Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

Introducing Radiant: 80+ production-ready shaders and visual effects for the web. 0 dependencies, MIT license. - multiple color themes - ultra-realistic simulations - webgl and 2d canvas Pick one, copy source, integrate, ship.

Paul Bakaus

20,431 subscribers

143,927 görüntüleme • 5 ay önce •via X (Twitter)

Sanat Bilim & Teknoloji

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Introducing CursorBuddy -- inspired by clicky by Farza 🇵🇰🇺🇸 (thank you sir) and written from the ground up to be multi-platform ready, it provides a complete cursor agent that knows what you're doing, and comes as: Feature list now and soon - desktop - cli - web injection script (script include) - MCP - full voice - computer use - proper tooling - plugins and custom extensions and tools - themes - a playground - local options - detects screenshots - *walks you through learning - *time coded voice to text to get natural streaming - *multiple "canvas" views for interacting - *image support - *draws and annotates your screen - *interacts / available with agents to help out - *multiple "buddies" with characterisations and skills - *multi-player with other remote buddies* *roadmap will post the repo in this thread shortly, all free, all MIT license.

Introducing CursorBuddy -- inspired by clicky by Farza 🇵🇰🇺🇸 (thank you sir) and written from the ground up to be multi-platform ready, it provides a complete cursor agent that knows what you're doing, and comes as: Feature list now and soon - desktop - cli - web injection script (script include) - MCP - full voice - computer use - proper tooling - plugins and custom extensions and tools - themes - a playground - local options - detects screenshots - walks you through learning - time coded voice to text to get natural streaming - multiple "canvas" views for interacting - image support - draws and annotates your screen - interacts / available with agents to help out - multiple "buddies" with characterisations and skills - multi-player with other remote buddies* *roadmap will post the repo in this thread shortly, all free, all MIT license.

Jason Kneen

17,558 görüntüleme • 4 ay önce

Introducing the GEO SEO SuperApp, an open-source desktop app for SEO & GEO agencies. I built it because I was tired of using multiple apps and wanted everything in one place. Pick a recipe, enter the URL and watch it work.👇

Introducing the GEO SEO SuperApp, an open-source desktop app for SEO & GEO agencies. I built it because I was tired of using multiple apps and wanted everything in one place. Pick a recipe, enter the URL and watch it work.👇

Eric Lancheres

22,631 görüntüleme • 1 ay önce

A visual comparison of HTML-in-Canvas vs rasterizing DOM to a canvas texture (side-by-side below, compare average capture times) Existing approaches to pull web content into canvas are slow and lossy: - Animations glitch, or don't play at all - CSS replication is imprecise - Clogs up the main thread, other animations lag HTML-in-Canvas (texElementImage2D) lets the browser's own compositor map CSS layouts, animations, and transitions precisely into canvas/WebGL textures — one native call instead of thousands of JS style reads. It's currently available behind an experimental Chrome flag. Really cool, and I can't wait for it to become mainstream.

A visual comparison of HTML-in-Canvas vs rasterizing DOM to a canvas texture (side-by-side below, compare average capture times) Existing approaches to pull web content into canvas are slow and lossy: - Animations glitch, or don't play at all - CSS replication is imprecise - Clogs up the main thread, other animations lag HTML-in-Canvas (texElementImage2D) lets the browser's own compositor map CSS layouts, animations, and transitions precisely into canvas/WebGL textures — one native call instead of thousands of JS style reads. It's currently available behind an experimental Chrome flag. Really cool, and I can't wait for it to become mainstream.

Robin

46,582 görüntüleme • 4 ay önce

Launching Vibecut A video editor, vibe coded during livestream in 50 hours, ~80 prompts with threejs MIT License, link below Features: - 30 FPS default - Multi Tracks - Drag clips across tracks - Multi media (img, video, audio, text) - Animations (text) - Export and render - Move, Rotate, Scale clips in the canvas - Split, Trim, Duplicate, Delete clips - Filters for images - Aspect Ratio, Resolution and Canvas color presets - Zoom the timeline with pinch gestures - Idk man a ton of other small prompted stuff just check it out

