Відео

Yikes, lots of tokens for no reason.

Here's a detailed breakdown from the transcript of the steps to build the automated faceless video creation system: Set up the Airtable base: a. Create tables: Stories: Main table to manage overall video projects Scenes: Breakdown of each story into individual scenes Story Types: Define different types of stories and associated prompts Video API: Track media generation requests and results b. Set up fields in Stories table: Story ID (Auto Number) Story Type (Link to Story Types) Scenes (Link to Scenes) Source (Long text) Generated Story (Long text) Ready to Go (Checkbox) Done (Checkbox) Video (Attachment) Number of Scenes (Formula) Completed Scenes (Formula) Ready (Formula) c. Set up fields in Scenes table: Scene ID (Auto Number) Story (Link to Stories) Scene (Long text) AI Image Prompts (Long text) Videos (Lookup from Video API) Audio (Attachment) Combined Video (Attachment) Merged Audio and Video (Attachment) Number of Videos (Count) Completed Videos (Count) Ready (Formula) d. Set up fields in Story Types table: Story Type Story Prompt Text (Long text) Scenes JSON Prompt (Long text) Output Width (Number) Output Height (Number) Image Width (Number) Image Height (Number) e. Set up fields in Video API table: Job ID (Text) Video (Attachment) Scene (Link to Scenes) f. Create views for different stages of the process: Generate Story Generate Scene Videos Build Scene Audio and Video Merge Audio and Video Build Full Video Configure Make.com automations: a. Set up webhooks: Leonardo AI image generation callback Leonardo AI video generation callback Json-to-video scene completion callback Json-to-video full video completion callback b. Create main automation flows: Generate Story and Scenes Generate Scene Videos Build Scene Audio and Video Merge Audio and Video Build Full Video Implement the story generation process: a. Trigger from Airtable when "Ready to Go" is checked b. Retrieve story details from Airtable c. Use GPT API to generate full story based on source and story type prompt d. Update Airtable with generated story e. Use GPT API to generate scene breakdowns and AI image prompts f. Create records in Scenes table for each generated scene Set up image/video generation: a. Trigger for each scene without associated media b. Use Leonardo AI API to generate still images or animated videos: For still images: Make one API call For animated videos: Make two API calls (still image, then animation) c. Update Video API table with job IDs and media URLs d. Link generated media to corresponding scenes Implement audio generation: a. Use 11Labs API to generate voiceovers for each scene b. Save generated audio to Google Drive c. Create shareable link for the audio file d. Update Scenes table with audio file URL Create scene videos: a. Use Json-to-video API to combine images/videos with audio for each scene b. Configure video parameters (FPS, dimensions, zoom effects) c. Set up webhook for completion notification d. Update Scenes table with combined scene video URL Assemble final video: a. Trigger when all scenes for a story are ready b. Retrieve all scene videos for the story c. Use Json-to-video API to combine all scene videos d. Add captions to the final video e. Set up webhook for completion notification f. Update Stories table with final video URL Set up error handling and retries: a. Implement "Break" modules in Make.com for rate limit handling b. Add error filters for specific error codes (e.g., 429 for rate limits) c. Configure retry attempts and intervals Create and configure Airtable views: a. Set up filters to manage workflow stages b. Create views to trigger different automation stages c. Design views for easy monitoring and management of the process Test the entire process: a. Run test cases with different story types and sources b. Monitor each stage of the automation c. Verify output quality and consistency d. Identify and fix any issues or bottlenecks Optimize and refine: a. Adjust prompts and parameters for better output quality b. Fine-tune automation timings and error handling c. Optimize Airtable base structure and formulas if needed Optional: Modify for animated videos a. Update Leonardo AI API calls to generate animated videos b. Modify Json-to-video configuration to handle animated inputs c. Adjust timing and transitions in final video assembly Documentation and maintenance: a. Document the system architecture and workflow b. Create user guides for operating the system c. Set up monitoring for API usage and quotas d. Plan for regular updates and maintenance of the system This detailed breakdown provides a comprehensive guide to building and implementing the automated faceless video creation system, allowing for customization and expansion as needed.

What camera do you use? And how do you zoom in into each part again and again?

@StephenGPope Airtable has changed the plan and now "Run script" is not free...

Wow great video, is there a way to buy an Airtable template off of you?

Thanks for the latest version update. Very informative and useful!

It’s helpful to watch how you locate and correct errors during development. 👍🏼

Awesome system! I love the idea. Is it possible to swap out the AI Text Nodes with AI Image Generating nodes instead?

