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MJFH x Home Alone Thumbnail Workflow Using Weavy + Nano Banana Pro. (Full workflow in thread) PROCESS: 01. Build Characters 02. Swap Outfits 03. Create Character Sheets 04. Build + Iterate Scenes 05. Add Text + Iterate 06. Keyframe animation (for fun). System prompts are the 👌 here. #nanobanana #promptshare

Rory Flynn

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42,287 görüntüleme • 8 ay önce •via X (Twitter)

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Batch generating w. Nano Banana + Weavy. No prompt consistent product workflow. + Input: 1 Image + Output: 20 images (Full Weavy Workflow in thread) PROCESS: 01. Upload base image. 02. Create varied image angles. 03. Create new prompts per angle 04. Generate images 05. Combine with Kling 2.1 keyframes #nanobanana #promptshare

Batch generating w. Nano Banana + Weavy. No prompt consistent product workflow. + Input: 1 Image + Output: 20 images (Full Weavy Workflow in thread) PROCESS: 01. Upload base image. 02. Create varied image angles. 03. Create new prompts per angle 04. Generate images 05. Combine with Kling 2.1 keyframes #nanobanana #promptshare

Rory Flynn

199,114 görüntüleme • 1 yıl önce

KODAK Saab 900 → Concept-to-Photoshoot. With Weavy + Nano Banana Pro + Kling 01. (Full Workflow in thread) PROCESS: 01. Generate base car model. 02. Apply design to car render. 03. Iterate render shots. 04. Bring to life with NBP. 05. Gen some videos with Kling. Really like how nano applies design language. #nanobanana #promptshare

KODAK Saab 900 → Concept-to-Photoshoot. With Weavy + Nano Banana Pro + Kling 01. (Full Workflow in thread) PROCESS: 01. Generate base car model. 02. Apply design to car render. 03. Iterate render shots. 04. Bring to life with NBP. 05. Gen some videos with Kling. Really like how nano applies design language. #nanobanana #promptshare

Rory Flynn

99,375 görüntüleme • 9 ay önce

POLAROID F40 → Concept to Photoshoot. With Nano Banana Pro + Weavy. (Full workflow in thread). PROCESS: 01. Generate base car model. 02. Apply design to car render. 03. Iterate render shots. 04. Bring to life with NBP. 05. Gen some videos with Kling. Nano has way more "style" than I thought. #nanobanana #promptshare

POLAROID F40 → Concept to Photoshoot. With Nano Banana Pro + Weavy. (Full workflow in thread). PROCESS: 01. Generate base car model. 02. Apply design to car render. 03. Iterate render shots. 04. Bring to life with NBP. 05. Gen some videos with Kling. Nano has way more "style" than I thought. #nanobanana #promptshare

Rory Flynn

92,111 görüntüleme • 9 ay önce

MALBORO DAKAR T5 → Concept-to-Photoshoot. With Weavy + Nano Banana Pro + Kling 01. (Full Workflow in thread) PROCESS: 01. Generate base T5 model. 02. Apply design to car render. 03. Iterate render shots. 04. Bring to life with NBP. 05. Apply drone aesthetic. 05. Gen some videos with Kling. Building on previous workflows (see thread). Adding drone + Deep DoF grouping. #nanobanana #promptshare

MALBORO DAKAR T5 → Concept-to-Photoshoot. With Weavy + Nano Banana Pro + Kling 01. (Full Workflow in thread) PROCESS: 01. Generate base T5 model. 02. Apply design to car render. 03. Iterate render shots. 04. Bring to life with NBP. 05. Apply drone aesthetic. 05. Gen some videos with Kling. Building on previous workflows (see thread). Adding drone + Deep DoF grouping. #nanobanana #promptshare

Rory Flynn

187,426 görüntüleme • 8 ay önce

Dumb Idea-to-Workflow 👇 Cadillac El Dorado PodRacer Photoshoot. With Weavy + Nano Banana + Kling 01. (Full workflow in comments) PROCESS: 01. Pull ref images 02. Generate Podracer concept 03. Apply design to render 04. Iterate shot angles 05. Bring to life with NBP 06. Apply drone logic 07. Gen some vids w. Kling (for fun) Tried to make it one continuous shot. Nano really does the work here.