Launching Vibecut A video editor, vibe coded during livestream in 50 hours, ~80 prompts with threejs MIT License, link below Features: - 30 FPS default - Multi Tracks - Drag clips across tracks - Multi media (img, video, audio, text) - Animations (text) - Export and render - Move, Rotate, Scale clips in the canvas - Split, Trim, Duplicate, Delete clips - Filters for images - Aspect Ratio, Resolution and Canvas color presets - Zoom the timeline with pinch gestures - Idk man a ton of other small prompted stuff just check it out

robot

31,798 görüntüleme • 11 ay önce

🚨 The canvas text initiative has a full POC.🚨 justin set out to make the most robust and portable text rendering for web canvas possible and early results are promising. ➡️ Slug, MSDF, bitmap, it supports all of the different technologies with one API. We want to give users the choice for their app requirements. ➡️ Full font shaping support. Icons, CJK, ligatures, line breaks, we got it all. ➡️ Text styles! Stroke, shadow, color and we can do more. Anyone want full CSS support? ➡️ Offline and runtime font baking. ➡️ Realtime paragraph layout. Like pretext… but faster! ➡️ Fully portable. WebGL, WebGPU, native shaders, TSL, React, we made this from the ground up to serve all users.

🚨 The canvas text initiative has a full POC.🚨 justin set out to make the most robust and portable text rendering for web canvas possible and early results are promising. ➡️ Slug, MSDF, bitmap, it supports all of the different technologies with one API. We want to give users the choice for their app requirements. ➡️ Full font shaping support. Icons, CJK, ligatures, line breaks, we got it all. ➡️ Text styles! Stroke, shadow, color and we can do more. Anyone want full CSS support? ➡️ Offline and runtime font baking. ➡️ Realtime paragraph layout. Like pretext… but faster! ➡️ Fully portable. WebGL, WebGPU, native shaders, TSL, React, we made this from the ground up to serve all users.

Poimandres

37,958 görüntüleme • 1 ay önce

A single system glitch turned Midtown into complete chaos. As a rogue construction mech tears through the city, Web Ranger races against time to save civilians, not by overpowering it, but by outthinking it with precision web tactics and an epic FLOVA containment network. Every swing, every web anchor, and every cinematic moment was made with FlovaAI while using Script-Driven Skill. #Flovaai #Flovacpp Prompt: COLLAPSE AT MIDTOWN" (45s) Model: Seedance 2.0 Style: Realistic cinematic superhero action, dynamic camera, no music, sound effects only. Character Lock: Web Ranger remains identical in every shot. He cannot fly—all movement is through visible web swings and anchor points. White webs with glowing teal energy. The Colossus is a 15-foot malfunctioning construction mech. PART 1 (0:00–0:15) — Malfunction & Rescue Cut 1 (0:00–0:05) Wide shot of a Times Square-style construction zone. The Colossus glitches and accidentally knocks scaffolding toward a little girl. Web Ranger catches the falling beam with glowing web strands and appears perched on a traffic light. Cut 2 (0:05–0:10) Web Ranger swings between lamp posts and cranes, redirecting the mech's wild arm away from a crowded bus and into empty scaffolding. He continues dodging debris using rapid web pulls. Cut 3 (0:10–0:15) The mech stumbles toward a subway entrance. Web Ranger yanks a construction barrier into its path, diverting it away from fleeing civilians before landing on a taxi roof, ready for the next move. PART 2 (0:15–0:30) — Containment Cut 4 (0:15–0:20) The Colossus unleashes chaotic swings and heavy steps. Web Ranger evades every near miss, using billboard and crane anchors to swing through collapsing debris. Cut 5 (0:20–0:25) Web Ranger throws web-linked shuriken that ricochet across lamp posts, scaffolding, cranes, and billboards, creating glowing anchor points throughout the intersection. Cut 6 (0:25–0:30) The web network rapidly tightens into a giant FLOVA-shaped structure, stabilizing the malfunctioning mech. As several strands begin to fray, Web Ranger reinforces them from a high billboard anchor. PART 3 (0:30–0:45) — Shutdown Cut 7 (0:30–0:35) Standing atop the FLOVA web structure, Web Ranger sends teal energy through the web network, shutting down the Colossus as its amber lights fade. Cut 8 (0:35–0:40) The rescued girl and civilians emerge safely from cover, watching the stabilized mech with relief while emergency vehicles approach. Cut 9 (0:40–0:45) Epic crane pull-back reveals the entire intersection: the dormant Colossus suspended in the giant FLOVA web formation, Web Ranger perched above in a heroic final pose. Fade out.

