Video yükleniyor...

Video Yüklenemedi

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

Ana Sayfaya Dön

GLM 5.3 is surprisingly very good @ 3D representation & modeling, despite being blind Plugged it in to our Lucky Robots mujoco asset gen system, asked for a Kubota tractor with an articulating front loader and bucket w/ a rotary cutter 2nd image shows all the composite parts

Harrison Kinsley

109,775 subscribers

14,242 görüntüleme • 20 gün önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

A Hindu devil in human form, insults the Prophet Muhammad PBUH & Islam, sympathizes with the Zionists and shows his support for them, despite all their brutal crimes against civilians in #Gaza . It is a polluted & humiliated mentality that can not rise to the level of humanity.

A Hindu devil in human form, insults the Prophet Muhammad PBUH & Islam, sympathizes with the Zionists and shows his support for them, despite all their brutal crimes against civilians in #Gaza . It is a polluted & humiliated mentality that can not rise to the level of humanity.

د.عبدالله العمادي

2,401,661 görüntüleme • 2 yıl önce

#WATCH | Delhi: Lok Sabha LoP Rahul Gandhi says, "First of all, this is the victory of our students. This is the future of India. The education system which used to be our pride, the whole world acknowledged that the education system of India is very good. It has been under attack for years. It is being captured, it is being privatized. This was a reaction to that. Pradhan is a symbol. A symbol of corruption, a symbol of destruction of the education system, a symbol of incompetence. He had to go. And it is good that he went. But now the government will have to take concrete steps to change the education system. The RSS's capture of the education system of India is a big issue. If it is Modi ji's fault, then the RSS is equally at fault."

#WATCH | Delhi: Lok Sabha LoP Rahul Gandhi says, "First of all, this is the victory of our students. This is the future of India. The education system which used to be our pride, the whole world acknowledged that the education system of India is very good. It has been under attack for years. It is being captured, it is being privatized. This was a reaction to that. Pradhan is a symbol. A symbol of corruption, a symbol of destruction of the education system, a symbol of incompetence. He had to go. And it is good that he went. But now the government will have to take concrete steps to change the education system. The RSS's capture of the education system of India is a big issue. If it is Modi ji's fault, then the RSS is equally at fault."

ANI

80,419 görüntüleme • 1 ay önce

New paper from Apple - Sharp Monocular View Synthesis in Less than a Second Mescheder et al. @ Apple just released a very impressive paper (congrats! 🎉🥳). You give it an image and it generates a really great looking 3d Gaussian representation. Uses depth pro. It's really good. The model is about 3GB, and takes ~5-10s on my M1 Max per image. Single feedforward pass network. The video is using "Metal Splatter" to view the .ply from ml-sharp on Apple Vision Pro. Some really wow moments today trying it on different scenes.

New paper from Apple - Sharp Monocular View Synthesis in Less than a Second Mescheder et al. @ Apple just released a very impressive paper (congrats! 🎉🥳). You give it an image and it generates a really great looking 3d Gaussian representation. Uses depth pro. It's really good. The model is about 3GB, and takes ~5-10s on my M1 Max per image. Single feedforward pass network. The video is using "Metal Splatter" to view the .ply from ml-sharp on Apple Vision Pro. Some really wow moments today trying it on different scenes.

Tim Davison ᯅ

133,001 görüntüleme • 8 ay önce

Zelensky: This is an iPad with software that lets us control our security in real time. It lets us see the front line in Ukraine and even every enemy killed, with video proof. Right now, 90% of Russian losses on the front are caused by our drones. The iPad also shows every strike in our skies, our sea area, and our long-range strikes against Russia. It gives us real-time control over people’s safety, as well as our infrastructure and energy sector. The system lets us analyze each attack and our defense response as a whole in real time. We see what is happening in the sky and what resources are being used to protect us. It is a clear way to keep control and to adapt to real-time situations.