Dumb Idea-to-Workflow 👇 Cadillac El Dorado PodRacer Photoshoot. With Weavy + Nano Banana + Kling 01. (Full workflow in comments) PROCESS: 01. Pull ref images 02. Generate Podracer concept 03. Apply design to render 04. Iterate shot angles 05. Bring to life with NBP 06. Apply drone logic 07. Gen some vids w. Kling (for fun) Tried to make it one continuous shot. Nano really does the work here.

Rory Flynn

43,537 görüntüleme • 8 ay önce

Might as well learn something... Nano Banana Pro Diagram Suite in Weavy. (Full workflow in thread) WORKFLOW: + (1) Input Image = (16) Forensic Diagrams + Breaks down an image + Into various visual forensics + Using (16) system prompts. DIAGRAMS: + Geometry, Spacing, Composition + Light, Color, Narrative + Optics & Surface Materials + Psychology & Flow + Tokenizer Still figuring out more uses for this. But useful visualization nonetheless. #nanobanana #promptshare

Might as well learn something... Nano Banana Pro Diagram Suite in Weavy. (Full workflow in thread) WORKFLOW: + (1) Input Image = (16) Forensic Diagrams + Breaks down an image + Into various visual forensics + Using (16) system prompts. DIAGRAMS: + Geometry, Spacing, Composition + Light, Color, Narrative + Optics & Surface Materials + Psychology & Flow + Tokenizer Still figuring out more uses for this. But useful visualization nonetheless. #nanobanana #promptshare

Rory Flynn

170,115 görüntüleme • 8 ay önce

Designing my own Acura NSX. W. Weavy + NB2 + Kling 3 + Seedance 2.0 (Full workflow + prompts in thread) PROCESS: 01. Gen base model design 02. Make aesthetic mods 03. Add branding + logos 04. Gen multi-angles 05. Animate for fun Used my logo and clients' to design the car. It's just all I want to do at this point.

Rory Flynn

17,101 görüntüleme • 6 ay önce

The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory

The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory

Alex Nguyen

35,728 görüntüleme • 6 ay önce

Yesterday I ran a full test inside INVIDEO with Nano Banana 2 (Nano Banana Pro). Invideo made it free and unlimited for 365 days on any paid plan till Nov 27, so the timing lined up and I pushed it through my full workflow. It blew me away. Here are the test cases I ran (the thread shows the results): - Realistic skin texture - Face swap and character replacement - Combine 4 images at a time with high-quality results - Multi-angle generation and Multi-profile character shots - Text adherence - Prompt adherence - Relighting Comment ‘invideo’ to get access. Now here’s each use case with RESULTS Like, REPOST and leave your thoughts.

Beginnersblog

18,559 görüntüleme • 10 ay önce

How to Create Unlimited AI Videos with Consistent Characters (100% FREE Grok + Google Flow Tutorial) In this video you will learn how to use Grok and Google Flow to create high quality AI videos with consistent characters from start to finish without paying for expensive software. You will learn the exact workflow for writing stories, generating character sheets, creating consistent AI images, animating scenes, adding AI voiceovers, and editing everything into a finished video. This tutorial covers AI character consistency, image generation, scene automation, AI animation, voice generation, and the complete process for creating professional AI videos using free tools. This information is for both new and experienced creators who want to produce high quality AI animations, build faceless YouTube channels, and automate their content creation workflow in 2026. MASTER PROMPT: ( CAMERA DIRECTION PROMPT: ( Like, Retweet and Bookmark. Follow BIG CHRIS Video Credit: BigWiz Media 🤝(

