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What can LTX HDR unlock for VFX workflows? Doug Hogan put together a deep dive covering setup, HDR output, Blender relighting, and why this matters beyond standard SDR AI video pipelines.

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13,360,484 görüntüleme • 4 ay önce •via X (Twitter)

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1/ AI video is getting crowded. What matters now isn’t just who can generate a cool clip, it’s which tools actually fit real production workflows. LTX-2.3 inside LTX Studio feels like a meaningful step in that direction. Open weights and local runs are impressive, but LTX Studio Pro is where the model really unlocks its full quality. Some amazing examples:

1/ AI video is getting crowded. What matters now isn’t just who can generate a cool clip, it’s which tools actually fit real production workflows. LTX-2.3 inside LTX Studio feels like a meaningful step in that direction. Open weights and local runs are impressive, but LTX Studio Pro is where the model really unlocks its full quality. Some amazing examples:

Chubby♨️

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This could be a HUGE deal for professional AI video workflows. Just ran my first test with Topaz Labs Hyperion 2.5. Taking an 8-bit AI generation and turning it into footage that can actually enter a 10/16-bit HDR finishing pipelinechanges the conversation completely. AI video isn’t just getting better at generation. The entire production pipeline is catching up. 🔥 Here’s my first test 👇

This could be a HUGE deal for professional AI video workflows. Just ran my first test with Topaz Labs Hyperion 2.5. Taking an 8-bit AI generation and turning it into footage that can actually enter a 10/16-bit HDR finishing pipelinechanges the conversation completely. AI video isn’t just getting better at generation. The entire production pipeline is catching up. 🔥 Here’s my first test 👇

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Take a look at this ⚡️ @Bbbn192 showcased this stylized lightning setup in Blender and shared a detailed breakdown of how it all comes together with Geometry Nodes. Really love how this recreated an energetic, fully simulated VFX look so beautifully. 🔥 If you’re into custom advanced setups, procedural workflows, and clever simulation work, check this out and tell me: would you use this for spells, sci-fi effects, or motion graphics? 👀 #B3D #Blender3D #Animation

Take a look at this ⚡️ @Bbbn192 showcased this stylized lightning setup in Blender and shared a detailed breakdown of how it all comes together with Geometry Nodes. Really love how this recreated an energetic, fully simulated VFX look so beautifully. 🔥 If you’re into custom advanced setups, procedural workflows, and clever simulation work, check this out and tell me: would you use this for spells, sci-fi effects, or motion graphics? 👀 #B3D #Blender3D #Animation

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I didn’t expect AI to make ad creation this fast. Just tested Pollo AI Marketing Studio to see what it can do. Tried making a sports streaming app ad from a single product image. No editing. No timeline. No production setup. Just picked a video format and it generated a full video ad in seconds. What stood out wasn’t just the output,, it was how simple the whole process is now. What used to take multiple steps and tools can now be done in a single workflow. Curious how others see this, would you use something like this for ads?

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MOST PEOPLE DON’T KNOW THIS IS EVEN POSSIBLE. You can swap your face live on camera in real-time using just ONE image. OPEN SOURCE. FREE TO INSTALL. No expensive tools, studio setup or complex pipelines. Real-time face swap. Live webcam. VIDEO DEEPFAKE. Here is what is going on. Most creators struggle with content production. You need editing, VFX tools, time, and skills to create something engaging. The problem has always been this: AI face swap tools are slow, offline, or require heavy editing workflows. Upload → wait → render → export → repeat. Someone just killed that entire workflow. It is called Deep Live Cam. You connect a single image to your webcam, and it swaps your face live - instantly. No rendering. No waiting. No editing. And then it acts in real time. swaps faces live on webcam or video supports multiple faces at once keeps natural expressions with mouth masking works with CPU, GPU, or Mac lets you stream, record, or create content instantly You can literally: go live as anyone create viral memes in seconds run live shows with different identities replace actors in videos in real time prank, entertain, or build content at scale Professional studios spend thousands on VFX pipelines to do this. This does it in seconds. Someone built a real-time deepfake engine… and put it on the internet for free.

