
→ Tạo 6 ảnh Keyframe bằng tính năng Scenes (Google Flow - Nano Banana 2, 16:9)
→ Diễn hoạt 6 clip video chuyển động cơ khí (Google Flow - Omni Flash, 4s)
→ Nhập clip vào Clipchamp theo đúng thứ tự 1 đến 6
→ Layering âm thanh ASMR máy móc công nghiệp + Nhạc nền hiện đại
→ Xuất bản video hoàn chỉnh chất lượng 4K

Leveraging the Scenes feature on Google Flow gives you absolute control over the aesthetics and authenticity of each workshop, unlocking unlimited production potential for specialized channels focusing on processing technology and industrial manufacturing.