A single system glitch turned Midtown into complete chaos. As a rogue construction mech tears through the city, Web Ranger races against time to save civilians, not by overpowering it, but by outthinking it with precision web tactics and an epic FLOVA containment network. Every swing, every web anchor, and every cinematic moment was made with FlovaAI while using Script-Driven Skill. #Flovaai #Flovacpp Prompt: COLLAPSE AT MIDTOWN" (45s) Model: Seedance 2.0 Style: Realistic cinematic superhero action, dynamic camera, no music, sound effects only. Character Lock: Web Ranger remains identical in every shot. He cannot fly—all movement is through visible web swings and anchor points. White webs with glowing teal energy. The Colossus is a 15-foot malfunctioning construction mech. PART 1 (0:00–0:15) — Malfunction & Rescue Cut 1 (0:00–0:05) Wide shot of a Times Square-style construction zone. The Colossus glitches and accidentally knocks scaffolding toward a little girl. Web Ranger catches the falling beam with glowing web strands and appears perched on a traffic light. Cut 2 (0:05–0:10) Web Ranger swings between lamp posts and cranes, redirecting the mech's wild arm away from a crowded bus and into empty scaffolding. He continues dodging debris using rapid web pulls. Cut 3 (0:10–0:15) The mech stumbles toward a subway entrance. Web Ranger yanks a construction barrier into its path, diverting it away from fleeing civilians before landing on a taxi roof, ready for the next move. PART 2 (0:15–0:30) — Containment Cut 4 (0:15–0:20) The Colossus unleashes chaotic swings and heavy steps. Web Ranger evades every near miss, using billboard and crane anchors to swing through collapsing debris. Cut 5 (0:20–0:25) Web Ranger throws web-linked shuriken that ricochet across lamp posts, scaffolding, cranes, and billboards, creating glowing anchor points throughout the intersection. Cut 6 (0:25–0:30) The web network rapidly tightens into a giant FLOVA-shaped structure, stabilizing the malfunctioning mech. As several strands begin to fray, Web Ranger reinforces them from a high billboard anchor. PART 3 (0:30–0:45) — Shutdown Cut 7 (0:30–0:35) Standing atop the FLOVA web structure, Web Ranger sends teal energy through the web network, shutting down the Colossus as its amber lights fade. Cut 8 (0:35–0:40) The rescued girl and civilians emerge safely from cover, watching the stabilized mech with relief while emergency vehicles approach. Cut 9 (0:40–0:45) Epic crane pull-back reveals the entire intersection: the dormant Colossus suspended in the giant FLOVA web formation, Web Ranger perched above in a heroic final pose. Fade out.

Shami

32,826 görüntüleme • 2 ay önce

We learned how to fly a plane to tell SF one thing. Introducing the Vendo (YC S26) Full-Stack Agentic Interface. A production-ready agent for your users with everything they need. It takes real actions for your users. And it can even build whole new features, micro-apps, and automations, right on top of your product. Built-in permissioning, tool guards, user context, and more. Everything you need for a user-facing agent. One command to install. Open source. Vendo (YC S26) Nour Zahzah

We learned how to fly a plane to tell SF one thing. Introducing the Vendo (YC S26) Full-Stack Agentic Interface. A production-ready agent for your users with everything they need. It takes real actions for your users. And it can even build whole new features, micro-apps, and automations, right on top of your product. Built-in permissioning, tool guards, user context, and more. Everything you need for a user-facing agent. One command to install. Open source. Vendo (YC S26) Nour Zahzah

Yousef

33,263 görüntüleme • 21 gün önce

🎨 Introducing Genspark Design The next-gen AI for design and creation, powered by Claude Opus 4.7. From rough idea to professional design, no design background needed. - One tool for everything you design. UI prototypes, videos, HTML animations, posters — all in one place and production-ready. - Stay on-brand with your own design system. Upload your Figma files or save your designs, reuse them across every project, and share them with your team. - Ship it, don't just mock it. Turn any app or website design into working code with one click, built on Genspark Code. Start building at our launch price 👉

