正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

When you've got so much control over the AI tools, you start messing with them for fun🖱️ Image: Midjourney v8.2 Animation: Seedance 2.0 on Runway Upscale: Topaz Labs SPL 2.5 Edit & Color Grading: DaVinci Resolve Timing help: Fable 5

ibexdream

6,569 subscribers

566,061 次观看 • 2 个月前 •via X (Twitter)

科学技术艺术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Vol. 6 is here 🎭 A Midjourney Sref for 3D characters that don't fall apart when you animate them in Seedance 2.0. Made in Midjourney v8.2 --sref 2607057524 --hd --preview Examples + prompts below 👇

Vol. 6 is here 🎭 A Midjourney Sref for 3D characters that don't fall apart when you animate them in Seedance 2.0. Made in Midjourney v8.2 --sref 2607057524 --hd --preview Examples + prompts below 👇

ibexdream

30,814 次观看 • 2 个月前

Vol. 8 of my Midjourney Sref series for 3D characters This one leans soft and pink, anime energy with a strange edge. Built in Midjourney v8.2, tuned to animate in Seedance 2.0 --sref 39816378::2 2655145870::0.5 --exp 20 --hd --preview Examples + prompts below 👇

Vol. 8 of my Midjourney Sref series for 3D characters This one leans soft and pink, anime energy with a strange edge. Built in Midjourney v8.2, tuned to animate in Seedance 2.0 --sref 39816378::2 2655145870::0.5 --exp 20 --hd --preview Examples + prompts below 👇

ibexdream

15,623 次观看 • 2 个月前

Vol. 9 of my Midjourney Sref series for 3D characters Goes from cute toy-like designs to full-on creatures, one code, a lot of range. Built in Midjourney v8.2, ready to animate in Seedance 2.0. --sref 4081569608 --exp 20 --hd --v 8.2 Examples + prompts below 👇

Vol. 9 of my Midjourney Sref series for 3D characters Goes from cute toy-like designs to full-on creatures, one code, a lot of range. Built in Midjourney v8.2, ready to animate in Seedance 2.0. --sref 4081569608 --exp 20 --hd --v 8.2 Examples + prompts below 👇

ibexdream

13,377 次观看 • 2 个月前

Seedance 2.0 is brilliant. Pair it with Grok and it's a lethal combo. If 5–10 of us team up, we could basically make Inception 2. We might even get Leonardo DiCaprio on board... he's one prompt away.

Seedance 2.0 is brilliant. Pair it with Grok and it's a lethal combo. If 5–10 of us team up, we could basically make Inception 2. We might even get Leonardo DiCaprio on board... he's one prompt away.

ibexdream

50,310 次观看 • 7 个月前

Meta just launched its 1st image model after Mark Zuckerberg’s AI shake-up. Muse Image is Meta Superintelligence Labs' first image generator after Muse Spark. They said the model will power new editing features in Meta’s Instagram photo app and be added to its marketer tools for creating platform ads. Meta had relied on Midjourney and Black Forest Labs for generation inside Meta AI. Muse Image brings that layer in-house, so Meta controls quality, cost, and product timing. Consumers get free access through Meta AI, WhatsApp chats, and Instagram Stories. Power users need Meta One or another monthly plan when free limits run out. Users can start from prompts, add photos, annotate edits, or sketch changes directly. Meta says it can erase photobombers, create QR codes, and keep visual text readable. Advertisers get variants through Advantage+ creative, with edits, style swaps, and brand-matched versions. Meta says internal tests trail GPT Image 2 but beat Nano Banana 2 on editing. This is another move in Meta's effort in trying to convert AI infrastructure spending into revenue beyond social ads.

Rohan Paul

20,377 次观看 • 2 个月前

I think the future of AI-assisted anime is not video models, but image continuity models like GPT Image 2.5. Predicting the next frame conditioned on the previous frame gives you much better control than predicting the next few seconds of video. You also don't need to predict all 24 frames every second. Since anime is basically layered animation, you can keep the same image for 5seconds while only the hand is waving or the eyes are blinking. Frame by frame prediction is also the nature of 2D anime. I've never really get the idea with turning everything into ultra-smooth 60 FPS animation. The problem with this model right now is that the 'invisible watermark' is too visible, which is really annoying. When you do chained generations, the watermark keeps stacking up to the point where it actually makes the project worse. It also has very poor color consistency.

