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GPT2 + Seedance 2.0 → Yoga Flow. Controlling pose transition. (Prompt + process in thread) PROCESS: 01. GPT2 Img: Create pose sequence in 02. GPT2 Img: Create base character 03. SD2 Omni-Ref: Animating scene 04. Codex for stitching + frame interpolation While not perfect step-to-step... Still impressive.

Rory Flynn

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48,817 просмотров • 4 месяцев назад •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

199,021 просмотров • 1 год назад

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 просмотров • 4 месяцев назад

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

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

42,287 просмотров • 7 месяцев назад

Prefer a video vs reading an article? Here's my full step-by-step tutorial for generating game character sprites using AI! > Codex > GPT 5.5 > Images 2.0 > Seedance 2.0 > Phaser 4 Includes solving walk cycles + transparency + consistency + others Prompts + more in reply 👇 00:00 Intro 01:08 Overview 01:33 Choosing your AI tool 02:11 Step 1: Box Art 02:51 Step 2: South-Facing Anchor 05:02 "Real Pixels" 07:00 Step 3: Keep Anchors Neutral 08:01 Step 4: NEWS Directions 09:52 Step 5: Animating with GPT Images 2.0 14:38 Step 6: Image to Video for Walkcycles 19:08 Step 7: Normalisation 20:54 Skill 1: animated-spritesheets skill 21:40 Skill 2: gamedev-assets skill 21:58 Step 8: Integrating Assets 22:42 Wrap-Up

Prefer a video vs reading an article? Here's my full step-by-step tutorial for generating game character sprites using AI! > Codex > GPT 5.5 > Images 2.0 > Seedance 2.0 > Phaser 4 Includes solving walk cycles + transparency + consistency + others Prompts + more in reply 👇 00:00 Intro 01:08 Overview 01:33 Choosing your AI tool 02:11 Step 1: Box Art 02:51 Step 2: South-Facing Anchor 05:02 "Real Pixels" 07:00 Step 3: Keep Anchors Neutral 08:01 Step 4: NEWS Directions 09:52 Step 5: Animating with GPT Images 2.0 14:38 Step 6: Image to Video for Walkcycles 19:08 Step 7: Normalisation 20:54 Skill 1: animated-spritesheets skill 21:40 Skill 2: gamedev-assets skill 21:58 Step 8: Integrating Assets 22:42 Wrap-Up

Chong-U

178,933 просмотров • 3 месяцев назад

🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you *direct* the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.

🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you direct the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.

Kuria | AI

43,685 просмотров • 4 месяцев назад

Laptop closed. Agent still working. 103 legal contracts reviewed in 40 minutes. Most AI agents stop the moment you close your laptop. This one does not. See how DigitalOcean, @chatgptapp Codex, and Box work together to autonomously process a stack of contracts while you step away. The new DigitalOcean Codex plugin makes droplet provisioning a one-click affair. - DigitalOcean: always-on compute for long-running agents - Codex: the harness driving the workflow - Box: the governed content layer (contracts in, review packets out) Timestamps: 00:09 – Workflow setup 01:23 – Provision DigitalOcean droplet for long-running tasks 02:45 – Connect Codex to Box with Box MCP 03:01 – Start a remote session on Codex 03:26 – Implement the legal workflow 05:00 – Review the work 06:05 – Conclusion

Laptop closed. Agent still working. 103 legal contracts reviewed in 40 minutes. Most AI agents stop the moment you close your laptop. This one does not. See how DigitalOcean, @chatgptapp Codex, and Box work together to autonomously process a stack of contracts while you step away. The new DigitalOcean Codex plugin makes droplet provisioning a one-click affair. - DigitalOcean: always-on compute for long-running agents - Codex: the harness driving the workflow - Box: the governed content layer (contracts in, review packets out) Timestamps: 00:09 – Workflow setup 01:23 – Provision DigitalOcean droplet for long-running tasks 02:45 – Connect Codex to Box with Box MCP 03:01 – Start a remote session on Codex 03:26 – Implement the legal workflow 05:00 – Review the work 06:05 – Conclusion