How to Create Unlimited AI Videos with Consistent Characters (100% FREE Grok + Google Flow Tutorial) In this video you will learn how to use Grok and Google Flow to create high quality AI videos with consistent characters from start to finish without paying for expensive software. You will learn the exact workflow for writing stories, generating character sheets, creating consistent AI images, animating scenes, adding AI voiceovers, and editing everything into a finished video. This tutorial covers AI character consistency, image generation, scene automation, AI animation, voice generation, and the complete process for creating professional AI videos using free tools. This information is for both new and experienced creators who want to produce high quality AI animations, build faceless YouTube channels, and automate their content creation workflow in 2026. MASTER PROMPT: ( CAMERA DIRECTION PROMPT: ( Like, Retweet and Bookmark. Follow BIG CHRIS Video Credit: BigWiz Media 🤝(

BIG CHRIS

73,798 görüntüleme • 3 ay önce

A 19-euro tool just replaced 8,000 Meta employees. Here’s the exact workflow a TikTok creator used to build AI influencer videos from scratch — no camera, no team, no budget. Step 1. Open Pinterest. Search “Girl Self.” Save the image you like. Open Nanobanana Pro. Step 2. Swap the face using a single prompt. (Link at the bottom.) Step 3. Take your generated photo into Crust. Currently the easiest video-from-image tool on the market. Step 4. Create 3 nodes: reference image, text, video generator. Step 5. Drop your photo into the image node. Write a video prompt into the text field. This is what makes the photo move. Step 6. Connect the nodes. Text to text-in. Image to image-in. Select Kling 2.6. Set duration. Toggle sound. Step 7. Hit generate. 2 prompts. 1 AI girl. 0 employees. Meta spent $14B on Reality Labs last year to build digital humans. This creator built one in 7 minutes for less than a dinner. The prompts are free in the reply.

A 19-euro tool just replaced 8,000 Meta employees. Here’s the exact workflow a TikTok creator used to build AI influencer videos from scratch — no camera, no team, no budget. Step 1. Open Pinterest. Search “Girl Self.” Save the image you like. Open Nanobanana Pro. Step 2. Swap the face using a single prompt. (Link at the bottom.) Step 3. Take your generated photo into Crust. Currently the easiest video-from-image tool on the market. Step 4. Create 3 nodes: reference image, text, video generator. Step 5. Drop your photo into the image node. Write a video prompt into the text field. This is what makes the photo move. Step 6. Connect the nodes. Text to text-in. Image to image-in. Select Kling 2.6. Set duration. Toggle sound. Step 7. Hit generate. 2 prompts. 1 AI girl. 0 employees. Meta spent $14B on Reality Labs last year to build digital humans. This creator built one in 7 minutes for less than a dinner. The prompts are free in the reply.

RGK

188,100 görüntüleme • 4 ay önce

VIBE CODING TUTORIAL: Creating a Viral Meme Mobile App Without Any Coding in 20 minutes! You can now build multi-step AI workflows on a drag and drop platform, and then connect that workflow to your vibe coded mobile app, in a single cursor prompt. This only scratches the surface on the different workflows you can create like this. IN THIS VIDEO 00:00 Intro 00:36 Overview: MultiStep AI Backend on GLIF 01:33 Using Glif as an API 03:49 The backend for our app 04:36 Structured Outputs (Important for Vibe Coding, skip if you know what these are) 06:40 Image Workflow for the meme 08:34 Let's Protototype on 11:09 Setting this up with Cursor 18:40 Testing with

VIBE CODING TUTORIAL: Creating a Viral Meme Mobile App Without Any Coding in 20 minutes! You can now build multi-step AI workflows on a drag and drop platform, and then connect that workflow to your vibe coded mobile app, in a single cursor prompt. This only scratches the surface on the different workflows you can create like this. IN THIS VIDEO 00:00 Intro 00:36 Overview: MultiStep AI Backend on GLIF 01:33 Using Glif as an API 03:49 The backend for our app 04:36 Structured Outputs (Important for Vibe Coding, skip if you know what these are) 06:40 Image Workflow for the meme 08:34 Let's Protototype on 11:09 Setting this up with Cursor 18:40 Testing with

Riley Brown

58,068 görüntüleme • 1 yıl önce

Most people have no clue how far you can get with Cursor AI now. I just filmed a full 3 hour 44 minute build-from-scratch guide showing the exact workflow I use to build production apps with agents, architecture, and revenue-ready features. 💰 If you’ve ever wondered how to build real software with nothing but prompting — and turn those skills into actual income — the full breakdown is right here. 🧱 Tech Stack (Lesson 1) - 00:01:30 🔧 Set Up (Lesson 2) - 00:11:13 🎨 Frontend (Lesson 3) - 00:42:56 🧠 Backend (Lesson 4) - 02:02:13 💰 Monetization (Lesson 5) - 02:58:36 🚀 Launch (Lesson 6) - 03:18:04 Final software we create in this series Take this software for free — it's open-source on GitHub! 🎁 Do you wanna watch this lesson by lesson?