I think the future of AI-assisted anime is not video models, but image continuity models like GPT Image 2.5. Predicting the next frame conditioned on the previous frame gives you much better control than predicting the next few seconds of video. You also don't need to predict all 24 frames every second. Since anime is basically layered animation, you can keep the same image for 5seconds while only the hand is waving or the eyes are blinking. Frame by frame prediction is also the nature of 2D anime. I've never really get the idea with turning everything into ultra-smooth 60 FPS animation. The problem with this model right now is that the 'invisible watermark' is too visible, which is really annoying. When you do chained generations, the watermark keeps stacking up to the point where it actually makes the project worse. It also has very poor color consistency.

Linaqruf

13,747 次观看 • 15 天前

💸 Anyone here juggling multiple AI tools for work? I used to switch between ChatGPT, Claude, and different image/video tools all the time — too many tabs, too many subscriptions, and honestly, it slowed down my workflow. Recently, I tried Rita, and their Seedance 2.0 model is what really stood out 👀 It’s an official ByteDance-powered version, so there’s no waiting queue — everything runs fast and smoothly. What’s even more interesting: • Supports real-person facial recognition • Lets you go from idea → video in one workflow • Low barrier to start — new users can try it for free once Personally, I like generating ideas with ChatGPT, then bringing them into Seedance 2.0 to turn them into actual videos. Feels especially useful for: • Content creators / KOLs working across text, images, and video • Digital workers who want efficiency over juggling multiple tools • AI users who want everything in one place ⚠️ Note: 1. Real-Person Face Feature(Comming Soon) 2. All Generated Videos Will Support Commercial Use. Curious — Do you prefer an all-in-one platform, or separate tools for each task?.... Try it → Want premium subscriptions for less? Check out GamsGo — an easy way to save on popular digital services at a lower cost. 👀 Check it Now👉 #RitaAI #Seedance2

💸 Anyone here juggling multiple AI tools for work? I used to switch between ChatGPT, Claude, and different image/video tools all the time — too many tabs, too many subscriptions, and honestly, it slowed down my workflow. Recently, I tried Rita, and their Seedance 2.0 model is what really stood out 👀 It’s an official ByteDance-powered version, so there’s no waiting queue — everything runs fast and smoothly. What’s even more interesting: • Supports real-person facial recognition • Lets you go from idea → video in one workflow • Low barrier to start — new users can try it for free once Personally, I like generating ideas with ChatGPT, then bringing them into Seedance 2.0 to turn them into actual videos. Feels especially useful for: • Content creators / KOLs working across text, images, and video • Digital workers who want efficiency over juggling multiple tools • AI users who want everything in one place ⚠️ Note: 1. Real-Person Face Feature(Comming Soon) 2. All Generated Videos Will Support Commercial Use. Curious — Do you prefer an all-in-one platform, or separate tools for each task?.... Try it → Want premium subscriptions for less? Check out GamsGo — an easy way to save on popular digital services at a lower cost. 👀 Check it Now👉 #RitaAI #Seedance2

Nihan

19,296 次观看 • 4 个月前

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

Zentrix⌚️

14,015 次观看 • 3 个月前

I’ve used all the recent GenAI video models extensively & here’s my 2¢: 🎬 Runway Gen3 Alpha - best image quality & motion for text-to-video & embedded words. Great at prompt travel changes over the course of 10 sec. And I’m super bullish on how gen3 will evolve, hopefully adopting the features listed below. Kling - best quality for image-to-video with prompt control, like eating food. Great clip extension that accounts for character (ie walking stride) & camera movement (speed & angle), rather than just using final frame. But it’s limited availability & Chinese native language is limiting. Used for Spider-Man video below (via Midjourney). LumaLabs - best for keyframe start & end control (it can not be overstated how important this is. other services should add it ASAP!) and their high dynamic action movements are really fun. Luma was used in my viral Multiverse of Memes video. PikaLabs - they haven’t gotten as much attention as others lately. But they did update their video model a few weeks ago and it looks great. Also, they are notable for their unique & AWESOME features, like video in-painting & out-painting. My perfect AI video platform would have the following features: 1) Gen3’s quality, prompt control & text embedding. 2) KLing’s image-to-video quality, prompt control & clip extension quality. 3) Luma’s multi-keyframe control & dynamic movement ability. 4) Pika’s inpainting & outpainting ability. And a video-to-video (aka next-gen Runway gen1) could be a game changer, too. It’s an exciting time to be alive 🫶 Who will get there first? 🔉🔉