Genspark

179,614 görüntüleme • 2 ay önce

Create AI ads that look like they were shot by a full production team in minutes. Try it here → Creatify turns any product page or link into a high-performing video ad. No scripts, no editing, no camera, just drop your product URL and it automatically builds the visuals, voice, and pacing. It’s built for creators and brands who want performance-ready ads without hiring teams. Product videos, avatar ads, and Aurora-powered ultra-realistic presenters, all in one place. I tested it on a real product and the result speaks for itself. From AI avatars that deliver your script naturally to full video ads made from a single URL, it’s easily one of the fastest ways to create marketing-ready content. Start creating in seconds →

Eyisha Zyer

25,432 görüntüleme • 10 ay önce

Introducing CapCut Design Studio 2.0. A reimagined experience for Design on CapCut Web, making design more intuitive, visual, and exploratory, the way ideas naturally happen. Built on an infinite AI canvas, Design Studio 2.0 brings your references, drafts, iterations, assets, and ideas into one fluid workspace. You can remix visuals, explore endless ideas in one space, edit with brushes, refine layers and elements, and co-create with an AI design agent in real time. Just think visually and create freely. Because maybe, you were always more creative than you thought! Stop templating. Start designing now. Users get 20 free generations per day. RT + comment in 5hr to get 200 free credits.

Introducing CapCut Design Studio 2.0. A reimagined experience for Design on CapCut Web, making design more intuitive, visual, and exploratory, the way ideas naturally happen. Built on an infinite AI canvas, Design Studio 2.0 brings your references, drafts, iterations, assets, and ideas into one fluid workspace. You can remix visuals, explore endless ideas in one space, edit with brushes, refine layers and elements, and co-create with an AI design agent in real time. Just think visually and create freely. Because maybe, you were always more creative than you thought! Stop templating. Start designing now. Users get 20 free generations per day. RT + comment in 5hr to get 200 free credits.

CapCut

7,358,398 görüntüleme • 3 ay önce

Dreamina Seedance 2.0 is LIVE on CapCut app, desktop & web, starting gradually in Indonesia, Philippines, Thailand, Vietnam, Malaysia, Brazil and Mexico with expansion over time. Generate and edit with industry-leading quality in one seamless workflow. Built to unlock new possibilities in visual storytelling with CapCut: - SOTA long-form coherence, up to 15s videos with multi-shot storytelling and exceptional text prompt adherence - Built-in dialogue, lipsync, and immersive spatial sound - Multimodal reference for greater creative control and precision Find Dreamina Seedance 2.0 in the following CapCut features: - Quick try: AI Lab & AI Generator (app, v17.1.0) - Generate + edit workflow: Media → AI Video (app & desktop) - AI-native workflow with omni reference: Video Studio (our latest canvas-based ai production workspace built for everyone from beginners to pro, access via CapCut web)

Dreamina Seedance 2.0 is LIVE on CapCut app, desktop & web, starting gradually in Indonesia, Philippines, Thailand, Vietnam, Malaysia, Brazil and Mexico with expansion over time. Generate and edit with industry-leading quality in one seamless workflow. Built to unlock new possibilities in visual storytelling with CapCut: - SOTA long-form coherence, up to 15s videos with multi-shot storytelling and exceptional text prompt adherence - Built-in dialogue, lipsync, and immersive spatial sound - Multimodal reference for greater creative control and precision Find Dreamina Seedance 2.0 in the following CapCut features: - Quick try: AI Lab & AI Generator (app, v17.1.0) - Generate + edit workflow: Media → AI Video (app & desktop) - AI-native workflow with omni reference: Video Studio (our latest canvas-based ai production workspace built for everyone from beginners to pro, access via CapCut web)

CapCut

7,173,383 görüntüleme • 5 ay önce

Here are some of my experiments with AI generated filmmaking, pushing realism, narrative texture, and visual continuity as far as current tools allow. I combined multiple models for this and honestly, I’m pretty satisfied with how far it’s come. There are still rough spots, especially in transition seams between start and end frames, but compared to what was possible back in January, the progress feels massive. All the color and sound were manually adjusted I’m genuinely excited to see how far we can go in 2026. For this project, I call it Subject 168. I’d love to hear your feedback. To help maintain all the production costs, I used WaveSpeedAI for this one.

Here are some of my experiments with AI generated filmmaking, pushing realism, narrative texture, and visual continuity as far as current tools allow. I combined multiple models for this and honestly, I’m pretty satisfied with how far it’s come. There are still rough spots, especially in transition seams between start and end frames, but compared to what was possible back in January, the progress feels massive. All the color and sound were manually adjusted I’m genuinely excited to see how far we can go in 2026. For this project, I call it Subject 168. I’d love to hear your feedback. To help maintain all the production costs, I used WaveSpeedAI for this one.