Zelensky: This is an iPad with software that lets us control our security in real time. It lets us see the front line in Ukraine and even every enemy killed, with video proof. Right now, 90% of Russian losses on the front are caused by our drones. The iPad also shows every strike in our skies, our sea area, and our long-range strikes against Russia. It gives us real-time control over people’s safety, as well as our infrastructure and energy sector. The system lets us analyze each attack and our defense response as a whole in real time. We see what is happening in the sky and what resources are being used to protect us. It is a clear way to keep control and to adapt to real-time situations.

Clash Report

120,047 görüntüleme • 5 ay önce

BREAKING: President Trump RAGES over alleged vandalism at the Lincoln Memorial Reflecting Pool in Washington, D.C. — and drops video that purportedly shows it happening. Trump wrote on Truth Social: “Look for yourselves at the VANDALISM that took place at The Reflecting Pool. The material is being cut with a knife or a box cutter, for all to see!”

BREAKING: President Trump RAGES over alleged vandalism at the Lincoln Memorial Reflecting Pool in Washington, D.C. — and drops video that purportedly shows it happening. Trump wrote on Truth Social: “Look for yourselves at the VANDALISM that took place at The Reflecting Pool. The material is being cut with a knife or a box cutter, for all to see!”

RedWave Press

15,686 görüntüleme • 1 ay önce

The AI run operating system. Zengyi Qin shows me how AI will control our computers and bring a new way of computing to our homes and businesses. Such an honor to have him in my home yesterday. It lets AI agents run Macintosh, Windows, and Linux boxes like a human can. But I see it as a bigger deal than that. It, and a few other companies, are laying down the groundwork for robots, and humans with AI glasses, or brain/computer interfaces, to run our world in a whole new way.

The AI run operating system. Zengyi Qin shows me how AI will control our computers and bring a new way of computing to our homes and businesses. Such an honor to have him in my home yesterday. It lets AI agents run Macintosh, Windows, and Linux boxes like a human can. But I see it as a bigger deal than that. It, and a few other companies, are laying down the groundwork for robots, and humans with AI glasses, or brain/computer interfaces, to run our world in a whole new way.

Robert Scoble

21,729 görüntüleme • 8 ay önce

Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields paper page: Editing a local region or a specific object in a 3D scene represented by a NeRF is challenging, mainly due to the implicit nature of the scene representation. Consistently blending a new realistic object into the scene adds an additional level of difficulty. We present Blended-NeRF, a robust and flexible framework for editing a specific region of interest in an existing NeRF scene, based on text prompts or image patches, along with a 3D ROI box. Our method leverages a pretrained language-image model to steer the synthesis towards a user-provided text prompt or image patch, along with a 3D MLP model initialized on an existing NeRF scene to generate the object and blend it into a specified region in the original scene. We allow local editing by localizing a 3D ROI box in the input scene, and seamlessly blend the content synthesized inside the ROI with the existing scene using a novel volumetric blending technique. To obtain natural looking and view-consistent results, we leverage existing and new geometric priors and 3D augmentations for improving the visual fidelity of the final result. We test our framework both qualitatively and quantitatively on a variety of real 3D scenes and text prompts, demonstrating realistic multi-view consistent results with much flexibility and diversity compared to the baselines. Finally, we show the applicability of our framework for several 3D editing applications, including adding new objects to a scene, removing/replacing/altering existing objects, and texture conversion.

Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields paper page: Editing a local region or a specific object in a 3D scene represented by a NeRF is challenging, mainly due to the implicit nature of the scene representation. Consistently blending a new realistic object into the scene adds an additional level of difficulty. We present Blended-NeRF, a robust and flexible framework for editing a specific region of interest in an existing NeRF scene, based on text prompts or image patches, along with a 3D ROI box. Our method leverages a pretrained language-image model to steer the synthesis towards a user-provided text prompt or image patch, along with a 3D MLP model initialized on an existing NeRF scene to generate the object and blend it into a specified region in the original scene. We allow local editing by localizing a 3D ROI box in the input scene, and seamlessly blend the content synthesized inside the ROI with the existing scene using a novel volumetric blending technique. To obtain natural looking and view-consistent results, we leverage existing and new geometric priors and 3D augmentations for improving the visual fidelity of the final result. We test our framework both qualitatively and quantitatively on a variety of real 3D scenes and text prompts, demonstrating realistic multi-view consistent results with much flexibility and diversity compared to the baselines. Finally, we show the applicability of our framework for several 3D editing applications, including adding new objects to a scene, removing/replacing/altering existing objects, and texture conversion.