I’ve used all the recent GenAI video models extensively & here’s my 2¢: 🎬 Runway Gen3 Alpha - best image quality & motion for text-to-video & embedded words. Great at prompt travel changes over the course of 10 sec. And I’m super bullish on how gen3 will evolve, hopefully adopting the features listed below. Kling - best quality for image-to-video with prompt control, like eating food. Great clip extension that accounts for character (ie walking stride) & camera movement (speed & angle), rather than just using final frame. But it’s limited availability & Chinese native language is limiting. Used for Spider-Man video below (via Midjourney). LumaLabs - best for keyframe start & end control (it can not be overstated how important this is. other services should add it ASAP!) and their high dynamic action movements are really fun. Luma was used in my viral Multiverse of Memes video. PikaLabs - they haven’t gotten as much attention as others lately. But they did update their video model a few weeks ago and it looks great. Also, they are notable for their unique & AWESOME features, like video in-painting & out-painting. My perfect AI video platform would have the following features: 1) Gen3’s quality, prompt control & text embedding. 2) KLing’s image-to-video quality, prompt control & clip extension quality. 3) Luma’s multi-keyframe control & dynamic movement ability. 4) Pika’s inpainting & outpainting ability. And a video-to-video (aka next-gen Runway gen1) could be a game changer, too. It’s an exciting time to be alive 🫶 Who will get there first? 🔉🔉

Blaine Brown

26,535 次观看 • 2 年前

This one was made with Seedance 2.0 Fast via Dreamina. This is pure Omni-Reference. The only character sheet I used was for these girls, Sari and Ploy. The dude with sarung here and the location were 100% prompted. I didn’t use a character sheet or reference for either of them. Even in Fast mode, Seedance 2.0 is bloody good and it still nails the hyper-vernacular vibe that I always aim for in my work. Seedance 2.0 is both exciting and scary for me 😆 It’s exciting because it is undoubtedly the best model currently available on the market. Trust me, you’ve seen the videos I’ve made so far right? The performance of the model It’s simply the best, period. It has helped me tremendously in creating a shit ton of stories about the region where I live, Southeast Asia. It has been the most exciting thing ever. The scary part is whenever a platform or company comes to me saying, “Hey, we have this new video model. Blah blah blah. We’ll let you know more soon.” It scares the shit out of me because the big question is whether it will be better than Seedance 2.0??? 😆😆 If not, I don’t even want to bother using it. I’ve come this far and achieved this level of quality with Seedance 2.0. That’s why I skipped Happy Horse, which I already tested. It’s also why I’m not bothering with Wan or anything else for now. Their current models are still far inferior to what we already get with Seedance 2.0. I don’t want to downgrade the visual quality. This is also why I need to be really honest. There are certain platforms that host their own in-house models and i'm still part of their CPP. However, because those models are still far behind the quality of Seedance 2.0, I haven’t used them that much. Seedance 2.0 has simply become the benchmark for me. The type of output I’m looking for is also extremely specific, so I can immediately feel it when a model cannot deliver what I need. Seedance 2.0 is definitely not cheap, but it gives me so much creative satisfaction and allows me to make whatever I want. I even have a team that low-key makes softcore erotic videos in the style of Vivamax 😆 I think I’ve trimmed down so many things in my AI workflow because my main goal is to focus on the content itself. If Seedance 2.0 Mini is released soon, I’m dead curious to test it. I think I want to create more stories that revolve around drama rather than highly technical cinematic shots. Seedance 2.0 Fast has been incredibly helpful, but I’m definitely curious to check out the Mini version. But the truth is that I’m completely tool-agnostic. I don’t care which company makes the model. I only care about the quality. You might remember when I praised Grok Imagine Video so damn hard because it was genuinely amazing back then. Then the quality kept getting worse and worse, so I stopped using it. But if it gets better again, I’ll definitely want to use it again. At the end of the day, quality is the only thing that matters.