Most people have no clue how far you can get with Cursor AI now. I just filmed a full 3 hour 44 minute build-from-scratch guide showing the exact workflow I use to build production apps with agents, architecture, and revenue-ready features. 💰 If you’ve ever wondered how to build real software with nothing but prompting — and turn those skills into actual income — the full breakdown is right here. 🧱 Tech Stack (Lesson 1) - 00:01:30 🔧 Set Up (Lesson 2) - 00:11:13 🎨 Frontend (Lesson 3) - 00:42:56 🧠 Backend (Lesson 4) - 02:02:13 💰 Monetization (Lesson 5) - 02:58:36 🚀 Launch (Lesson 6) - 03:18:04 Final software we create in this series Take this software for free — it's open-source on GitHub! 🎁 Do you wanna watch this lesson by lesson?

corbin

218,015 görüntüleme • 10 ay önce

Deep Dive Video: Complex image editing used to take hours — now Google's Gemini 2.0 turns advanced ComfyUI & Photoshop workflows into simple text prompts. Here's exactly how to try it (completely free). Chapters: 00:00 Conversational Editing with Google's Multimodal AI 00:53 Image Generation w/ LLM World Knowledge 02:12 Easy Image Editing & Colorization 02:46 Advanced Conversational Edits (Chaining Prompts Together) 03:37 Long Text Generation (Google Beats OpenAI To The Punch) 04:25 Making Spicy Memes (Google AI Studio Safety Settings) 05:48 Advanced Prompting (One Shot ComfyUI Workflows) 07:19 Re-posing Characters (While Keeping Likeness Intact) 08:27 Spatial 3D Understanding (NO ControlNet) 10:42 Semantic Editing & In/Out Painting 13:46 Sprite Sheets & Animation Keyframes 14:40 Using Gemini To Build Image Editing Apps 16:37 Making Videos w/ Conversational Editing

Deep Dive Video: Complex image editing used to take hours — now Google's Gemini 2.0 turns advanced ComfyUI & Photoshop workflows into simple text prompts. Here's exactly how to try it (completely free). Chapters: 00:00 Conversational Editing with Google's Multimodal AI 00:53 Image Generation w/ LLM World Knowledge 02:12 Easy Image Editing & Colorization 02:46 Advanced Conversational Edits (Chaining Prompts Together) 03:37 Long Text Generation (Google Beats OpenAI To The Punch) 04:25 Making Spicy Memes (Google AI Studio Safety Settings) 05:48 Advanced Prompting (One Shot ComfyUI Workflows) 07:19 Re-posing Characters (While Keeping Likeness Intact) 08:27 Spatial 3D Understanding (NO ControlNet) 10:42 Semantic Editing & In/Out Painting 13:46 Sprite Sheets & Animation Keyframes 14:40 Using Gemini To Build Image Editing Apps 16:37 Making Videos w/ Conversational Editing

Bilawal Sidhu

35,403 görüntüleme • 1 yıl önce

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

Lovis Odin

58,841 görüntüleme • 1 yıl önce

Day 4 of Vibe Jam Here's a video of my FULL workflow from SCRATCH → From idea to working game → 2 x characters → 2 x levels → Combo system → Custom level editor → Polish & juice Phaser 4 + Codex + Claude Code Using skills from my vibe jam starter pack (link in reply)👇 If you are figuring out how to get started - this is the video for you! --- 00:00 Intro 01:31 Get the Vibe Jam Starter Pack 02:46 Step 1: Game Idea 04:39 Step 2: Game Assets 07:38 Step 3: Game Engine 08:39 Step 4: AI Tool 09:17 Step 5: Assets Index 11:31 Step 6: Basic Movement & Controls 13:37 Step 7: Game Loop / Mechanics 15:22 Step 8: Iterate and Extend on Foundations 17:28 Step 9: Polish & Juice 19:23 Step 10: Tooling & Level Editor 22:22 Wrap Up