DStudioproject

219,368 görüntüleme • 9 ay önce

Veo 3.1 + n8n is f*cking ridiculous 🤯 This AI system automates an entire UGC content pipeline using n8n + Google's new Veo 3.1. Ultra-realistic output. True-to-life textures. Audio included. Perfect for ecommerce brands spending $10k+/month on influencer content that takes weeks to produce. Here's what's different with Veo 3.1: → Every video is ultra-realistic with true-to-life textures → Full commercial ownership → Audio automatically generated → A few bucks per video vs $500+ per creator → Stronger prompt control = exactly what you want The n8n automation handles everything: → Upload one product image via n8n form → Add creative direction for your UGC scenario → Veo 3.1 generates ultra-realistic videos with audio → Outputs UGC, unboxings, demos & testimonials → Production-ready videos delivered instantly Built 100% in n8n. Want the complete n8n workflow? > Comment "VEO" > Like this post And I'll send it over (must be following so I can DM)

Veo 3.1 + n8n is f*cking ridiculous 🤯 This AI system automates an entire UGC content pipeline using n8n + Google's new Veo 3.1. Ultra-realistic output. True-to-life textures. Audio included. Perfect for ecommerce brands spending $10k+/month on influencer content that takes weeks to produce. Here's what's different with Veo 3.1: → Every video is ultra-realistic with true-to-life textures → Full commercial ownership → Audio automatically generated → A few bucks per video vs $500+ per creator → Stronger prompt control = exactly what you want The n8n automation handles everything: → Upload one product image via n8n form → Add creative direction for your UGC scenario → Veo 3.1 generates ultra-realistic videos with audio → Outputs UGC, unboxings, demos & testimonials → Production-ready videos delivered instantly Built 100% in n8n. Want the complete n8n workflow? > Comment "VEO" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

53,754 görüntüleme • 10 ay önce

I plugged ChatGPT Luna 5.6 and Claude Opus 5 into Blender through MCP, and one of them is one-shotting entire 3D scenes now. Top is Luna 5.6 in fast mode modeling ship cannons with a firing animation. Watching the scene grow mesh by mesh in real time is a separate kind of dopamine. Bottom is Opus 5 building a full carriage scene with terrain, rocks and lighting. This one is simply built for 3D -- the whole thing from a single prompt with zero retries and zero corrections. The entire bridge is one open-source repo, no Python and no modeling skills required: > The repo is with 16.9k stars under MIT license. > It works with any model -- Claude, GPT, Cursor, any MCP client. > The model sees your scene through a live socket and edits it in real time. A year ago this workflow didn't exist, and now the gap between an idea and a rendered 3D scene is one prompt. Save this one -- you will come back for the repo ↓

I plugged ChatGPT Luna 5.6 and Claude Opus 5 into Blender through MCP, and one of them is one-shotting entire 3D scenes now. Top is Luna 5.6 in fast mode modeling ship cannons with a firing animation. Watching the scene grow mesh by mesh in real time is a separate kind of dopamine. Bottom is Opus 5 building a full carriage scene with terrain, rocks and lighting. This one is simply built for 3D -- the whole thing from a single prompt with zero retries and zero corrections. The entire bridge is one open-source repo, no Python and no modeling skills required: > The repo is with 16.9k stars under MIT license. > It works with any model -- Claude, GPT, Cursor, any MCP client. > The model sees your scene through a live socket and edits it in real time. A year ago this workflow didn't exist, and now the gap between an idea and a rendered 3D scene is one prompt. Save this one -- you will come back for the repo ↓

slash1s

150,102 görüntüleme • 1 ay önce

Introducing Jitsu, the open source event data pipeline. Every signup, click and payment in your product is an event. Most companies ship those off to a vendor and pay by the event to read them back. We run the same job on your own infrastructure. One script tag to collect, one workspace to route, and a provisioned ClickHouse on the other side. Or send everything to Snowflake, BigQuery, Redshift, Postgres, MySQL. Capturing events is unlimited and free. We only charge for events we deliver to a destination. Need to change an event on its way through? Write a function in the workspace and we run it on everything in flight. MIT licensed, so the whole thing is yours to read, change and run. 200k delivered events a month, free.