This one was made with Seedance 2.0 Fast via Dreamina. This is pure Omni-Reference. The only character sheet I used was for these girls, Sari and Ploy. The dude with sarung here and the location were 100% prompted. I didn’t use a character sheet or reference for either of them. Even in Fast mode, Seedance 2.0 is bloody good and it still nails the hyper-vernacular vibe that I always aim for in my work. Seedance 2.0 is both exciting and scary for me 😆 It’s exciting because it is undoubtedly the best model currently available on the market. Trust me, you’ve seen the videos I’ve made so far right? The performance of the model It’s simply the best, period. It has helped me tremendously in creating a shit ton of stories about the region where I live, Southeast Asia. It has been the most exciting thing ever. The scary part is whenever a platform or company comes to me saying, “Hey, we have this new video model. Blah blah blah. We’ll let you know more soon.” It scares the shit out of me because the big question is whether it will be better than Seedance 2.0??? 😆😆 If not, I don’t even want to bother using it. I’ve come this far and achieved this level of quality with Seedance 2.0. That’s why I skipped Happy Horse, which I already tested. It’s also why I’m not bothering with Wan or anything else for now. Their current models are still far inferior to what we already get with Seedance 2.0. I don’t want to downgrade the visual quality. This is also why I need to be really honest. There are certain platforms that host their own in-house models and i'm still part of their CPP. However, because those models are still far behind the quality of Seedance 2.0, I haven’t used them that much. Seedance 2.0 has simply become the benchmark for me. The type of output I’m looking for is also extremely specific, so I can immediately feel it when a model cannot deliver what I need. Seedance 2.0 is definitely not cheap, but it gives me so much creative satisfaction and allows me to make whatever I want. I even have a team that low-key makes softcore erotic videos in the style of Vivamax 😆 I think I’ve trimmed down so many things in my AI workflow because my main goal is to focus on the content itself. If Seedance 2.0 Mini is released soon, I’m dead curious to test it. I think I want to create more stories that revolve around drama rather than highly technical cinematic shots. Seedance 2.0 Fast has been incredibly helpful, but I’m definitely curious to check out the Mini version. But the truth is that I’m completely tool-agnostic. I don’t care which company makes the model. I only care about the quality. You might remember when I praised Grok Imagine Video so damn hard because it was genuinely amazing back then. Then the quality kept getting worse and worse, so I stopped using it. But if it gets better again, I’ll definitely want to use it again. At the end of the day, quality is the only thing that matters.

MXVDXN // DAN

18,949 次观看 • 3 个月前

I'm building my game with GPT-6, and color correction has become one of my favorite uses for it. When I generate assets separately, I can like each one on its own and still end up with a scene where the colors don't belong together. A castle looks fine in isolation, then turns greenish against the terrain. Its swords and shields disappear into the background. Getting those things to match used to mean a lot of repainting and trying different textures. Now I've built a workflow where GPT-6 takes screenshots in Unity, inspects the object's color textures, and helps bring them closer to the look I want. I can give it the terrain or tree textures as color references. It can prepare masks, send the relevant textures through Image Edit, then put the result back into the game for another look. Editors such as GPT Image 2 Edit or Nano Banana Edit can be part of that workflow. This is also why I keep pushing for properly prepared 3D models. If the parts are separated logically, you get much more control later. We could work on the swords and shields without changing the whole castle. The stone could stay dark while the equipment became easier to read. The latest pass on my game covered the overall post effects and the skeleton castles. We matched the castles to the surrounding terrain, adjusted the equipment colors, and added a subtle moving highlight. The first stronger color pass went too far. I asked for the accents to move about 30% closer to gray, and that got them where I wanted: visible, without pulling all the attention. I'm so happy with the difference. The video shows the before and after across the map and on the castles. Being able to give feedback on the actual scene and keep refining it this way feels great.

I'm building my game with GPT-6, and color correction has become one of my favorite uses for it. When I generate assets separately, I can like each one on its own and still end up with a scene where the colors don't belong together. A castle looks fine in isolation, then turns greenish against the terrain. Its swords and shields disappear into the background. Getting those things to match used to mean a lot of repainting and trying different textures. Now I've built a workflow where GPT-6 takes screenshots in Unity, inspects the object's color textures, and helps bring them closer to the look I want. I can give it the terrain or tree textures as color references. It can prepare masks, send the relevant textures through Image Edit, then put the result back into the game for another look. Editors such as GPT Image 2 Edit or Nano Banana Edit can be part of that workflow. This is also why I keep pushing for properly prepared 3D models. If the parts are separated logically, you get much more control later. We could work on the swords and shields without changing the whole castle. The stone could stay dark while the equipment became easier to read. The latest pass on my game covered the overall post effects and the skeleton castles. We matched the castles to the surrounding terrain, adjusted the equipment colors, and added a subtle moving highlight. The first stronger color pass went too far. I asked for the accents to move about 30% closer to gray, and that got them where I wanted: visible, without pulling all the attention. I'm so happy with the difference. The video shows the before and after across the map and on the castles. Being able to give feedback on the actual scene and keep refining it this way feels great.