Day 4 of Vibe Jam Here's a video of my FULL workflow from SCRATCH → From idea to working game → 2 x characters → 2 x levels → Combo system → Custom level editor → Polish & juice Phaser 4 + Codex + Claude Code Using skills from my vibe jam starter pack (link in reply)👇 If you are figuring out how to get started - this is the video for you! --- 00:00 Intro 01:31 Get the Vibe Jam Starter Pack 02:46 Step 1: Game Idea 04:39 Step 2: Game Assets 07:38 Step 3: Game Engine 08:39 Step 4: AI Tool 09:17 Step 5: Assets Index 11:31 Step 6: Basic Movement & Controls 13:37 Step 7: Game Loop / Mechanics 15:22 Step 8: Iterate and Extend on Foundations 17:28 Step 9: Polish & Juice 19:23 Step 10: Tooling & Level Editor 22:22 Wrap Up

Chong-U

23,141 görüntüleme • 5 ay önce

Introducing GrokTerm 🖤 A Rust terminal built for Grok Build. A real shell, multi-tab sessions, MCP-ready, and native two-way Grok Voice. A voice agent in the terminal, not a chatbot floating above it. Chapters: 00:00 Intro to GrokTerm 00:17 Testing two way voice conversations 00:30 Create Tetris 00:39 Moon landing page 00:56 Create calculator 01:35 Move TUI tabs to the right 02:01 Open calculator in browser 02:22 Design calculator via voice 04:30 Open moon in browser 05:15 Redo Tetris in HTML 05:35 Check calculator 06:04 Moon images 06:36 Light mode (macOS) 07:10 HTML Tetris live 08:21 New agent · light mode 08:49 Calculator effects 10:08 Close tabs 10:24 Credits Why this is different: • Custom TUI host that embeds Grok’s own TUI in a real PTY, not a browser, not a fake terminal. • Multi-tab shell + Grok sessions with one shared control plane. • Two-way Grok Voice to open tabs, delegate work, and iterate live. • CLI on macOS (Linux builds available, not fully tested yet). • Standalone notarized GrokTerm app for macOS. This is a WIP (work in progress) and I expect to add many useful features as I learn how to make and modify TUIs.

Introducing GrokTerm 🖤 A Rust terminal built for Grok Build. A real shell, multi-tab sessions, MCP-ready, and native two-way Grok Voice. A voice agent in the terminal, not a chatbot floating above it. Chapters: 00:00 Intro to GrokTerm 00:17 Testing two way voice conversations 00:30 Create Tetris 00:39 Moon landing page 00:56 Create calculator 01:35 Move TUI tabs to the right 02:01 Open calculator in browser 02:22 Design calculator via voice 04:30 Open moon in browser 05:15 Redo Tetris in HTML 05:35 Check calculator 06:04 Moon images 06:36 Light mode (macOS) 07:10 HTML Tetris live 08:21 New agent · light mode 08:49 Calculator effects 10:08 Close tabs 10:24 Credits Why this is different: • Custom TUI host that embeds Grok’s own TUI in a real PTY, not a browser, not a fake terminal. • Multi-tab shell + Grok sessions with one shared control plane. • Two-way Grok Voice to open tabs, delegate work, and iterate live. • CLI on macOS (Linux builds available, not fully tested yet). • Standalone notarized GrokTerm app for macOS. This is a WIP (work in progress) and I expect to add many useful features as I learn how to make and modify TUIs.

Dan

20,206 görüntüleme • 2 ay önce

I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce product page → Nano Banana create 4 images showcasing each angle of the product → Google's Veo 3.1 animates a 360° motion video using the generated nano banana images → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how DTC companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see what a product looks and feels like before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "MOTION" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.