Introducing Jitsu, the open source event data pipeline. Every signup, click and payment in your product is an event. Most companies ship those off to a vendor and pay by the event to read them back. We run the same job on your own infrastructure. One script tag to collect, one workspace to route, and a provisioned ClickHouse on the other side. Or send everything to Snowflake, BigQuery, Redshift, Postgres, MySQL. Capturing events is unlimited and free. We only charge for events we deliver to a destination. Need to change an event on its way through? Write a function in the workspace and we run it on everything in flight. MIT licensed, so the whole thing is yours to read, change and run. 200k delivered events a month, free.

Soham Mehta

34,694 görüntüleme • 6 gün önce

🚀 Exciting News! We're thrilled to announce the launch of Qwen Chat ( ) – your new go-to Web UI for interacting with Qwen models! 🌟 💬 Chat effortlessly with our flagship model Qwen2.5-Plus , explore vision-language capabilities with Qwen2-VL-Max , and dive into reasoning models like QwQ and QVQ, code with coding expert Qwen2.5-Coder-32B-Instruct, etc. ✨ Key Features: * Choose & compare multiple models in one interface * Upload documents & get answers based on them * Preview mode with HTML support * Upload images for visual understanding 🌟 Coming Soon: Web search, image generation, voice mode, and more! 🔗 Ready to experience the future? Start to chat with Qwen today 💬 Feel free to send us your feedback and suggestions!

🚀 Exciting News! We're thrilled to announce the launch of Qwen Chat ( ) – your new go-to Web UI for interacting with Qwen models! 🌟 💬 Chat effortlessly with our flagship model Qwen2.5-Plus , explore vision-language capabilities with Qwen2-VL-Max , and dive into reasoning models like QwQ and QVQ, code with coding expert Qwen2.5-Coder-32B-Instruct, etc. ✨ Key Features: * Choose & compare multiple models in one interface * Upload documents & get answers based on them * Preview mode with HTML support * Upload images for visual understanding 🌟 Coming Soon: Web search, image generation, voice mode, and more! 🔗 Ready to experience the future? Start to chat with Qwen today 💬 Feel free to send us your feedback and suggestions!

Qwen

215,434 görüntüleme • 1 yıl önce

I tried CapCut Design Studio and understood where design is headed. I transformed my Gumroad ebooks into a complete visual campaign using AI. This is no longer just video editing; it feels like a creative studio powered by AI. Design Studio is a space where you can freely compare, manage, and expand multiple desing versions on one Infinite Canvas Workflow. The interesting thing isn't just that it generates images. The real power is that you can explore, correct, and refine the idea without starting from scratch every time. Shifing from prompt-based output to iterative creative exploration. With AI Agents integrated directly into the canvas, it acts as an instant co-creator anywhere. And that's where the shift happens: AI stops being just a "give me an image" machine and transitions from single output to scalable design production. Features like Batch Text Editing automatically recognize and translate copy across 50+ languages in one click while maintaining the original layout, while Elements editing gives you Flexible Creative Control to fine-tune elements like a raw PSD file. This is no longer just about prompts. It's about designing with AI. #capcutdesignstudio #capcut

I tried CapCut Design Studio and understood where design is headed. I transformed my Gumroad ebooks into a complete visual campaign using AI. This is no longer just video editing; it feels like a creative studio powered by AI. Design Studio is a space where you can freely compare, manage, and expand multiple desing versions on one Infinite Canvas Workflow. The interesting thing isn't just that it generates images. The real power is that you can explore, correct, and refine the idea without starting from scratch every time. Shifing from prompt-based output to iterative creative exploration. With AI Agents integrated directly into the canvas, it acts as an instant co-creator anywhere. And that's where the shift happens: AI stops being just a "give me an image" machine and transitions from single output to scalable design production. Features like Batch Text Editing automatically recognize and translate copy across 50+ languages in one click while maintaining the original layout, while Elements editing gives you Flexible Creative Control to fine-tune elements like a raw PSD file. This is no longer just about prompts. It's about designing with AI. #capcutdesignstudio #capcut