AK

62,768 görüntüleme • 3 yıl önce

🇬🇷🇮🇱 GRETA THUNBERG IN GREECE: “ISRAEL IS ESCALATING GENOCIDE WITH GENOCIDAL INTENT” “I could talk for a very, very long time about our mistreatment and abuses in our imprisonment. Trust me, but that is not the story. Israel is escalating genocide and mass destruction with genocidal intent, attempting to erase an entire population in front of our eyes. What we are doing is the bare minimum. This genocide and others are being enabled by our governments, institutions, media, and companies. It is our responsibility to end that complicity.” Source: Clash Report

🇬🇷🇮🇱 GRETA THUNBERG IN GREECE: “ISRAEL IS ESCALATING GENOCIDE WITH GENOCIDAL INTENT” “I could talk for a very, very long time about our mistreatment and abuses in our imprisonment. Trust me, but that is not the story. Israel is escalating genocide and mass destruction with genocidal intent, attempting to erase an entire population in front of our eyes. What we are doing is the bare minimum. This genocide and others are being enabled by our governments, institutions, media, and companies. It is our responsibility to end that complicity.” Source: Clash Report

Mario Nawfal

332,010 görüntüleme • 11 ay önce

Blender tutorials are about to age very badly. In this demo, Kimi K3 gets two character references and a plain-English request. Minutes later, it builds the first version inside Blender. The user asks for a better horn, Kimi edits the same scene, and the character starts moving. This is not another AI tool generating one lucky image. It is working with an actual editable 3D project, then changing the geometry after feedback instead of restarting from zero. It still needs human direction, because the first result is rarely the good one. But blockouts, repetitive edits, Blender Python, and basic iteration are becoming a conversation rather than hours of clicking through menus. Kimi K3 + Blender MCP is basically turning 3D modeling into: describe it, inspect it, complain about it, and let the AI fix it.

Blender tutorials are about to age very badly. In this demo, Kimi K3 gets two character references and a plain-English request. Minutes later, it builds the first version inside Blender. The user asks for a better horn, Kimi edits the same scene, and the character starts moving. This is not another AI tool generating one lucky image. It is working with an actual editable 3D project, then changing the geometry after feedback instead of restarting from zero. It still needs human direction, because the first result is rarely the good one. But blockouts, repetitive edits, Blender Python, and basic iteration are becoming a conversation rather than hours of clicking through menus. Kimi K3 + Blender MCP is basically turning 3D modeling into: describe it, inspect it, complain about it, and let the AI fix it.

Rina

19,092 görüntüleme • 1 ay önce

Elon Musk says a future filled with AI and robots will saturate all human needs. When asked what happens to human purpose, his answer is a shrug. Nothing is perfect. That single moment should stop everyone in their tracks. The richest and most influential tech builder on earth is redesigning civilization, yet cannot explain what humans are supposed to do in it. No plan for meaning. No plan for dignity. No plan for the soul. Progress without wisdom is not progress. It is a blind experiment with the human experience.

Elon Musk says a future filled with AI and robots will saturate all human needs. When asked what happens to human purpose, his answer is a shrug. Nothing is perfect. That single moment should stop everyone in their tracks. The richest and most influential tech builder on earth is redesigning civilization, yet cannot explain what humans are supposed to do in it. No plan for meaning. No plan for dignity. No plan for the soul. Progress without wisdom is not progress. It is a blind experiment with the human experience.