👉 AI automation HOW-TOs + Community → www.skool.com/no-code-architects 👉 Easily distribute 100+ pieces content/week → kontentengine.io

Your work is very good, I just have one question, my video is longer than 60 seconds, which generates a json plan error, how can I limit my videos so that the duration is a maximum of 60 seconds?

To follow everything what you did on this video, is there any payment needed? Or everything can be done on free version? Such as air table, json etc. Thank you so much!

what’s the rationale for creating the automation and web hook vs having Make watch for new records in the Reviewed view in AirTable?

Thank you so much. That was awesome. I can’t believe how fast you talked. It’s not a bad thing I can slow you down. And watch it again, but I can’t imagine go yourself and drink of water 😂 like an hour you were like an auctioneer.😂you might be really really good at editing and I didn’t catch it, but you didn’t mess up at all like a perfect marathon sprint checked out your school that’s cool. I’ll hang out there but can’t afford it yet.

I am confused that the video created using ai and ai voiceover will monetize on youtube or not. ? Otherwise there is no worth using ai

Hey Stephen , very good video . I can do better editing in your videos which can help you to get more engagement in your videos . Pls lmk what do you think ?

Is there any other alternatives for downloading audio (away from Slack)?

Wow, now that’s the next level Excel

Is the content in your skool is the same as youtube ?

Do u have a class on this, and HOW TO USE IT ?

amazing ideas!

🎉 excellent information. I would like to be in your skool community, but I have a question. Could I use all this information to make my content in Spanish? If the answer is yes, of course I pay the monthly payment of skool community 🤑👌.

Thank you

Man, I’m so glad that I found you. Quality content. Greetings from Poland.

Just subscribed. Gold nuggets the size of boulders @Stephen!! 😃 Questions: 1) Have you done a faceless video using your own voice? How much more does this add in the process? Even a automated you in the corner (I know its not faceless) but using realistic AI avatars from HeyGen? 2) How many videos are you producing (on average) with the price ($100) you mentioned earlier? Wayne

Very helpful thank you. Have you come across any other methods for a smooth transition to your landing page whilst using a link?

Banger.

Thanks for showing people how to produce more TRASH 🗑️ Fkn UNORIGINAL grift creators need to be stopped 🛑

Well crap...do I have to buy an Apple to do this? hehe.

Still can't see how video is published on UA-cam...

If I want to use the JSON2Video API Key I need to subscribe? bro your video is great but I wish the next time you would say at the beginning that for most of the tutorial here I need to have an upgraded account for each platform

Great video!

So you created a whole system?

Bad presentation. Hard to follow and impossible to comprehend.

Wow, i am going to be a member of your group monday. 5 week vacation going to be spent on learning this + more. This just opened my mind and ideas are flowing in. Excited, see you there!

Keep in mind it's going to cost you about $200 in subscriptions (per month) just to start- Plus, depending how much you do, it'll cost more on top of that. Not saying that's a bad thing- But be prepared to pay some up front costs.

Anyone else have issues getting the text parser to work properly? With global match on, I'm still only getting the last item out of the parser rather than all of them. So only 1 tweet is appending to airtable. Could this need to be modified? I've scoured everything: (.+?)(?: ? ? | |$)

Might be a silly question but it seems like everyone who is all in on their Skool strategy has two separate skool communities, does a single plan allow you to have a free and a paid community or is every single person just forking over $200/mo for two seperate communities?

Does Skool also have a Make integration that can give access to a specific course or is it Zapier exclusive right now?

What screen recorder are you using to actively draw these arrows? It feels really engaging for the viewer it's a great format for teaching to help your viewers stay focused.

Fantastic, great video you will grow massive sharing this level of knowledge 👌

Great content. What presentation software do you use to draw arrows and refer to your screenshots while working through the amazingly elegant outliner that allows you to click on the next topic you want to adddress? Not even Perplexity knows.

