How to automate AI ASMR fruit videos with prompts

TL;DR

The system automates idea generation, video creation, and posting for ASMR fruit videos using AI prompts and Google V3. It pulls seven past objects, generates a new one, creates a high quality prompt, converts it to video, and posts to YouTube, TikTok, and Instagram on a schedule. This enables hands free autopilot content creation and distribution.

Transcript

Okay, so these types of shorts have been going viral all over social media, and they are completely generated with AI. They're really satisfying. It's like a knife cutting through a glass fruit or some sort of object that you probably couldn't cut if it was glass, but it goes right through and it sounds great. Now, in order for those videos to be h... Read More

Key Insights

• The system centers on an autopilot workflow that cycles through idea generation, video creation, and posting.
• The idea engine uses a seven item history to generate a new, visually compelling object not previously used.
• Prompts are structured and specific, guiding the text to video output to a cinematic ASMR style.
• Video generation relies on a text to video model accessed via API, such as Google V3, for consistent results.
• The workflow includes an automated posting step that distributes content to YouTube, TikTok, and Instagram.
• Scheduling controls let the user decide how many times per day the automation runs.
• The process uses a structured output format to ensure predictable results from the AI prompts.
• The creator offers a free template and prompts in their course to help others replicate the system.
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Questions & Answers

Q: How does the autopilot system generate new ASMR fruit ideas?

The system reads a sheet of the seven most recent posts, then an idea agent selects a new fruit not on that list. It uses a structured prompt to describe the object and footage, ensuring the output stays within a close up ASMR style and is visually compelling.

Q: What role do prompts play in video quality?

Prompts determine scene description, object details, cutting action, sound, camera motion, and ambiance. They are formatted into a nine field template to guide the text to video model, producing consistent, high quality prompts that translate into engaging ASMR videos.

Q: How is the video actually produced from the prompt?

The prompt is sent to a text to video model via an API like Google V3 through the FAL tool. The model generates the video based on the structured prompt, with options to produce audio along with video for a complete ASMR experience.

Q: How does posting across platforms work in this system?

Once the video is generated, the workflow updates a sheet and posts to YouTube, TikTok, and Instagram. The system schedules posts and can repeat the workflow multiple times per day, keeping content fresh across platforms.

Q: What technology stack is used to automate the workflow?

The process uses n8n for automation and Google V3 for video generation, with a Google Sheet as the data source and Botato for management. The system is set up to run on a trigger and execute a series of actions automatically.

Q: What does the autopilot schedule control do?

The schedule trigger lets you specify how many times per day the workflow runs. This enables continuous posting without manual intervention, ensuring a steady stream of AI generated content.

Q: What is included in the free resources mentioned?

The video cleaners mention a free template and prompts available in a free school, along with access to the exact prompts used to generate the videos. This helps others replicate the system for themselves.

Q: What is the main benefit of using this system according to the video?

The main benefit is hands free content creation and distribution. It automates idea generation, video production, and posting, allowing creators to scale ASMR content efficiently without manual steps.

Summary & Key Takeaways

• The video explains a live demonstration of an autopilot workflow that generates new ASMR fruit ideas, creates video prompts, renders content with Google V3 and uploads to social platforms. It emphasizes automation scheduling, database use, and repeated posting to keep content fresh.

• The core workflow consists of idea generation from a seven item history, prompt generation for a glass fruit, video rendering via a text to video model, and automated posting to multiple social networks.

• The creator highlights the free template and prompts available, and shows how prompts improve over time to yield better social media results while maintaining a consistent posting cadence.