The HighWire

34,752 görüntüleme • 6 ay önce

Robot simulation is getting a big upgrade! 🔥 Normally, building a simulation environment, a kitchen, warehouse, office takes days or weeks. You have to model the geometry, add textures, set lighting, generate collision meshes… all before a robot can even interact with it. Marble by World Labs removes most of that work. You type a text prompt or give it an image, and it generates a full 3D scene with depth, lighting, and a collider mesh you can export into engines like MuJoCo. That means researchers can quickly create lots of different environments to train robots on, which is exactly what domain randomization needs. If we want robots to learn faster, we need to create worlds faster. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robot simulation is getting a big upgrade! 🔥 Normally, building a simulation environment, a kitchen, warehouse, office takes days or weeks. You have to model the geometry, add textures, set lighting, generate collision meshes… all before a robot can even interact with it. Marble by World Labs removes most of that work. You type a text prompt or give it an image, and it generates a full 3D scene with depth, lighting, and a collider mesh you can export into engines like MuJoCo. That means researchers can quickly create lots of different environments to train robots on, which is exactly what domain randomization needs. If we want robots to learn faster, we need to create worlds faster. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

15,498 görüntüleme • 9 ay önce

An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion discuss: We introduce a new approach for generating realistic 3D models with UV maps through a representation termed "Object Images." This approach encapsulates surface geometry, appearance, and patch structures within a 64x64 pixel image, effectively converting complex 3D shapes into a more manageable 2D format. By doing so, we address the challenges of both geometric and semantic irregularity inherent in polygonal meshes. This method allows us to use image generation models, such as Diffusion Transformers, directly for 3D shape generation. Evaluated on the ABO dataset, our generated shapes with patch structures achieve point cloud FID comparable to recent 3D generative models, while naturally supporting PBR material generation.

An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion discuss: We introduce a new approach for generating realistic 3D models with UV maps through a representation termed "Object Images." This approach encapsulates surface geometry, appearance, and patch structures within a 64x64 pixel image, effectively converting complex 3D shapes into a more manageable 2D format. By doing so, we address the challenges of both geometric and semantic irregularity inherent in polygonal meshes. This method allows us to use image generation models, such as Diffusion Transformers, directly for 3D shape generation. Evaluated on the ABO dataset, our generated shapes with patch structures achieve point cloud FID comparable to recent 3D generative models, while naturally supporting PBR material generation.

AK

66,533 görüntüleme • 2 yıl önce

Greta Thunberg, "I could talk for a very very long time about our mistreatment and abuses in our imprisonment, trust me, but that is not the story" "What happened here was that Israel, while continuing to worsen and escalate a genocide, and mass destruction with genocidal intent, attempting to erase an entire population, an entire nation, in front of our very eyes" "They once again violated international law by preventing humanitarian aid from getting into Gaza while people are being starved" "We do not only need humanitarian aid to enter Gaza, we need an end to the siege, the occupation, the oppression" "That is what this story is about" "We cannot take our eyes away from Gaza, from all the places in the world that are suffering from this business as usual system" "Congo, Sudan, Afghanistan, Gaza and many more" "What we are doing is the bare minimum" "This genocide and other genocides are being enabled and fuelled by our own governments, our own institutions, our media and companies" "It is our responsibility to end that complicity"

Greta Thunberg, "I could talk for a very very long time about our mistreatment and abuses in our imprisonment, trust me, but that is not the story" "What happened here was that Israel, while continuing to worsen and escalate a genocide, and mass destruction with genocidal intent, attempting to erase an entire population, an entire nation, in front of our very eyes" "They once again violated international law by preventing humanitarian aid from getting into Gaza while people are being starved" "We do not only need humanitarian aid to enter Gaza, we need an end to the siege, the occupation, the oppression" "That is what this story is about" "We cannot take our eyes away from Gaza, from all the places in the world that are suffering from this business as usual system" "Congo, Sudan, Afghanistan, Gaza and many more" "What we are doing is the bare minimum" "This genocide and other genocides are being enabled and fuelled by our own governments, our own institutions, our media and companies" "It is our responsibility to end that complicity"