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Rina

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Hi everyone! I’m happy to share that I’ve been given the opportunity to create a class with Coloso! This low-poly chibi model and animation are what I’ve been building for the class — covering modeling, texturing, rigging, animation, effects, and After Effects compositing. Pre-orders open on Coloso Global next week, and Coloso and I put together a $55 coupon for my followers. Coupon link in the replies! 👇 Coloso Global #Blender #AfterEffects #b3d #3d #animation

cartridge102

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Blender just became a prompt box. Kimi K3 + Blender MCP can take a simple text prompt and build an entire 3D scene for you. terrain, buildings, lighting, materials, camera movement, animation, even the Python scripts holding everything together. but the crazy part isn’t just that it can build the scene. Kimi can inspect what it created, understand what looks wrong, then go back into Blender and fix the actual scene before rendering again. the camera can be clipping through a tree, the lighting can feel off, the city can look too artificial, and instead of starting over, Kimi can make the changes directly inside Blender. and because everything is happening in Blender, you’re not left with a locked AI-generated video. you get the actual 3D scene. every object, material, light, camera and keyframe stays editable. a few years ago, creating something like this could take weeks of modeling, scripting, lighting and animation. now you can describe the world, let Kimi build the first 90%, and spend your time making the final 10% actually look good. that’s what makes Kimi K3 + Blender MCP so interesting. it’s getting dangerously close to text-to-3D, except the result is a real Blender project you can keep editing.

Blender just became a prompt box. Kimi K3 + Blender MCP can take a simple text prompt and build an entire 3D scene for you. terrain, buildings, lighting, materials, camera movement, animation, even the Python scripts holding everything together. but the crazy part isn’t just that it can build the scene. Kimi can inspect what it created, understand what looks wrong, then go back into Blender and fix the actual scene before rendering again. the camera can be clipping through a tree, the lighting can feel off, the city can look too artificial, and instead of starting over, Kimi can make the changes directly inside Blender. and because everything is happening in Blender, you’re not left with a locked AI-generated video. you get the actual 3D scene. every object, material, light, camera and keyframe stays editable. a few years ago, creating something like this could take weeks of modeling, scripting, lighting and animation. now you can describe the world, let Kimi build the first 90%, and spend your time making the final 10% actually look good. that’s what makes Kimi K3 + Blender MCP so interesting. it’s getting dangerously close to text-to-3D, except the result is a real Blender project you can keep editing.

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Seedance 2.0 is now LIVE on the Pollo AI App (iOS & Android) I’ve actually tried Seedance 2.0 on Pollo AI, and I can say it’s a solid upgrade. The motion feels more natural, and having audio and visuals generated together makes the whole output more cohesive. What stood out for me most is the level of control — being able to adjust performance, lighting, and camera really changes how you approach storytelling. 🔥 Plus, grab 60% OFF for a limited time on Pollo AI! Perfect for anyone diving into AI video creation.

Leonardo

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This workflow is more interesting than simply “AI + Blender.” GPT-6 Astra produces the geometry → Blender constructs the composition → Dreamina’s Clay Renderer Plugin imports the clay model with one click → Seedance 2.5 renders it into the final output. The camera and layout stay unchanged during the transfer, so the original 3D setup is preserved. Plus, with competitive pricing for Seedance 2.5 and 2.0, you can explore additional looks without adding unnecessary cost. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Worth a test. #Dreamina #DreaminaPartner

This workflow is more interesting than simply “AI + Blender.” GPT-6 Astra produces the geometry → Blender constructs the composition → Dreamina’s Clay Renderer Plugin imports the clay model with one click → Seedance 2.5 renders it into the final output. The camera and layout stay unchanged during the transfer, so the original 3D setup is preserved. Plus, with competitive pricing for Seedance 2.5 and 2.0, you can explore additional looks without adding unnecessary cost. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Worth a test. #Dreamina #DreaminaPartner