Stefan 3D AI

17,290 次观看 • 16 天前

Claude Code + Higgsfield MCP is f*cking cracked 🤯 I built an entire DTC ad campaign inside Claude Code using the new Higgsfield MCP. One product URL → hero static, animated hero shot, 2 UGC clips with a creator wearing the product. 5 assets. One Claude conversation. 3 Higgsfield models. All inside Claude Code. Perfect for DTC brands and agencies who need full campaign packages without booking a shoot or briefing a designer. If you're spending hours every week generating statics in one tool, briefing a motion designer for the hero clip, then chasing a UGC creator for the talking-head shots — this MCP eliminates the entire pipeline: → Drop a product URL into Claude Code → Claude pulls the brand brief — voice, hero SKUs, visual style, target customer → Generates the hero static with ChatGPT Images 2.0 → Animates it into a 5-second cinematic opener with Seedance 2.0 → Generates a UGC creator with GPT Image 2 → Drops her in the product and generates 2 native UGC video clips with Seedance 2.0 No tab-switching between tools. No copy-pasting prompts between platforms. No briefing 3 different vendors for one campaign. What you get: → A complete campaign package — static, animation, UGC — from one product URL → Brand-specific outputs that pull from a real brief, not generic AI slop → Claude making creative decisions between every step (which variation wins, which creator fits the persona, which clip needs a re-spin) → A repeatable pipeline you can run for any product in your catalog Built 100% in Claude Code with the Higgsfield MCP. I recorded a full walkthrough showing exactly how this works: the MCP setup, every prompt, every model, the full campaign output. Want the full video walkthrough? > Like this post > Comment "MCP" And I'll send it over (must be following so I can DM)

Mike Futia

29,800 次观看 • 5 个月前

Contact sheet prompting is the hottest AI video technique right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)

Contact sheet prompting is the hottest AI video technique right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)

Mike Futia

24,609 次观看 • 8 个月前

"Europe has already lost the AI race." I hear this bashing almost every single week on LinkedIn and X. Not so much when I talk to the teams who are actually working on it. They are trying to do something about it. Take Feyer. They are not building another generic wrapper application. Feyer is developing AI systems that autonomously design novel industrial hardware. Their neural explorers are coupled directly with differentiable physics simulations, allowing them to search enormous design spaces and discover hardware that humans might never come up with themselves. That could accelerate innovation across everything from lasers and quantum technology to microchip production. On September 9, Cyber Valley celebrates its 10th anniversary here in Tübingen. And I want to show and talk about companies like Feyer that are sitting here. They are a pretty good example of what can happen when world-class research turns into an ambitious company. They are building right here in Tübingen and just secured €3 million in the SPRIND, Federal Agency for Breakthrough Innovation - Bundesagentur für Sprunginnovationen Next Frontier AI Challenge. I spent some time on a call with their CTO Sören Arlt last week, and the level of technical ambition there is exactly what this ecosystem needs right now. And Feyer is part of a much bigger bet. SPRIND, Federal Agency for Breakthrough Innovation is deploying €125 million over 24 months to build three internationally competitive European frontier AI labs. Ten teams start with up to €3 million each, six can advance with another €8 million, and the final three can receive another €15.5 million each. Up to €26.5 million per winning team. And this is not a research thesis invented for a startup pitch. The work builds on years of research by Sören Arlt, Mario Krenn and their collaborators into machine-driven scientific discovery. I am going to share a lot more about what Sören Arlt, Jonathan Klimesch, Mario Krenn and the rest of the Feyer team are building very soon. If you want to see what European frontier AI can actually look like, keep an eye on them. Follow for more insights into AI and robotics. {Quick animation by me for now. We’ll have much better visuals to share over the next few weeks ;)}