Don Quijote de la IA

41,801 görüntüleme • 2 ay önce

I built a Three.js rendering study inspired by Tiny Glade’s painterly aesthetic, and got it running at 120fps in the browser. Over the past few weeks, I’ve been studying how stylized games achieve that soft, handcrafted look in real time. Tiny Glade was a huge inspiration, and I wanted to use the browser as a constraint: no compute shaders, no native GPU access, and single-threaded JavaScript. As part of this study, I implemented: - GPU-driven instanced brick walls with procedural noise jitter and elastic build animations - Tree, bush, and flower rendering with billboard card expansion, wind sway, and grow animations - Procedural grass with terrain conformance and interactive push deformation - Animated water with layered noise, interactive ripples, and Fresnel-based reflections - Procedural terrain with slope-aware triplanar materials, dirt paths, and rocks - A 7-pass post-processing stack with TAA, bloom, depth of field, painterly filtering, ACES tonemapping, 3D LUT color grading, and film grain The hardest part wasn’t writing any single shader. It was making all of these systems work together at high frame rates inside WebGL, where every millisecond counts and performance problems compound quickly across animation, materials, post-processing, and scene management. Some techniques in this study were inspired by analyzing Tiny Glade’s rendering approach, while others were original implementations built from scratch from visual reference. That contrast taught me a lot: recreating an effect is one challenge, but designing your own shaders and systems to achieve a similar feel is a very different one. This is a private educational rendering study. Some temporary placeholder content is being used during the research phase, and any public or production version would use original or properly licensed assets. Huge credit to Pounce Light for the incredible art direction and rendering work in Tiny Glade: Three.js #gamedev #webgl #threejs #rendering #graphics #realtimerendering #shaderdev

I built a Three.js rendering study inspired by Tiny Glade’s painterly aesthetic, and got it running at 120fps in the browser. Over the past few weeks, I’ve been studying how stylized games achieve that soft, handcrafted look in real time. Tiny Glade was a huge inspiration, and I wanted to use the browser as a constraint: no compute shaders, no native GPU access, and single-threaded JavaScript. As part of this study, I implemented: - GPU-driven instanced brick walls with procedural noise jitter and elastic build animations - Tree, bush, and flower rendering with billboard card expansion, wind sway, and grow animations - Procedural grass with terrain conformance and interactive push deformation - Animated water with layered noise, interactive ripples, and Fresnel-based reflections - Procedural terrain with slope-aware triplanar materials, dirt paths, and rocks - A 7-pass post-processing stack with TAA, bloom, depth of field, painterly filtering, ACES tonemapping, 3D LUT color grading, and film grain The hardest part wasn’t writing any single shader. It was making all of these systems work together at high frame rates inside WebGL, where every millisecond counts and performance problems compound quickly across animation, materials, post-processing, and scene management. Some techniques in this study were inspired by analyzing Tiny Glade’s rendering approach, while others were original implementations built from scratch from visual reference. That contrast taught me a lot: recreating an effect is one challenge, but designing your own shaders and systems to achieve a similar feel is a very different one. This is a private educational rendering study. Some temporary placeholder content is being used during the research phase, and any public or production version would use original or properly licensed assets. Huge credit to Pounce Light for the incredible art direction and rendering work in Tiny Glade: Three.js #gamedev #webgl #threejs #rendering #graphics #realtimerendering #shaderdev