Box

321,533 просмотров • 1 месяц назад

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up

Chong-U

14,297 просмотров • 3 месяцев назад

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 просмотров • 1 месяц назад

Tamanna Bhatia 🩷 Created this by using a movement sheet as a reference image to animate the dance using Seedance 2.0 + ChatGPT image 2.0 GPT Image 2.0 Prompt: Dance Sequence Instruction Sheet [VISUAL STYLE] A composition featuring a highly detailed 3D-rendered female dancer. Designed like a professional choreography guide with a technical, diagram-inspired layout. Clean white background, soft studio lighting, and strong contrast to highlight body movement and posture. [GRID LAYOUT] Structured 4×4 panel grid (16 frames total), evenly spaced with thin black divider lines. Each panel is identical in size and clearly numbered from 1 to 16 to show a continuous dance progression. [CHARACTER] Use image1 as the base character. The same female dancer appears consistently across all panels with accurate likeness and proportions. [WARDROBE] The dancer wears a stylish, performance-ready outfit: a well-fitted top paired with a short, flowy skirt. The look should feel modern and visually appealing while still practical for dance movement. Fabric should subtly respond to motion (slight flow and folds), even in grayscale. [PANEL STRUCTURE – EACH FRAME] Top-left: Step number + short dance move title (e.g., “Step 5 – Spin Transition”) Center: Full-body pose capturing a precise moment in the choreography Bottom-left: 3–4 lines of concise instruction describing the move Overlay: Motion arrows and directional guides illustrating how the dancer transitions [MOTION INDICATORS] Incorporate curved arrows for fluid motion, straight arrows for directional steps, and circular indicators for spins or turns. Emphasize rhythm, weight shifts, and body isolation. [RENDER QUALITY] High-detail sculpted 3D style with smooth grayscale shading, subtle shadows, and clean linework. Maintain a polished, concept-art level finish with clarity in every pose. [RESTRICTIONS] No color, no background scenery, no extra characters, no visual clutter, only the dancer and instructional elements..

Tamanna Bhatia 🩷 Created this by using a movement sheet as a reference image to animate the dance using Seedance 2.0 + ChatGPT image 2.0 GPT Image 2.0 Prompt: Dance Sequence Instruction Sheet [VISUAL STYLE] A composition featuring a highly detailed 3D-rendered female dancer. Designed like a professional choreography guide with a technical, diagram-inspired layout. Clean white background, soft studio lighting, and strong contrast to highlight body movement and posture. [GRID LAYOUT] Structured 4×4 panel grid (16 frames total), evenly spaced with thin black divider lines. Each panel is identical in size and clearly numbered from 1 to 16 to show a continuous dance progression. [CHARACTER] Use image1 as the base character. The same female dancer appears consistently across all panels with accurate likeness and proportions. [WARDROBE] The dancer wears a stylish, performance-ready outfit: a well-fitted top paired with a short, flowy skirt. The look should feel modern and visually appealing while still practical for dance movement. Fabric should subtly respond to motion (slight flow and folds), even in grayscale. [PANEL STRUCTURE – EACH FRAME] Top-left: Step number + short dance move title (e.g., “Step 5 – Spin Transition”) Center: Full-body pose capturing a precise moment in the choreography Bottom-left: 3–4 lines of concise instruction describing the move Overlay: Motion arrows and directional guides illustrating how the dancer transitions [MOTION INDICATORS] Incorporate curved arrows for fluid motion, straight arrows for directional steps, and circular indicators for spins or turns. Emphasize rhythm, weight shifts, and body isolation. [RENDER QUALITY] High-detail sculpted 3D style with smooth grayscale shading, subtle shadows, and clean linework. Maintain a polished, concept-art level finish with clarity in every pose. [RESTRICTIONS] No color, no background scenery, no extra characters, no visual clutter, only the dancer and instructional elements..

Sydney

11,457 просмотров • 4 месяцев назад

DŌKYŌ: A Three-Minute-Long Single-Take Short Film Made with AI We can agree that Bytedance Seedance 2.0 totally changed how people create videos. Omni mode enabled faster creation of short films, solo creators making feature-length films, and you can create a 15-second commercial in one shot with a single prompt. But it also opened the door to long, continuous takes, which were not possible. Usually the length of a generated clip is limited to 8–15 seconds. Of course some people tried to cheat around this limitation by doing last frame first frame generation and stitching, but it breaks the camera movement and the pace of the actions. With Seedance, it was very different: instead of fighting the engine I was able to think about what I would like to see, instead of what are the limitations. I planned the framing, the camera movement, the action, and built the three-minute sequence step by step. Of course, this means if you later realize that something is wrong three or four sections earlier, you have to redo everything that follows. Visually, I wanted to maintain a very cinematic, low contrast, grainy, soft look, siilar to an expired 8mm or 16mm film, so there was no upscaling, rather the opposite: softening the image in every possible way. #DreaminaCPP Dreamina AI