"Europe has already lost the AI race." I hear this bashing almost every single week on LinkedIn and X. Not so much when I talk to the teams who are actually working on it. They are trying to do something about it. Take Feyer. They are not building another generic wrapper application. Feyer is developing AI systems that autonomously design novel industrial hardware. Their neural explorers are coupled directly with differentiable physics simulations, allowing them to search enormous design spaces and discover hardware that humans might never come up with themselves. That could accelerate innovation across everything from lasers and quantum technology to microchip production. On September 9, Cyber Valley celebrates its 10th anniversary here in Tübingen. And I want to show and talk about companies like Feyer that are sitting here. They are a pretty good example of what can happen when world-class research turns into an ambitious company. They are building right here in Tübingen and just secured €3 million in the SPRIND, Federal Agency for Breakthrough Innovation - Bundesagentur für Sprunginnovationen Next Frontier AI Challenge. I spent some time on a call with their CTO Sören Arlt last week, and the level of technical ambition there is exactly what this ecosystem needs right now. And Feyer is part of a much bigger bet. SPRIND, Federal Agency for Breakthrough Innovation is deploying €125 million over 24 months to build three internationally competitive European frontier AI labs. Ten teams start with up to €3 million each, six can advance with another €8 million, and the final three can receive another €15.5 million each. Up to €26.5 million per winning team. And this is not a research thesis invented for a startup pitch. The work builds on years of research by Sören Arlt, Mario Krenn and their collaborators into machine-driven scientific discovery. I am going to share a lot more about what Sören Arlt, Jonathan Klimesch, Mario Krenn and the rest of the Feyer team are building very soon. If you want to see what European frontier AI can actually look like, keep an eye on them. Follow for more insights into AI and robotics. {Quick animation by me for now. We’ll have much better visuals to share over the next few weeks ;)}

Ilir Aliu

10,745 次观看 • 1 个月前

How far would you go for a kiss you'll never forget? Nano Banana Pro + Seedance 2.0 on BudgetPixel AI prompt Cinematic 6-second drone shot at dusk. A young couple @[Image 1](image_1) passionately kissing while sitting on the edge of the giant white Hollywood sign. Start in a tight medium shot focused on their kiss: a woman with wavy blonde hair in a low bun wearing a babypink sleeveless high-neck top, black leggings and chunky black platform boots, and a muscular man with short hair, small hoop earring, white ribbed tank top and black trousers. They are sitting side by side on the narrow ledge of the letter, legs dangling, leaning into a deep kiss. The man holds a small black object in his hands. The camera performs a slow, smooth, continuous pull-back and slight ascending crane movement. As it moves, the massive scale of the iconic white Hollywood sign is gradually revealed beneath them. The shot ends in a wide establishing view showing the full "HOLLYWOOD" sign letters against dry golden-brown California hills, a dramatic cloudy dusk sky with warm orange-pink sunset glow on the horizon, and a tall communication tower visible in the distance. The couple remains visible as small figures still kissing on the first letter. Natural cinematic lighting, soft dusk atmosphere, high detail, realistic live-action, filmic color grading with slightly desaturated tones, strong contrast between the bright white sign and the moody landscape. Romantic, bold, epic yet intimate mood. Smooth camera movement, no cuts.

How far would you go for a kiss you'll never forget? Nano Banana Pro + Seedance 2.0 on BudgetPixel AI prompt Cinematic 6-second drone shot at dusk. A young couple @[Image 1](image_1) passionately kissing while sitting on the edge of the giant white Hollywood sign. Start in a tight medium shot focused on their kiss: a woman with wavy blonde hair in a low bun wearing a babypink sleeveless high-neck top, black leggings and chunky black platform boots, and a muscular man with short hair, small hoop earring, white ribbed tank top and black trousers. They are sitting side by side on the narrow ledge of the letter, legs dangling, leaning into a deep kiss. The man holds a small black object in his hands. The camera performs a slow, smooth, continuous pull-back and slight ascending crane movement. As it moves, the massive scale of the iconic white Hollywood sign is gradually revealed beneath them. The shot ends in a wide establishing view showing the full "HOLLYWOOD" sign letters against dry golden-brown California hills, a dramatic cloudy dusk sky with warm orange-pink sunset glow on the horizon, and a tall communication tower visible in the distance. The couple remains visible as small figures still kissing on the first letter. Natural cinematic lighting, soft dusk atmosphere, high detail, realistic live-action, filmic color grading with slightly desaturated tones, strong contrast between the bright white sign and the moody landscape. Romantic, bold, epic yet intimate mood. Smooth camera movement, no cuts.