Zara Khan

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World Model is trending— let's revisit our HunyuanWorld journey. We’ve been pioneering open-source 3D world generation in the past two months, and this ride’s only getting started. 🌍 📅 July: HunyuanWorld 1.0 📌 First open-source 3D world model compatible with CG pipelines (Unity/Unreal/Blender) 📌 Hit 2K+ GitHub stars in just two months ⭐—thank you for the love! 📅 August: 1.0-Lite 📌Same top-tier quality, running on consumer GPUs! 📅 September: 1.0-Voyager 📌 Direct 3D output + world memory—taking exploration further! Seamlessly integrated into CG pipelines with layered 3D modeling (assets, terrain, skybox) and fully open-sourced.. we’re fully committed to building open-source spatial intelligence for all! 🚀 💡 Why it matters? ✅ Seamless CG Pipeline Integration: Export generated 3D scenes as standard mesh formats, effortlessly integrating into industry-standard tools like Blender, Unity, and Unreal Engine for direct editing, animation, and physical simulation. ✅ Hierarchical Scene Editing: Deconstruct scenes into semantic layers (sky, background, foreground objects) via instance recognition and layer decomposition, allowing for atomic-level control—independently modify, relocate, or replace objects without rebuilding the entire world. Project page: Github: Amazing creations by Stijn Spanhove camenduru GENEL | AIを用いた動画制作 apolinario 🌐 とりにく Directive Creator 🪥 👇 #AI #3DGeneration #OpenSource #WorldModels #Hunyuan3D #HunyuanWorld

World Model is trending— let's revisit our HunyuanWorld journey. We’ve been pioneering open-source 3D world generation in the past two months, and this ride’s only getting started. 🌍 📅 July: HunyuanWorld 1.0 📌 First open-source 3D world model compatible with CG pipelines (Unity/Unreal/Blender) 📌 Hit 2K+ GitHub stars in just two months ⭐—thank you for the love! 📅 August: 1.0-Lite 📌Same top-tier quality, running on consumer GPUs! 📅 September: 1.0-Voyager 📌 Direct 3D output + world memory—taking exploration further! Seamlessly integrated into CG pipelines with layered 3D modeling (assets, terrain, skybox) and fully open-sourced.. we’re fully committed to building open-source spatial intelligence for all! 🚀 💡 Why it matters? ✅ Seamless CG Pipeline Integration: Export generated 3D scenes as standard mesh formats, effortlessly integrating into industry-standard tools like Blender, Unity, and Unreal Engine for direct editing, animation, and physical simulation. ✅ Hierarchical Scene Editing: Deconstruct scenes into semantic layers (sky, background, foreground objects) via instance recognition and layer decomposition, allowing for atomic-level control—independently modify, relocate, or replace objects without rebuilding the entire world. Project page: Github: Amazing creations by Stijn Spanhove camenduru GENEL | AIを用いた動画制作 apolinario 🌐 とりにく Directive Creator 🪥 👇 #AI #3DGeneration #OpenSource #WorldModels #Hunyuan3D #HunyuanWorld

Tencent HY

20,178 görüntüleme • 1 yıl önce

Kling 3.0 for AI UGC videos is absolutely insane 🤯 I spent 25,000+ credits in Kling perfecting the ultimate prompting framework to get the best AI UGC outputs possible. And the 3.0 update just made everything even better. Perfect for DTC brands and agencies who want high-quality AI UGC without paying $500/video for actual UGC. Here's what Kling 3.0 unlocks for AI UGCL → "AI Director" system that understands full scripts and auto-schedules camera angles (shot/reverse shot) in one generation → 3 to 15 second cinematic clips with full temporal coherence → Improved character and element locking so your subject stays consistent across shots and angles → Native 4K output for both video and stills — actually usable for professional ad creative And best of all: perfect character consistency ACROSS different shots. What this means for AI UGC: - Multi-shot storytelling in a single generation cycle - Longer clips that actually hold together - Consistent characters across your entire ad - Output quality that's ready for paid media This is the closest AI video has gotten to replacing a real shoot for performance creative. I recorded a full breakdown of the prompting framework I built after burning through 25,000 credits. Want access to all the prompts I use to create AI UGC with Kling? > Like this post > Comment "KLING" And I'll send it over (must be following so I can DM)