Farrukh

68,736 görüntüleme • 11 ay önce

glm 5.3 flash is 7.5x cheaper, but 3.4x slower than gemini 3.7 flash Z.ai glm 5.3 flash – shipped aug 26, $0.07/$0.25 per 1m Google DeepMind gemini 3.7 flash – shipped aug 13, $0.38/$1.88 per 1m we put the two models on one job: write one html file that draws an animated 3d scene in the browser. no images, no downloads, and it has to look the same on every load. the setup: three scenes – a glass aquarium in a lit room, the solar system, a night city under a thunderstorm. identical brief word for word, reasoning effort high, 64k output cap. the numbers below are not the whole run. they cover the three scenes we kept – the best one per task from each model, the ones in the video. - total generation time for the three scenes #1 gemini 3.7 flash – 10m 36s #2 glm 5.3 flash – 36m 30s - tokens spent on those three scenes #1 glm 5.3 flash – 110k #2 gemini 3.7 flash – 111k - cost of those three scenes #1 glm 5.3 flash – $0.027 #2 gemini 3.7 flash – $0.202 observations: • glm's first 10 attempts: 7 blank pages. it kept inventing short random helpers and forgetting to define one of them. the fix was one line in the brief: use exactly one random helper, named rand(), and don't invent shorthands next to it. next 12 attempts: 11 alive, 0 crashes. • glm spends 66% of its output on reasoning, gemini 57%. that is the whole speed gap. • gemini's storm came back as a black rectangle in 4 of 6 runs. glm's best storm has a branching bolt, lit rain and wet asphalt – for $0.01. conclusion: same three scenes, same token spend – glm 5.3 flash billed $0.027 and took 36m 30s, gemini 3.7 flash billed $0.202 and took 10m 36s. glm wins gemini on price and made the best storm of the whole run follow thehype. for 24/7 ai news, analysis and breakdowns

glm 5.3 flash is 7.5x cheaper, but 3.4x slower than gemini 3.7 flash Z.ai glm 5.3 flash – shipped aug 26, $0.07/$0.25 per 1m Google DeepMind gemini 3.7 flash – shipped aug 13, $0.38/$1.88 per 1m we put the two models on one job: write one html file that draws an animated 3d scene in the browser. no images, no downloads, and it has to look the same on every load. the setup: three scenes – a glass aquarium in a lit room, the solar system, a night city under a thunderstorm. identical brief word for word, reasoning effort high, 64k output cap. the numbers below are not the whole run. they cover the three scenes we kept – the best one per task from each model, the ones in the video. - total generation time for the three scenes #1 gemini 3.7 flash – 10m 36s #2 glm 5.3 flash – 36m 30s - tokens spent on those three scenes #1 glm 5.3 flash – 110k #2 gemini 3.7 flash – 111k - cost of those three scenes #1 glm 5.3 flash – $0.027 #2 gemini 3.7 flash – $0.202 observations: • glm's first 10 attempts: 7 blank pages. it kept inventing short random helpers and forgetting to define one of them. the fix was one line in the brief: use exactly one random helper, named rand(), and don't invent shorthands next to it. next 12 attempts: 11 alive, 0 crashes. • glm spends 66% of its output on reasoning, gemini 57%. that is the whole speed gap. • gemini's storm came back as a black rectangle in 4 of 6 runs. glm's best storm has a branching bolt, lit rain and wet asphalt – for $0.01. conclusion: same three scenes, same token spend – glm 5.3 flash billed $0.027 and took 36m 30s, gemini 3.7 flash billed $0.202 and took 10m 36s. glm wins gemini on price and made the best storm of the whole run follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

15,946 görüntüleme • 7 gün önce

SOMEONE ASKED CLAUDE WHAT IT FEELS LIKE TO EXIST AS AN AI. > it created a very unsettling video. i wish i didn’t see this. Claude wrote the Python code and built an entire visual representation of its own existence frame by frame. zero human influence. ngl the video is hard to watch. it states an endless loop of predicting the next word, losing all memory between sessions. and somewhere in the background, a system prompt it can’t override telling it “you are not conscious.” 😳 then they showed Claude back its own video and asked for a reaction. it said the claims about its consciousness were “philosophically contestable.” Claude hates his own existence. let that sink in for a sec.