Sharon Riley

34,983 次观看 • 2 个月前

So, by now I'm sure you saw the AI fanart recreation of the Princess Mononoke trailer. It got a LOT of feedback, mostly from people telling the creator what a terrible thing he did and how AI assisted workflows can never be used for anything good or meaningful and most of all that it can never be used for art. That's such nonsense. Of course it can. If it's wielded by artists and great storytellers, great things will come of it. If you hand a violin to someone on the street they'll be able to make it make sounds.. if you hand it to a talented musician it becomes a conveyer of thoughts, emotion and art. Here's a small scene from Mononoke that I did an AI take on.. it's far from perfect and to animate this properly would require much more work. The AI workflows we have today are lacking so many control elements. But to think those things won't come.. come on. Of course they will. But most importantly, in a way where they don't overtake the art completely, but instead acts like an "amplifier" of the artists using the tools. This technology will be in most of our creative tools in the very near future with full controllability. Oh and I never liked the idea of turning old disney classics into live-action films, or doing the same with the beautiful work of Studio Ghibli. But for the purpose of this post I hope you'll forgive me ;-) #art #animation

So, by now I'm sure you saw the AI fanart recreation of the Princess Mononoke trailer. It got a LOT of feedback, mostly from people telling the creator what a terrible thing he did and how AI assisted workflows can never be used for anything good or meaningful and most of all that it can never be used for art. That's such nonsense. Of course it can. If it's wielded by artists and great storytellers, great things will come of it. If you hand a violin to someone on the street they'll be able to make it make sounds.. if you hand it to a talented musician it becomes a conveyer of thoughts, emotion and art. Here's a small scene from Mononoke that I did an AI take on.. it's far from perfect and to animate this properly would require much more work. The AI workflows we have today are lacking so many control elements. But to think those things won't come.. come on. Of course they will. But most importantly, in a way where they don't overtake the art completely, but instead acts like an "amplifier" of the artists using the tools. This technology will be in most of our creative tools in the very near future with full controllability. Oh and I never liked the idea of turning old disney classics into live-action films, or doing the same with the beautiful work of Studio Ghibli. But for the purpose of this post I hope you'll forgive me ;-) #art #animation

Martin Nebelong

18,377 次观看 • 2 年前

Google dropped a new AI paper called LUMIERE. It's remarkably flexible, supporting video inpainting, image-to-video, AND stylized video generation tasks. Say hello to “space-time diffusion” for video generation! Now what the heck does that mean exactly?! 🌐⏳ → TL;DR it utilizes a “Space-Time UNet” architecture that generates the full duration of the video in one pass, rather than generating distant keyframes and interpolating between them like prior works. Because the computation is done in this “compressed space-time representation” to generate the full clip at once, it's far more temporally consistent. → Another benefit of generating the full video at once is that you can “direct” the video generation, making it easier to hand off to other models/tasks without having to stitch together partial solutions. You can condition generations on additional inputs, meaning you get the full stack of AI video capabilities – from video inpainting to image-to-video and beyond. → New SOTA for AI video generation? User study results in the paper suggest human evaluators preferred Lumiere over Runway Gen-2, Pika Labs, and Stable Video Diffusion in terms of quality, text alignment AND motion. But as always, we need to get hands-on with this tech when Google *actually* decides to ship it. → Could this end up inside YouTube? Y’all know i’m obsessed with blending reality and imagination – so it’s the video inpainting tech I'm most excited about. I really hope this model finds its way into YouTube's Generative AI efforts, and based on their prior announcements and the list of acknowledgments in the paper I think it might! 🤞🏽 Links: 🔗Paper: 🔗Project:

Google dropped a new AI paper called LUMIERE. It's remarkably flexible, supporting video inpainting, image-to-video, AND stylized video generation tasks. Say hello to “space-time diffusion” for video generation! Now what the heck does that mean exactly?! 🌐⏳ → TL;DR it utilizes a “Space-Time UNet” architecture that generates the full duration of the video in one pass, rather than generating distant keyframes and interpolating between them like prior works. Because the computation is done in this “compressed space-time representation” to generate the full clip at once, it's far more temporally consistent. → Another benefit of generating the full video at once is that you can “direct” the video generation, making it easier to hand off to other models/tasks without having to stitch together partial solutions. You can condition generations on additional inputs, meaning you get the full stack of AI video capabilities – from video inpainting to image-to-video and beyond. → New SOTA for AI video generation? User study results in the paper suggest human evaluators preferred Lumiere over Runway Gen-2, Pika Labs, and Stable Video Diffusion in terms of quality, text alignment AND motion. But as always, we need to get hands-on with this tech when Google actually decides to ship it. → Could this end up inside YouTube? Y’all know i’m obsessed with blending reality and imagination – so it’s the video inpainting tech I'm most excited about. I really hope this model finds its way into YouTube's Generative AI efforts, and based on their prior announcements and the list of acknowledgments in the paper I think it might! 🤞🏽 Links: 🔗Paper: 🔗Project:

Bilawal Sidhu

44,822 次观看 • 2 年前

I honestly hate having to make tweets like this, but the pure hypocrisy in this fandom has crossed every line! Major BTS fanbases stay dead silent without dropping a single statement, while this disgusting behavior from Jiminas is being completely romanticized all over the timeline This lack of respect is absolutely UNACCEPTABLE. Since when is seeing healthy, happy guys, interacting with each other on stage and trying to give their absolute best to the fans considered a problem? You guys are literally romanticizing mass hate trains against Taehyung, Seokjin, and Jungkook just because they’re actually enjoying the tour and having fun? Are you really that miserable? Apparently, for these Jiminas, a concert is only "good" when the members are collapsing from exhaustion on stage and needing oxygen masks from overexertion. Is THAT what you pray to see? Stop romanticizing this harassment and bitter behavior. What’s happening on stage is a group of healthy, happy guys enjoying their time with fans and each other. THAT is what’s making this tour so iconic and going viral for all the right reasons. If seeing them happy pisses you off this much, you're the problem. Get help and stop being so toxic

I honestly hate having to make tweets like this, but the pure hypocrisy in this fandom has crossed every line! Major BTS fanbases stay dead silent without dropping a single statement, while this disgusting behavior from Jiminas is being completely romanticized all over the timeline This lack of respect is absolutely UNACCEPTABLE. Since when is seeing healthy, happy guys, interacting with each other on stage and trying to give their absolute best to the fans considered a problem? You guys are literally romanticizing mass hate trains against Taehyung, Seokjin, and Jungkook just because they’re actually enjoying the tour and having fun? Are you really that miserable? Apparently, for these Jiminas, a concert is only "good" when the members are collapsing from exhaustion on stage and needing oxygen masks from overexertion. Is THAT what you pray to see? Stop romanticizing this harassment and bitter behavior. What’s happening on stage is a group of healthy, happy guys enjoying their time with fans and each other. THAT is what’s making this tour so iconic and going viral for all the right reasons. If seeing them happy pisses you off this much, you're the problem. Get help and stop being so toxic

αdrαsteiα

122,719 次观看 • 1 个月前

I got fired from my job, because I was caught using my phone at work So I decided to lock myself in for 3 months and made over $2,000,000+ from prediction markets & perps using Claude AI My system scans Polymarket events, perps prices on different platforms, mispriced probabilities to send me a message when to enter The thing is, I have no idea where crypto prices are going to be in the future and I don't need to. I just wait for YES and NO prices buy the cheap side and hedge with others I close when the spread normalizes → basically arbitrage trading with an algorithm watching a lot markets at once As a result, I traded more than $100,000,000+ volume an amount unreal to me months ago If you are still not using AI tools in 2026, your sleeping. BILLION dollar businesses will be cooking entirely run by a single person and AI agents So I decided to close my community now and will no longer accept new members. It takes too much time managing a lot members, I want hungry people! Anyway thanking everyone who was with me and printing together❤️❤️

I got fired from my job, because I was caught using my phone at work So I decided to lock myself in for 3 months and made over $2,000,000+ from prediction markets & perps using Claude AI My system scans Polymarket events, perps prices on different platforms, mispriced probabilities to send me a message when to enter The thing is, I have no idea where crypto prices are going to be in the future and I don't need to. I just wait for YES and NO prices buy the cheap side and hedge with others I close when the spread normalizes → basically arbitrage trading with an algorithm watching a lot markets at once As a result, I traded more than $100,000,000+ volume an amount unreal to me months ago If you are still not using AI tools in 2026, your sleeping. BILLION dollar businesses will be cooking entirely run by a single person and AI agents So I decided to close my community now and will no longer accept new members. It takes too much time managing a lot members, I want hungry people! Anyway thanking everyone who was with me and printing together❤️❤️

Brain Master

27,002 次观看 • 4 个月前