DŌKYŌ: A Three-Minute-Long Single-Take Short Film Made with AI We can agree that Bytedance Seedance 2.0 totally changed how people create videos. Omni mode enabled faster creation of short films, solo creators making feature-length films, and you can create a 15-second commercial in one shot with a single prompt. But it also opened the door to long, continuous takes, which were not possible. Usually the length of a generated clip is limited to 8–15 seconds. Of course some people tried to cheat around this limitation by doing last frame first frame generation and stitching, but it breaks the camera movement and the pace of the actions. With Seedance, it was very different: instead of fighting the engine I was able to think about what I would like to see, instead of what are the limitations. I planned the framing, the camera movement, the action, and built the three-minute sequence step by step. Of course, this means if you later realize that something is wrong three or four sections earlier, you have to redo everything that follows. Visually, I wanted to maintain a very cinematic, low contrast, grainy, soft look, siilar to an expired 8mm or 16mm film, so there was no upscaling, rather the opposite: softening the image in every possible way. #DreaminaCPP Dreamina AI

László Gaál

20,528 просмотров • 2 месяцев назад

Zero VFX experience. Just Claude, Seedance 2.0, and a phone clip. The result looks like a $10M scene In this tutorial you'll learn how to create cinematic AI VFX from your own real footage — no green screen, no masking, no compositing, no render times. Claude doesn't touch the video — it reads your clip frame by frame and writes the prompt, locking your face, camera move, light, and gestures, then naming the one thing to change and when. That prompt goes into Seedance 2.0, which only touches what was named. That's the trick. You're not describing an effect and hoping the AI gets it. Claude studies the footage first and hands Seedance a locked, precise instruction — which is why a hand can morph mid-sentence with zero visible cut, or neon reflections land on the dashboard automatically, with nothing graded by hand. One clip in, one sentence to Claude, one prompt into Seedance 2.0 — and out comes a shot that would normally cost a studio a month. ▪ 00:00 Intro ▪ 01:28 The 3 levels of AI VFX ▪ 01:59 Level 1 — Swapping the world (walking) ▪ 04:32 Level 2 — Changing an element ▪ 07:26 Level 3 — The handheld showcase ▪ 10:15 Outro YouTube: "Higgsfield AI - I Added Insane AI VFX to Real Footage in 4K(Seedance 2.0)" Thank you for sharing this free tutorial with us. It is invaluable information.

Zero VFX experience. Just Claude, Seedance 2.0, and a phone clip. The result looks like a $10M scene In this tutorial you'll learn how to create cinematic AI VFX from your own real footage — no green screen, no masking, no compositing, no render times. Claude doesn't touch the video — it reads your clip frame by frame and writes the prompt, locking your face, camera move, light, and gestures, then naming the one thing to change and when. That prompt goes into Seedance 2.0, which only touches what was named. That's the trick. You're not describing an effect and hoping the AI gets it. Claude studies the footage first and hands Seedance a locked, precise instruction — which is why a hand can morph mid-sentence with zero visible cut, or neon reflections land on the dashboard automatically, with nothing graded by hand. One clip in, one sentence to Claude, one prompt into Seedance 2.0 — and out comes a shot that would normally cost a studio a month. ▪ 00:00 Intro ▪ 01:28 The 3 levels of AI VFX ▪ 01:59 Level 1 — Swapping the world (walking) ▪ 04:32 Level 2 — Changing an element ▪ 07:26 Level 3 — The handheld showcase ▪ 10:15 Outro YouTube: "Higgsfield AI - I Added Insane AI VFX to Real Footage in 4K(Seedance 2.0)" Thank you for sharing this free tutorial with us. It is invaluable information.