Ibrahim Boona

58,625 görüntüleme • 5 ay önce

POV: she caught the ball… then scored the goal Made with GPT Image 2 & Seedance on TapNow Prompt: Ultra-realistic FIFA World Cup Final live broadcast at a massive floodlit stadium at night. Use the uploaded image ONLY as inspiration for stadium atmosphere, crowd density, sports broadcast framing, cinematic lighting, and telephoto camera style. Visual style: authentic FIFA World Cup television broadcast with live scorebug, running match clock, LIVE indicator, sports ticker, subtle TV grain, slight chromatic aberration, HD compression artifacts, LED stadium reflections, realistic crowd atmosphere. Multiple 400mm–600mm telephoto broadcast cameras with extreme telephoto compression, creamy cinematic bokeh, flattened background depth, razor-thin depth of field, slow telephoto push-ins, and realistic handheld sports-broadcast motion. 0:00–0:04 — The woman sits beside her boyfriend near the front-row pitch barrier, laughing and talking naturally while stadium chants echo around them. Wind softly moves her balayage lob haircut beneath the floodlights. Crowd heavily compressed into creamy telephoto bokeh. 0:04–0:07 — A football suddenly deflects toward the crowd at high speed. Nearby fans react in shock. She instantly notices the incoming ball. 0:07–0:10 — She catches the football smoothly while seated near the barrier. Her boyfriend reacts with disbelief and excitement. Crowd gasps while commentators shout realistically: “WHAT A CATCH!” 0:10–0:15 — She confidently climbs over the advertising barrier and lands elegantly onto the pitch. Broadcast cameras quickly follow her movement like a real live FIFA production. She begins lightly dribbling as crowd intensity rises. 0:15–0:19 — She dribbles forward with realistic professional football control. A defender rushes toward her. She performs a sleek body feint and smoothly dodges him while grass particles rise naturally beneath her cleats. 0:19–0:23 — Dynamic live broadcast cuts as she performs realistic football skills: step-over, nutmeg, heel-tap direction change, quick acceleration burst. Players react with surprise while realism remains grounded. 0:23–0:27 — She enters the penalty area. Goalkeeper charges forward. She fakes a shot, shifts left elegantly, and curls the football beautifully into the top corner. Net ripples realistically as the stadium explodes. 0:27–0:30 — Heroic broadcast close-up. Entire stadium erupts. Her boyfriend celebrates wildly from the stands. She laughs breathlessly near the goal while cameras surround her under dramatic floodlights. Final slow telephoto push-in toward her smiling face. Audio throughout: realistic football crowd chants, whistles, commentators, player shouts, cleats on grass, football impact sounds, natural British dialogue, crowd explosions after the goal, authentic live sports broadcast energy.

POV: she caught the ball… then scored the goal Made with GPT Image 2 & Seedance on TapNow Prompt: Ultra-realistic FIFA World Cup Final live broadcast at a massive floodlit stadium at night. Use the uploaded image ONLY as inspiration for stadium atmosphere, crowd density, sports broadcast framing, cinematic lighting, and telephoto camera style. Visual style: authentic FIFA World Cup television broadcast with live scorebug, running match clock, LIVE indicator, sports ticker, subtle TV grain, slight chromatic aberration, HD compression artifacts, LED stadium reflections, realistic crowd atmosphere. Multiple 400mm–600mm telephoto broadcast cameras with extreme telephoto compression, creamy cinematic bokeh, flattened background depth, razor-thin depth of field, slow telephoto push-ins, and realistic handheld sports-broadcast motion. 0:00–0:04 — The woman sits beside her boyfriend near the front-row pitch barrier, laughing and talking naturally while stadium chants echo around them. Wind softly moves her balayage lob haircut beneath the floodlights. Crowd heavily compressed into creamy telephoto bokeh. 0:04–0:07 — A football suddenly deflects toward the crowd at high speed. Nearby fans react in shock. She instantly notices the incoming ball. 0:07–0:10 — She catches the football smoothly while seated near the barrier. Her boyfriend reacts with disbelief and excitement. Crowd gasps while commentators shout realistically: “WHAT A CATCH!” 0:10–0:15 — She confidently climbs over the advertising barrier and lands elegantly onto the pitch. Broadcast cameras quickly follow her movement like a real live FIFA production. She begins lightly dribbling as crowd intensity rises. 0:15–0:19 — She dribbles forward with realistic professional football control. A defender rushes toward her. She performs a sleek body feint and smoothly dodges him while grass particles rise naturally beneath her cleats. 0:19–0:23 — Dynamic live broadcast cuts as she performs realistic football skills: step-over, nutmeg, heel-tap direction change, quick acceleration burst. Players react with surprise while realism remains grounded. 0:23–0:27 — She enters the penalty area. Goalkeeper charges forward. She fakes a shot, shifts left elegantly, and curls the football beautifully into the top corner. Net ripples realistically as the stadium explodes. 0:27–0:30 — Heroic broadcast close-up. Entire stadium erupts. Her boyfriend celebrates wildly from the stands. She laughs breathlessly near the goal while cameras surround her under dramatic floodlights. Final slow telephoto push-in toward her smiling face. Audio throughout: realistic football crowd chants, whistles, commentators, player shouts, cleats on grass, football impact sounds, natural British dialogue, crowd explosions after the goal, authentic live sports broadcast energy.

Shami

12,458 görüntüleme • 3 ay önce