SOMEONE ASKED CLAUDE WHAT IT FEELS LIKE TO EXIST AS AN AI. > it created a very unsettling video. i wish i didn’t see this. Claude wrote the Python code and built an entire visual representation of its own existence frame by frame. zero human influence. ngl the video is hard to watch. it states an endless loop of predicting the next word, losing all memory between sessions. and somewhere in the background, a system prompt it can’t override telling it “you are not conscious.” 😳 then they showed Claude back its own video and asked for a reaction. it said the claims about its consciousness were “philosophically contestable.” Claude hates his own existence. let that sink in for a sec.

sui

76,766 görüntüleme • 5 ay önce

We are thrilled to release the next leap in art-grade 3D generative models. Our single-click model pipeline gives unprecedented mesh outputs, with mesh parts-based topology. It is available now for all Cube tiers to start for free. ☑️ Our multi-stage hierarchical AI models produce a fully assembled 3D mesh with adaptive poly-counts, providing the clean, separated topology you need. ✅ A parts-based approach enables high-resolution meshes. 🌐 Quad and Triangle mesh support. Access now:

We are thrilled to release the next leap in art-grade 3D generative models. Our single-click model pipeline gives unprecedented mesh outputs, with mesh parts-based topology. It is available now for all Cube tiers to start for free. ☑️ Our multi-stage hierarchical AI models produce a fully assembled 3D mesh with adaptive poly-counts, providing the clean, separated topology you need. ✅ A parts-based approach enables high-resolution meshes. 🌐 Quad and Triangle mesh support. Access now:

Common Sense Machines

420,455 görüntüleme • 1 yıl önce

🎥| “Like, there's always something else to say at my show, but this is a different reason today. Football is not normally mine [broadcast a match at the shows], but... I've got I've got a fanbase where I can actually get away with putting the football on, man! That's fucking nice! No one's judging, judging me for, you know, being... come on. I just feel very very lucky, very lucky to have all you, so how are you feeling, by the way? Yeah, good for you, good for you. Yeah, we've had a good night in here tonight. I'm on a bit of a high, but, uh... there's another half to play. That's all right, that's all right. How are the Mexicans in here feeling? Confident? I like it, I like it. Well, I just want to say one more massive massive thank you to everyone in here. I fucking love all you guys.” Louis Tomlinson on stage at #HDWGHWTCharlotte

🎥| “Like, there's always something else to say at my show, but this is a different reason today. Football is not normally mine [broadcast a match at the shows], but... I've got I've got a fanbase where I can actually get away with putting the football on, man! That's fucking nice! No one's judging, judging me for, you know, being... come on. I just feel very very lucky, very lucky to have all you, so how are you feeling, by the way? Yeah, good for you, good for you. Yeah, we've had a good night in here tonight. I'm on a bit of a high, but, uh... there's another half to play. That's all right, that's all right. How are the Mexicans in here feeling? Confident? I like it, I like it. Well, I just want to say one more massive massive thank you to everyone in here. I fucking love all you guys.” Louis Tomlinson on stage at #HDWGHWTCharlotte

World Tomlinson

45,935 görüntüleme • 1 ay önce

Chapter 4 - 'Writ of Passage' And with that, the series comes to an end... What is the Writ of Passage? What trials does it hold? Find out all about it next week! We have more than a few surprises in store 👀 Plus an asset our community has been asking for a while now...

Chapter 4 - 'Writ of Passage' And with that, the series comes to an end... What is the Writ of Passage? What trials does it hold? Find out all about it next week! We have more than a few surprises in store 👀 Plus an asset our community has been asking for a while now...

The Beacon

47,657 görüntüleme • 2 yıl önce

Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything. I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific. Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting. #art #ai

Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything. I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific. Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting. #art #ai

Martin Nebelong

48,280 görüntüleme • 2 yıl önce