Zentrix⌚️

28,606 просмотров • 1 месяц назад

Been hearing about this for a while, finally got to try it. Dreamina Seedance 2.0 is live now on Dreamina. (Also, looks like that’s the official final name.) After playing with it a bit, it does feel like a real step up from the previous version. It even ranked 1 on Artificial Analysis (both T2V and I2V), which honestly makes sense after trying it. If you’re curious, here’s how I got started Early access is open right now- no waiting, no queue. And there’s a free trial for 2.0 Fast, which makes it easy to test. - Google "Dreamina" or directly visit their official website link → - Click "Create now" in the top right corner to enter the operation panel of Dreamina. If you directly access it from the link in the first item, it will take you directly to the main page. - Log in with your preferred method. - Select "AI Video - Dreamina Seedance 2.0 - Omni Reference" to start. I just tested a single prompt and it already gave me a pretty usable video sequence.

Been hearing about this for a while, finally got to try it. Dreamina Seedance 2.0 is live now on Dreamina. (Also, looks like that’s the official final name.) After playing with it a bit, it does feel like a real step up from the previous version. It even ranked 1 on Artificial Analysis (both T2V and I2V), which honestly makes sense after trying it. If you’re curious, here’s how I got started Early access is open right now- no waiting, no queue. And there’s a free trial for 2.0 Fast, which makes it easy to test. - Google "Dreamina" or directly visit their official website link → - Click "Create now" in the top right corner to enter the operation panel of Dreamina. If you directly access it from the link in the first item, it will take you directly to the main page. - Log in with your preferred method. - Select "AI Video - Dreamina Seedance 2.0 - Omni Reference" to start. I just tested a single prompt and it already gave me a pretty usable video sequence.

Swastika Yadav

32,522 просмотров • 5 месяцев назад

ChatGPT Images 2.0 + Seedance 2.0 is f*cking wild 🤯 I generated this 25-second UGC ad for Barebells in under 20 minutes: creator, script, scenes, finished cut. ChatGPT Images 2.0 generates the creator. Seedance 2.0 turns it into video. Perfect for DTC brands and agencies who want to test 20 UGC angles before paying $2K per creator video. If you're briefing creator agencies every week, waiting 7-10 days for one take of one variation, and paying $150–$300+ per UGC video that still misses the brand vibe... This workflow eliminates the entire loop: → Generate your creator in ChatGPT Images 2.0 → Save her as a Character Element in Seedance so her face stays locked across every scene → Save your product as a Prop Element with brand-accurate wrapper details → Write a 3-scene script in real UGC dialogue cadence → Fire each scene to Seedance 2.0 with both elements selected → Stitch in CapCut with auto-captions, no music, hard cuts only No creator briefs. No 7-day turnarounds. No $200/video platform fees. What you get: → A finished UGC ad in your brand's voice → Infinite variations of the same concept (test 10 hooks against one product in an afternoon) → A reusable creator and product Element library that scales across every ad → A repeatable workflow your team can run in 15-30 minutes I put together a full playbook with the 5-step system, every prompt template, the Seedance scene structure, and every common failure mode and how to fix it. Want it for free? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)

Mike Futia

40,432 просмотров • 4 месяцев назад

Finally got our hands on Seedance 2.0 (through YouArt) and ran it head-to-head with Kling AI 3.0. Here’s what stood out: Seedance 2.0’s physics feel stronger right away. The movement just looks more natural and realistic, especially in bigger physical actions. It also handles continuity across multiple shots from a single prompt better than I expected, which makes scene building a lot easier. And on the audio side, the lip sync generally holds up better than Kling. But here’s the tradeoff: Both models struggle with fine details. Background faces and smaller elements still get a bit messy. Seedance currently outputs at 720p, while Kling 3.0 supports 1080p, so Kling has the edge in overall sharpness. Even with upscaling, Seedance doesn’t fully recover those tiny details. Verdict🏆: Seedance 2.0 is a real step forward, especially for motion realism, but it’s definitely not the “end of Hollywood.” Check out our latest tutorial where we show you how to get access to this new model and take a deep look at the quality of this new AI Video Generator:

Finally got our hands on Seedance 2.0 (through YouArt) and ran it head-to-head with Kling AI 3.0. Here’s what stood out: Seedance 2.0’s physics feel stronger right away. The movement just looks more natural and realistic, especially in bigger physical actions. It also handles continuity across multiple shots from a single prompt better than I expected, which makes scene building a lot easier. And on the audio side, the lip sync generally holds up better than Kling. But here’s the tradeoff: Both models struggle with fine details. Background faces and smaller elements still get a bit messy. Seedance currently outputs at 720p, while Kling 3.0 supports 1080p, so Kling has the edge in overall sharpness. Even with upscaling, Seedance doesn’t fully recover those tiny details. Verdict🏆: Seedance 2.0 is a real step forward, especially for motion realism, but it’s definitely not the “end of Hollywood.” Check out our latest tutorial where we show you how to get access to this new model and take a deep look at the quality of this new AI Video Generator:

Curious Refuge

58,989 просмотров • 6 месяцев назад

😱 How to Build & Launch Your Base Mini App in 10Mins. ■ Investment: 0$ ( Free of Cost ) ■ Potential: $BASE ■ Exprience: No coding experience needed ( anyone can build ) 👀 Just watch full video & follow my simple 9 steps & Boom : Tools : 1.) Create V0 account :- 2.) Create Farcaster Account :- 3.) Create Baseapp Account :- •• Must link your farcaster account in base app Step 1 : Create the Calculator Application - Built a functional calculator with add, subtract, multiply, and divide operations - - Creat `/components/calculator.tsx` with full calculator logic and UI - - Creat `/app/page.tsx` as the main entry point - - Use React hooks (useState) for state management - - Designe with a modern dark theme using Tailwind CSS - Step 2 : Deploy the project & copy the url & save it . Step 3 : Create the Farcaster Manifest File - Created `/public/.well-known/farcaster.json` - This file tells Base about our app - Configured app metadata: My project name : My url link : { "accountAssociation": { "header": "", "payload": "", "signature": "" }, "miniapp": { "version": "1", "name": "My project name", "subtitle": "Fast & Easy Math", "description": "A simple calculator for basic arithmetic operations", "homeUrl": " "iconUrl": " "splashImageUrl": " "splashBackgroundColor": "#1a1a1a", "screenshotUrls": [ " " ], "primaryCategory": "utility", "tags": ["calculator", "math", "utility"], "tagline": "Calculate Instantly", "heroImageUrl": " "ogTitle": "Calculator", "ogDescription": "A simple calculator for basic math", "ogImageUrl": " "noindex": false } } Step 4 : Added Required Images - i attach a image , so convert that image as required ratio and attach the same image in our mini app for all 3 forms . `● icon.png` (300×300px) - A small icon of your app ● splash.png (200×200px) - A splash screen image ● screenshot.png (1284×2778px) - A screenshot showing how the app looks Step 5 Added Embed Metadata - Add `fc:miniapp` meta tag to layout.tsx metadata - Configure embed preview with: - Image URL for the 3:2 aspect ratio preview - Button configuration ("Open Calculator") - Launch frame settings - Splash image and background color Step 6: Added Farcaster Miniapp SDK Integration - Install `@farcaster/miniapp-sdk` package (automatically included) - Update `/app/page.tsx` to import and use the SDK - Call `sdk.actions.ready()` when the app loads - This is the **critical step** that tells Base to hide the splash screen and display your calculator Step 7: Update Next.js Configuration - Update `/next.config.mjs` to work with Next.js 16's Turbopack - Add `turbopack: {}` config to ensure clean builds - Remove webpack-specific configurations Step8 : •• Now for one time , click on deploy & deploy again •• Then Open Farcaster in Pc/Laptop •• Enable Developer Mode •• go to Developer section then & click on Mini app manifest tools •• then paste url ( check vidoe ) •• then click on fetch & then click on Genrate account association •• scan qr code and verify your farcaster account •• Now copy everything and paste in V0 ( add prompt ) Add this as account association •• then Reverify and Submit . Step9 : ● Download Base App : •• Create Account with email •• then connect same farcaster account ● Then Visit : •• signin with same base app email . •• and follow video process 📌📌 Join Our TG for More Alpha:-