Kling 3.0 for AI UGC videos is absolutely insane 🤯 I spent 25,000+ credits in Kling perfecting the ultimate prompting framework to get the best AI UGC outputs possible. And the 3.0 update just made everything even better. Perfect for DTC brands and agencies who want high-quality AI UGC without paying $500/video for actual UGC. Here's what Kling 3.0 unlocks for AI UGCL → "AI Director" system that understands full scripts and auto-schedules camera angles (shot/reverse shot) in one generation → 3 to 15 second cinematic clips with full temporal coherence → Improved character and element locking so your subject stays consistent across shots and angles → Native 4K output for both video and stills — actually usable for professional ad creative And best of all: perfect character consistency ACROSS different shots. What this means for AI UGC: - Multi-shot storytelling in a single generation cycle - Longer clips that actually hold together - Consistent characters across your entire ad - Output quality that's ready for paid media This is the closest AI video has gotten to replacing a real shoot for performance creative. I recorded a full breakdown of the prompting framework I built after burning through 25,000 credits. Want access to all the prompts I use to create AI UGC with Kling? > Like this post > Comment "KLING" And I'll send it over (must be following so I can DM)

Mike Futia

25,607 görüntüleme • 7 ay önce

Bye bye, VFX artists? Is this really the end? Why would a studio spend $10,000 on a single VFX shot… when tools like Seedance 2.0 can generate an entire cinematic scene in minutes? That’s the uncomfortable question no one wants to answer. We’re watching a shift happen in real time. Jobs are already being reshaped. Pipelines are changing. And the speed of evolution is hard to ignore. In just 3 years, AI went from experimental… to producing complex, high-quality visuals that were unthinkable before. Now compare that to the traditional path: A VFX artist can take years—often a decade— to reach a professional level. So what happens when that gap collapses? This isn’t just about replacing artists. It’s about redefining what “creating” even means. The barrier to entry is disappearing. The tools are getting exponentially better. And the timeline is accelerating. The real question isn’t if this changes the industry— It’s how fast.

Bye bye, VFX artists? Is this really the end? Why would a studio spend $10,000 on a single VFX shot… when tools like Seedance 2.0 can generate an entire cinematic scene in minutes? That’s the uncomfortable question no one wants to answer. We’re watching a shift happen in real time. Jobs are already being reshaped. Pipelines are changing. And the speed of evolution is hard to ignore. In just 3 years, AI went from experimental… to producing complex, high-quality visuals that were unthinkable before. Now compare that to the traditional path: A VFX artist can take years—often a decade— to reach a professional level. So what happens when that gap collapses? This isn’t just about replacing artists. It’s about redefining what “creating” even means. The barrier to entry is disappearing. The tools are getting exponentially better. And the timeline is accelerating. The real question isn’t if this changes the industry— It’s how fast.

nachos2d

43,813 görüntüleme • 5 ay önce

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

Alex Barashkov

28,300 görüntüleme • 2 ay önce

Most AI video tools generate clips. The interesting ones help you build a complete creative workflow. MiniMax H3 stood out because it can use text, images, audio, and video together with Omni Reference. That makes it easier to keep the style, branding, and creative direction consistent from the first prompt to the final video. What caught my attention: • Text + image + audio + video inputs • Native 2K video generation • Better control over edits and refinements • Built for ads, e-commerce, gaming, and branded content AI video is moving beyond single prompts. It is becoming a creative workspace.MiniMax Design (H3) Try here 👇 #hailuoai #hailuo #MiniMaxH3 #H3 #AIVideo #GenerativeAI

Most AI video tools generate clips. The interesting ones help you build a complete creative workflow. MiniMax H3 stood out because it can use text, images, audio, and video together with Omni Reference. That makes it easier to keep the style, branding, and creative direction consistent from the first prompt to the final video. What caught my attention: • Text + image + audio + video inputs • Native 2K video generation • Better control over edits and refinements • Built for ads, e-commerce, gaming, and branded content AI video is moving beyond single prompts. It is becoming a creative workspace.MiniMax Design (H3) Try here 👇 #hailuoai #hailuo #MiniMaxH3 #H3 #AIVideo #GenerativeAI

Alina Davy

91,979 görüntüleme • 1 ay önce

Introducing a Major Update on AIOZ AI V1: AI Challenges Are Here! AIOZ AI Challenges is a collaborative space where AI builders and tech enthusiasts can create, submit, and explore innovative models tackling real-world problems. This isn’t just a leaderboard — it’s a launchpad for hands-on learning, community collaboration, and potential rewarded innovation. Challenge One: "Face Anti-Spoofing" Starts Now This challenge dives deep into advanced computer vision—tasking you to detect spoofing attacks like printed photos, video replays, and 3D masks, which are critical threats to real-world biometric systems. Rewards: Upload your model to AIOZ AI V1 and unlock a chance to receive a share of the 4,500 AIOZ token challenge rewards. Full Challenge Details & Submission Guidelines: Build your model on AIOZ AI—the Web3 collaborative marketplace powering the DePIN Ecosystem for AI.