Discount code please! I have $50 bucks right now

🎯 Key points for quick navigation: 04:12 *📊 Building an Airtable database for automating video creation involves creating separate tables for stories, scenes, and media, enabling structured management and organization.* 06:36 *🛠️ Structuring a database includes setting up tables for different story types and scenes, utilizing linked records for flexibility and efficient data management.* 08:19 *🎬 Defining output dimensions and prompts in Airtable ensures accurate generation of scenes and media for videos, crucial for maintaining quality and format consistency.* 09:28 *🔗 Linking records between tables allows for seamless data flow and automation triggers, simplifying the process of managing and updating video projects.* 14:06 *📅 Adding timestamp and modification fields aids in tracking changes and debugging within the database setup, enhancing project management capabilities.* 19:49 *🛠️ Stories and automations are organized into distinct categories for easier management in Airtable.* 20:02 *📊 Columns are customized and adjusted in Airtable to optimize visibility and functionality during debugging.* 21:45 *🎬 Automation processes are segmented into clear steps: story and scene creation, image generation, and video assembly.* 22:14 *🤖 Automated processes are named and organized logically in Airtable for efficient workflow management.* 25:26 *🔄 Triggered automations in Airtable utilize web hooks to initiate processes based on specific conditions.* 26:35 *🚀 Airtable scripts execute automation steps, integrating data processing and external API interactions seamlessly.* 29:07 *📝 Airtable records are dynamically updated with generated content using automated scripts and data transformations.* 32:07 *🖼️ Iterative processes in Airtable manage and convert data formats efficiently for subsequent processing steps.* 34:39 *🎞️ Sequential automation steps in Airtable handle image and video generation systematically, enhancing workflow accuracy and efficiency.* 38:59 *🖥️ Adding the iterator for looping through array values in automation setups.* 39:13 *🛠️ Setting up web hooks in Airtable for receiving triggers from Leonardo module.* 39:42 *🔄 Using API keys and ensuring correct billing setup for Leonardo image generation.* 41:10 *📊 Configuring image dimensions and parameters for Leonardo API integration.* 42:32 *🖼️ Checking Airtable for generated job entries from Leonardo's image creation process.* 43:27 *🔍 Adding and editing scripts for processing data within automation workflows.* 44:21 *🔄 Updating records in Airtable based on web hook triggers from external APIs.* 45:42 *🎛️ Managing automation triggers and testing web hooks for data integration.* 46:12 *📈 Reviewing and managing data entries in Airtable for processed automation tasks.* 47:05 *🎥 Initiating video generation using JsonToVideo.com for combining still images.* 48:01 *🎙️ Configuring automation filters and views in Airtable for audio-video synthesis.* 49:14 *🔄 Automating and testing scene generation triggers in integrated workflows.* 50:47 *🎞️ Building Json structures and iterating through video arrays for data handling.* 53:21 *📊 Configuring parameters and APIs for JsonToVideo scene rendering and integration.* 55:00 *📞 Setting up web hooks and making HTTP requests for JsonToVideo scene rendering.* 57:01 *📈 Updating Airtable records with URLs from JsonToVideo for finalized scene videos.* 58:54 *📁 Uses Google Drive to save generated files from 11 Labs, setting up a temporary directory for uploads and managing shared links for file access.* 59:37 *📎 Demonstrates the process of creating a shared link in Google Drive to integrate with Airtable, ensuring correct file ID usage and permissions.* 01:00:18 *🎬 Updates records in Airtable with audio URLs generated from scenes, utilizing web content links and original record IDs for seamless integration.* 01:01:12 *🖇️ Sets up a new view in Airtable to merge audio and video files, ensuring conditions for video and audio existence and empty merge field for automation.* 01:05:18 *🎥 Prepares Json to video for merging audio and video, configuring elements such as source URLs and durations to synchronize audio and video lengths.* 01:17:45 *🎬 Adjust output width and height parameters for video scenes to ensure correct rendering.* 01:18:14 *📑 Configure a new export destination in Make for web hooks, specifying application/json content type.* 01:18:28 *🖇️ Clone and rename a web hook endpoint in Airtable for Json to full video conversion.* 01:18:54 *📝 Add subtitle elements to video scenes, setting font size to 75 and using "Luckiest Guy" font family.* 01:19:37 *🎥 Stack modules in Make to concatenate scenes and fix broken values in JSON string requests.* 01:20:31 *📊 Verify successful video rendering in Make dashboard after triggering full video build in Airtable.* 01:21:51 *🔄 Turn on final automation test in Make for animated video production instead of static images.* 01:36:15 *🎬 Automated video creation successfully refreshed and started processing new content.* 01:36:28 *🔄 Content merging underway for audio and video segments.* 01:36:42 *🎥 Final video creation process initiated after completing segment merges.* 01:36:56 *🛠️ Rendering and processing of the final video in progress.* 01:37:23 *📹 Final video completed, featuring a tech-savvy burglary narrative in Los Angeles.* 01:37:49 *🔍 Insights into a $30 million high-tech cash heist in Los Angeles, highlighting emerging threats in security technology.* Made with HARPA AI

the goat is back with another banger!

Why do you use skool over Kajabi?

Amazing. 100k Subs within 6 months. Calling it now.