😱 How to Build & Launch Your Base Mini App in 10Mins. ■ Investment: 0$ ( Free of Cost ) ■ Potential: $BASE ■ Exprience: No coding experience needed ( anyone can build ) 👀 Just watch full video & follow my simple 9 steps & Boom : Tools : 1.) Create V0 account :- 2.) Create Farcaster Account :- 3.) Create Baseapp Account :- •• Must link your farcaster account in base app Step 1 : Create the Calculator Application - Built a functional calculator with add, subtract, multiply, and divide operations - - Creat `/components/calculator.tsx` with full calculator logic and UI - - Creat `/app/page.tsx` as the main entry point - - Use React hooks (useState) for state management - - Designe with a modern dark theme using Tailwind CSS - Step 2 : Deploy the project & copy the url & save it . Step 3 : Create the Farcaster Manifest File - Created `/public/.well-known/farcaster.json` - This file tells Base about our app - Configured app metadata: My project name : My url link : { "accountAssociation": { "header": "", "payload": "", "signature": "" }, "miniapp": { "version": "1", "name": "My project name", "subtitle": "Fast & Easy Math", "description": "A simple calculator for basic arithmetic operations", "homeUrl": " "iconUrl": " "splashImageUrl": " "splashBackgroundColor": "#1a1a1a", "screenshotUrls": [ " " ], "primaryCategory": "utility", "tags": ["calculator", "math", "utility"], "tagline": "Calculate Instantly", "heroImageUrl": " "ogTitle": "Calculator", "ogDescription": "A simple calculator for basic math", "ogImageUrl": " "noindex": false } } Step 4 : Added Required Images - i attach a image , so convert that image as required ratio and attach the same image in our mini app for all 3 forms . `● icon.png` (300×300px) - A small icon of your app ● splash.png (200×200px) - A splash screen image ● screenshot.png (1284×2778px) - A screenshot showing how the app looks Step 5 Added Embed Metadata - Add `fc:miniapp` meta tag to layout.tsx metadata - Configure embed preview with: - Image URL for the 3:2 aspect ratio preview - Button configuration ("Open Calculator") - Launch frame settings - Splash image and background color Step 6: Added Farcaster Miniapp SDK Integration - Install `@farcaster/miniapp-sdk` package (automatically included) - Update `/app/page.tsx` to import and use the SDK - Call `sdk.actions.ready()` when the app loads - This is the critical step that tells Base to hide the splash screen and display your calculator Step 7: Update Next.js Configuration - Update `/next.config.mjs` to work with Next.js 16's Turbopack - Add `turbopack: {}` config to ensure clean builds - Remove webpack-specific configurations Step8 : •• Now for one time , click on deploy & deploy again •• Then Open Farcaster in Pc/Laptop •• Enable Developer Mode •• go to Developer section then & click on Mini app manifest tools •• then paste url ( check vidoe ) •• then click on fetch & then click on Genrate account association •• scan qr code and verify your farcaster account •• Now copy everything and paste in V0 ( add prompt ) Add this as account association •• then Reverify and Submit . Step9 : ● Download Base App : •• Create Account with email •• then connect same farcaster account ● Then Visit : •• signin with same base app email . •• and follow video process 📌📌 Join Our TG for More Alpha:-

Sanu Gupta

40,571 просмотров • 7 месяцев назад

I've been experimenting with Seedance 2.0 to create seamless extensions. I created this sequence called UBUMBE FOREST. Seamless extensions can actually be quite tricky to do and requires some precise magic with editing to connect them. There is no shortcut here, you must experiment until you find the sweet spot to make the transition seamless. Ubumbe Forest - During a routine foraging trip deep in the Ubumbe forest in Tanzania, a father guides his daughter off the beaten path. Here, hidden from the rest of their tribe, she steps into a breathtaking new world and comes face-to-face with insects and creatures she has never seen before, even encountering a rare Peafox. 🟢Extending a scene however is fairly simple: - Generate your first sequence. - Upload that video as an Omni reference. - Type this at the start of the prompt "Naturally continue the movement and momentum from the previous clip. Keep the exact same art style, lighting, character appearance, and physics." and then explain what happens next in this sequence. - Congrats, you now have a scene extension that naturally flows from where the last video ended. However this is only the start of the puzzle, you need to join these clips so they're seamless. Seedance 2.0 is able to match the pacing, remember the characters and even their voices using this technique. The hard part is the extension but check my second post to see how I'm doing it in Capcut.

I've been experimenting with Seedance 2.0 to create seamless extensions. I created this sequence called UBUMBE FOREST. Seamless extensions can actually be quite tricky to do and requires some precise magic with editing to connect them. There is no shortcut here, you must experiment until you find the sweet spot to make the transition seamless. Ubumbe Forest - During a routine foraging trip deep in the Ubumbe forest in Tanzania, a father guides his daughter off the beaten path. Here, hidden from the rest of their tribe, she steps into a breathtaking new world and comes face-to-face with insects and creatures she has never seen before, even encountering a rare Peafox. 🟢Extending a scene however is fairly simple: - Generate your first sequence. - Upload that video as an Omni reference. - Type this at the start of the prompt "Naturally continue the movement and momentum from the previous clip. Keep the exact same art style, lighting, character appearance, and physics." and then explain what happens next in this sequence. - Congrats, you now have a scene extension that naturally flows from where the last video ended. However this is only the start of the puzzle, you need to join these clips so they're seamless. Seedance 2.0 is able to match the pacing, remember the characters and even their voices using this technique. The hard part is the extension but check my second post to see how I'm doing it in Capcut.