Introducing a Major Update on AIOZ AI V1: AI Challenges Are Here! AIOZ AI Challenges is a collaborative space where AI builders and tech enthusiasts can create, submit, and explore innovative models tackling real-world problems. This isn’t just a leaderboard — it’s a launchpad for hands-on learning, community collaboration, and potential rewarded innovation. Challenge One: "Face Anti-Spoofing" Starts Now This challenge dives deep into advanced computer vision—tasking you to detect spoofing attacks like printed photos, video replays, and 3D masks, which are critical threats to real-world biometric systems. Rewards: Upload your model to AIOZ AI V1 and unlock a chance to receive a share of the 4,500 AIOZ token challenge rewards. Full Challenge Details & Submission Guidelines: Build your model on AIOZ AI—the Web3 collaborative marketplace powering the DePIN Ecosystem for AI.

AIOZ Network

1,241,262 görüntüleme • 1 yıl önce

Imagine a livestream where the audience gets to control what happens next. With Vidu S2, you can instantly change the outfit, switch to a completely different character, or transform the world around you by clicking preset content or uploading a reference image. That’s the part of Vidu S2 I find genuinely interesting. It brings real time editing into video, with 720P output, live reference image changes, an AI agent that understands what’s happening in the video, and real time control over styles, characters, outfits and backgrounds. Most AI video tools are still focused on generating the clip. Vidu is pushing toward something more interactive. I can see this being huge for livestreams, gaming and entertainment, where viewers can actively shape what happens instead of just watching. The idea of a video responding to your input in real time feels like a very different future for AI content. Vidu S2 International Version: The entire Vidu S series is currently available for a free trial. Get 300 trial credits here: Vidu AI #ViduAI #ViduS #ViduS2

Imagine a livestream where the audience gets to control what happens next. With Vidu S2, you can instantly change the outfit, switch to a completely different character, or transform the world around you by clicking preset content or uploading a reference image. That’s the part of Vidu S2 I find genuinely interesting. It brings real time editing into video, with 720P output, live reference image changes, an AI agent that understands what’s happening in the video, and real time control over styles, characters, outfits and backgrounds. Most AI video tools are still focused on generating the clip. Vidu is pushing toward something more interactive. I can see this being huge for livestreams, gaming and entertainment, where viewers can actively shape what happens instead of just watching. The idea of a video responding to your input in real time feels like a very different future for AI content. Vidu S2 International Version: The entire Vidu S series is currently available for a free trial. Get 300 trial credits here: Vidu AI #ViduAI #ViduS #ViduS2

KATE

96,028 görüntüleme • 9 gün önce

i'd have to disagree here the problem isn't AI UGC. the problem is most of what people are posting is slop when the quality is there, AI UGC beats real creators we've built the best system for realistic AI UGC videos right now: > realistic visuals > realistic voice > realistic quality > optimized movements and hooks for virality also way cheaper than a real creator and built for scale. mass automation across thousands of posts and multiple accounts. the standard AI tools and templates people are using will never work on organic. it's going to get terrible reach because people can instantly tell it's slop. especially on tiktok where the audience is much younger... you need high quality AI UGC systems that took actual effort to put together these videos can be used at scale across ecom, consumer apps, software etc.. example below:

i'd have to disagree here the problem isn't AI UGC. the problem is most of what people are posting is slop when the quality is there, AI UGC beats real creators we've built the best system for realistic AI UGC videos right now: > realistic visuals > realistic voice > realistic quality > optimized movements and hooks for virality also way cheaper than a real creator and built for scale. mass automation across thousands of posts and multiple accounts. the standard AI tools and templates people are using will never work on organic. it's going to get terrible reach because people can instantly tell it's slop. especially on tiktok where the audience is much younger... you need high quality AI UGC systems that took actual effort to put together these videos can be used at scale across ecom, consumer apps, software etc.. example below:

Miko

85,567 görüntüleme • 6 ay önce