I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce product page → Nano Banana create 4 images showcasing each angle of the product → Google's Veo 3.1 animates a 360° motion video using the generated nano banana images → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how DTC companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see what a product looks and feels like before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "MOTION" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.

David Roberts

170,728 görüntüleme • 9 ay önce

steal my full workflow to create ultra-realistic AI videos with GPT-6 Astra... higgsfield just released their API, so i took it into real conditions i generated a vlog-style video set in Paris... it looks like raw footage a friend shot on a phone here's the workflow, step by step: > step 1: steal the structure, not the pixels i captured 3-5 scenes from a hotels and river views, then pulled character inspiration from pinterest and real vlogs > step 2: analyze the reference with Gemini i sent Gemini everything i'd collected... videos, audio, keyframes and it gave me a shot-by-shot breakdown, i turned that into instructions > step 3: swap the world, keep the bones i changed a lot on the character and the environment until it felt like something of my own, not a copy > step 4: build reference images first, this is where you iterate images are cheap, video is expensive so i built a character sheet, one image per location in the same mood, then the exact start frame the video opens on, all Nano Banana Pro > step 5: one 30-second video run, not ten 3-second clips the full timestamped script goes to Seedance 2.5 through the API as ONE generation start frame as the anchor, one action per beat, camera and audio described concretely, identity locks at the end so her face, outfit and makeup is locked in Seedance handles the cuts internally > step 6: revise like a director, not a gambler the first cut came back good but not right instead of re-rolling the whole 30 seconds i regenerated only the scenes that needed changes as short clips from their own start frames, then cut them into the master with ffmpeg change one variable at a time, never re-roll what already works > step 7: finish like normal footage i assembled the final cut with ffmpeg from the best takes, added ambient music from a free library and done the rules that made it work: - the reference's structure is the asset, prompt archaeology beats prompt writing - iterate on images, commit on video, the start frame decides 80% of the shot - one action per timestamped beat, crowded beats get skipped or invented - lock identity explicitly or it drifts between cuts - fix failed shots by changing one variable, redo scenes, never the whole video - the last 10% is boring editing: trim, splice, music, encode (save this workflow)

steal my full workflow to create ultra-realistic AI videos with GPT-6 Astra... higgsfield just released their API, so i took it into real conditions i generated a vlog-style video set in Paris... it looks like raw footage a friend shot on a phone here's the workflow, step by step: > step 1: steal the structure, not the pixels i captured 3-5 scenes from a hotels and river views, then pulled character inspiration from pinterest and real vlogs > step 2: analyze the reference with Gemini i sent Gemini everything i'd collected... videos, audio, keyframes and it gave me a shot-by-shot breakdown, i turned that into instructions > step 3: swap the world, keep the bones i changed a lot on the character and the environment until it felt like something of my own, not a copy > step 4: build reference images first, this is where you iterate images are cheap, video is expensive so i built a character sheet, one image per location in the same mood, then the exact start frame the video opens on, all Nano Banana Pro > step 5: one 30-second video run, not ten 3-second clips the full timestamped script goes to Seedance 2.5 through the API as ONE generation start frame as the anchor, one action per beat, camera and audio described concretely, identity locks at the end so her face, outfit and makeup is locked in Seedance handles the cuts internally > step 6: revise like a director, not a gambler the first cut came back good but not right instead of re-rolling the whole 30 seconds i regenerated only the scenes that needed changes as short clips from their own start frames, then cut them into the master with ffmpeg change one variable at a time, never re-roll what already works > step 7: finish like normal footage i assembled the final cut with ffmpeg from the best takes, added ambient music from a free library and done the rules that made it work: - the reference's structure is the asset, prompt archaeology beats prompt writing - iterate on images, commit on video, the start frame decides 80% of the shot - one action per timestamped beat, crowded beats get skipped or invented - lock identity explicitly or it drifts between cuts - fix failed shots by changing one variable, redo scenes, never the whole video - the last 10% is boring editing: trim, splice, music, encode (save this workflow)

Machina

24,863 görüntüleme • 11 gün önce