Travis Davids

14,149 просмотров • 2 месяцев назад

The wait is finally over! A lot of you have been asking what platform I’ve been using to create those amazing Seedance 2.0 videos I’ve been sharing lately. Here’s the answer: TopviewAI And it’s not just about getting access to the best AI video model out there. Seedance 2.0 is now live on Topview... with 365 days of unlimited use. That alone is a big shift. Because while most AI video tools still keep you stuck in 5–15s clips and fragmented workflows… This is built for actual filmmaking. With Topview Agent V2 you can: – Create long-form video with no duration limits – Generate multi-scene sequences in a single workflow – Edit everything on a unified timeline – Go from idea➡️storyboard➡️final video – Generate videos fast (really fast) – Use Image to Video, Text to Video, and Omnireference No patchwork. No jumping between tools. This is what happens when AI video stops being a toy. Smart automation + pinpoint control. In the next post of the thread, I’ll give you more information 👇

The wait is finally over! A lot of you have been asking what platform I’ve been using to create those amazing Seedance 2.0 videos I’ve been sharing lately. Here’s the answer: TopviewAI And it’s not just about getting access to the best AI video model out there. Seedance 2.0 is now live on Topview... with 365 days of unlimited use. That alone is a big shift. Because while most AI video tools still keep you stuck in 5–15s clips and fragmented workflows… This is built for actual filmmaking. With Topview Agent V2 you can: – Create long-form video with no duration limits – Generate multi-scene sequences in a single workflow – Edit everything on a unified timeline – Go from idea➡️storyboard➡️final video – Generate videos fast (really fast) – Use Image to Video, Text to Video, and Omnireference No patchwork. No jumping between tools. This is what happens when AI video stops being a toy. Smart automation + pinpoint control. In the next post of the thread, I’ll give you more information 👇

OscarAI

22,819 просмотров • 5 месяцев назад

I just built an open NotebookLM clone! Here's what it can do for you: - Process multi-modal data - Scrape websites and YouTube videos - Create a unified knowledge base - Lets you do RAG over it - Remember every conversation - Generate a podcast 🎙️ The idea here is not to reinvent the wheel but to understand how one of the most powerful tools for learning and research actually works, by building it step-by-step! So by the end of this video, you'll learn how to: ↳ Process multimodal data (text, audio, video, URLs, and YouTube videos) into a format ready for LLMs ↳ Store everything in a vector database for fast retrieval ↳ Add a memory layer that remembers conversations and preferences for a personalized experience ↳ Chat with your knowledge base or generate podcasts using a fully open-source, locally running text-to-speech model The podcast generation feature is my favorite part! There's something powerful about turning written content into conversational audio that you can listen to while doing something else. The entire code is 100% open-source. I've shared a link in the replies! ____ Don't forget to drop a like if you enjoy my videos. It shows me I should be making more content like this. Cheers! :)

I just built an open NotebookLM clone! Here's what it can do for you: - Process multi-modal data - Scrape websites and YouTube videos - Create a unified knowledge base - Lets you do RAG over it - Remember every conversation - Generate a podcast 🎙️ The idea here is not to reinvent the wheel but to understand how one of the most powerful tools for learning and research actually works, by building it step-by-step! So by the end of this video, you'll learn how to: ↳ Process multimodal data (text, audio, video, URLs, and YouTube videos) into a format ready for LLMs ↳ Store everything in a vector database for fast retrieval ↳ Add a memory layer that remembers conversations and preferences for a personalized experience ↳ Chat with your knowledge base or generate podcasts using a fully open-source, locally running text-to-speech model The podcast generation feature is my favorite part! There's something powerful about turning written content into conversational audio that you can listen to while doing something else. The entire code is 100% open-source. I've shared a link in the replies! ____ Don't forget to drop a like if you enjoy my videos. It shows me I should be making more content like this. Cheers! :)

Akshay 🚀

83,187 просмотров • 10 месяцев назад

How to build long-horizon AI agents: behavior specs, ontologies, process supervision - my conversation with Mitchell Troyanovsky, co-founder of Basis 01:09 Why Everyone at Basis Was Whispering to AI when Stephanie Palazzolo walked in 04:12 Accounting as "an Intelligence Over the Economy" 06:11 What Makes an Agent Truly Long-Horizon 08:24 Inside an Autonomous, Multi-Day Tax Return 10:19 Agents That Hand Off Like Senior Engineers 11:17 A Brief History of Agents: From ReAct to Today 12:33 Why LLMs Have No Long-Term Memory 14:13 Why AutoGPT Didn't Live Up to Its Promise 15:51 The Three Breakthroughs: Opus 3, o1, o3 17:07 Why Reasoning Models Unlocked Agents 18:23 "Let's Verify Step by Step": The Road Not Taken 20:32 Pushing Back on the METR Chart 22:09 Why Coding Agents Won First 25:14 Why Real-World Agents Are Harder 26:55 How Accountants Verify Non-Deterministic Work 29:18 You Can't Scale Tax Returns Like Math 33:16 100 Evals Pass - So What? 35:53 Right Answer, Wrong Process 36:37 Behavior Specs, Explained 39:58 How Specific Should Behaviors Be? 42:18 Context Is Runtime Training Data 44:21 Who Judges the Judge? 46:45 The Move 37 Objection 50:02 The Magic Box Mental Model 52:41 "Nothing Has Changed Since o3" 54:56 Open-Sourcing Behavior Specs with Ankur Goyal Braintrust 59:45 Ontologies: A World for Agents to Live In 01:04:20 Documentation as Codebase 01:06:33 Why the Founding Fathers Were Context Engineers 01:09:05 Onboarding 300 Brilliant Alien Employees 01:11:10 Self-Improving Agent Systems 01:12:50 The Context Mistake Agent Builders Make 01:14:29 RL on Behavior Adherence 01:17:01 Will the Bitter Lesson Swallow the Harness 01:18:46 "Technical Moats Are Not Real Moats" 01:21:03 Advice for AI Builders

How to build long-horizon AI agents: behavior specs, ontologies, process supervision - my conversation with Mitchell Troyanovsky, co-founder of Basis 01:09 Why Everyone at Basis Was Whispering to AI when Stephanie Palazzolo walked in 04:12 Accounting as "an Intelligence Over the Economy" 06:11 What Makes an Agent Truly Long-Horizon 08:24 Inside an Autonomous, Multi-Day Tax Return 10:19 Agents That Hand Off Like Senior Engineers 11:17 A Brief History of Agents: From ReAct to Today 12:33 Why LLMs Have No Long-Term Memory 14:13 Why AutoGPT Didn't Live Up to Its Promise 15:51 The Three Breakthroughs: Opus 3, o1, o3 17:07 Why Reasoning Models Unlocked Agents 18:23 "Let's Verify Step by Step": The Road Not Taken 20:32 Pushing Back on the METR Chart 22:09 Why Coding Agents Won First 25:14 Why Real-World Agents Are Harder 26:55 How Accountants Verify Non-Deterministic Work 29:18 You Can't Scale Tax Returns Like Math 33:16 100 Evals Pass - So What? 35:53 Right Answer, Wrong Process 36:37 Behavior Specs, Explained 39:58 How Specific Should Behaviors Be? 42:18 Context Is Runtime Training Data 44:21 Who Judges the Judge? 46:45 The Move 37 Objection 50:02 The Magic Box Mental Model 52:41 "Nothing Has Changed Since o3" 54:56 Open-Sourcing Behavior Specs with Ankur Goyal Braintrust 59:45 Ontologies: A World for Agents to Live In 01:04:20 Documentation as Codebase 01:06:33 Why the Founding Fathers Were Context Engineers 01:09:05 Onboarding 300 Brilliant Alien Employees 01:11:10 Self-Improving Agent Systems 01:12:50 The Context Mistake Agent Builders Make 01:14:29 RL on Behavior Adherence 01:17:01 Will the Bitter Lesson Swallow the Harness 01:18:46 "Technical Moats Are Not Real Moats" 01:21:03 Advice for AI Builders

Matt Turck

20,898 просмотров • 21 дней назад