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"Model Test" • Still a Work in Progress! / Bailey #minecraft #mineimator #animation #shorts #fypシ゚ #마인크래프트 #마인이메이터 #애니메이션 #minecraftmeme #animationmeme #fyp #oc #mineimatormeme

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Peul_Do 🇰🇷

10,049 subscribers

34,976 görüntüleme • 1 ay önce •via X (Twitter)

SanatOyunSeyahat#minecraft#mineimator#animation#shorts#fypシ゚#마인크래프트#마인이메이터#애니메이션#minecraftmeme#animationmeme#fyp#oc#mineimatormeme
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Vizxon 🔞 profil fotoğrafı
Vizxon 🔞1 ay önce

The new model looks amazing :0

juan Silva profil fotoğrafı
juan Silva1 ay önce

❤️❤️

Ikyaja0_ profil fotoğrafı
Ikyaja0_1 ay önce

:0

nothing profil fotoğrafı
nothing1 ay önce

Song name?

Furryvr profil fotoğrafı
Furryvr1 ay önce

@grok I need to know this song bro bro

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gjkjlk1 ay önce

I like your videos

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Rabbit hole / Bailey #minecraft #mineimator #animation #shorts #fypシ゚ #마인크래프트 #마인이메이터 #애니메이션 #minecraftmeme #animationmeme #fyp #oc #mineimatormeme
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Rabbit hole / Bailey #minecraft #mineimator #animation #shorts #fypシ゚ #마인크래프트 #마인이메이터 #애니메이션 #minecraftmeme #animationmeme #fyp #oc #mineimatormeme

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A little animation test I did with my ocs! I hope to make more content with them in the future and I would appreciate any support so so much !!! #oc #indieanime #animation #animationmeme
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A little animation test I did with my ocs! I hope to make more content with them in the future and I would appreciate any support so so much !!! #oc #indieanime #animation #animationmeme

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A little bit of my animation from a fan project - Sonic The Last Adventure. Work in progress. The first scene has test effects, it might look different in the finale #Sonic #animation
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Customizable model progress. Still early stages so I still have a a few fixes to work on in this video. But the customizations are going to go hard for this model! #customizablevtuber #live2dwip #vtubermodel
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Customizable model progress. Still early stages so I still have a a few fixes to work on in this video. But the customizations are going to go hard for this model! #customizablevtuber #live2dwip #vtubermodel

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A gorgeous Cyberpunk 2077 3rd person perspective mod is in works. Note: - Still work in progress by CybrDrake - Combat is still in FP - You can see running animation in the video and consumable animation as well. Detail in comment.
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A gorgeous Cyberpunk 2077 3rd person perspective mod is in works. Note: - Still work in progress by CybrDrake - Combat is still in FP - You can see running animation in the video and consumable animation as well. Detail in comment.

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Early, In-Development Gameplay Footage of Installation 01. We hope you enjoy this quick look at our most recent test session. The game is still very much a work in progress.
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Early, In-Development Gameplay Footage of Installation 01. We hope you enjoy this quick look at our most recent test session. The game is still very much a work in progress.

Installation 01

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🚨Muslims are just 1% of America population of over 400 million...yet very pr0blematic, trying to impose their religion on US🤣 Now the Crusaders are warming up gradually the awareness is gaining massive momentum. They vowed to visit Dearborn (Muslims community of about 100k population) in Michigan to test the ground🤣 Its just a matter of time...crusaders will flush them out without waiting for US government US🤔 #fypシ゚viralシfypシ゚ 14-08-2026
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🚨Muslims are just 1% of America population of over 400 million...yet very pr0blematic, trying to impose their religion on US🤣 Now the Crusaders are warming up gradually the awareness is gaining massive momentum. They vowed to visit Dearborn (Muslims community of about 100k population) in Michigan to test the ground🤣 Its just a matter of time...crusaders will flush them out without waiting for US government US🤔 #fypシ゚viralシfypシ゚ 14-08-2026

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Hello, this is the finished animation to my work in progress from the previous weeks, this one was mostly a test, but if I had any ideas of it being a prelude, this one would be there for it.
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Hello, this is the finished animation to my work in progress from the previous weeks, this one was mostly a test, but if I had any ideas of it being a prelude, this one would be there for it.

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Here's an example of what you can create with Foldspace! Foldspace is a new plugin for #AfterEffects that enables artists to create, edit, and animate curved 3D surfaces. It's still a work in progress. #motiondesign #animation #WIP
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Here's an example of what you can create with Foldspace! Foldspace is a new plugin for #AfterEffects that enables artists to create, edit, and animate curved 3D surfaces. It's still a work in progress. #motiondesign #animation #WIP

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Work-in-progress: a new split layout framework for nearly all Apple platforms (macOS, iOS, etc.). A mix of SwiftUI and raw CoreAnimation. The goal is "every frame perfect" animation. Still very wip, but getting there! Goal is to bring it back to Ghostty eventually.

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Gm ☁️✨ Yesterday I put together the first low res draft of the collaborative piece I’m working on. Pretty damn happy with how it’s looking 👀 Still lots to do though! Here’s an animation test I rendered out a few weeks ago. Just a small section of the scene in progress 🙌🏻

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200ms of network latency... and the feet still stay planted! 👀 Early test integrating Box3D by Erin Catto into Unreal Engine as a plugin. Still a work in progress, but the stability of the foot placement under latency is already looking really promising! Next step: more features, improved networking, and more physics experiments!🚀 #UnrealEngine #GameDev #Physics #Networking #IndieDev #Box3D

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Google presents Still-Moving Customized Video Generation without Customized Video Data Customizing text-to-image (T2I) models has seen tremendous progress recently, particularly in areas such as personalization, stylization, and conditional generation. However, expanding this progress to video generation is still in its infancy, primarily due to the lack of customized video data. In this work, we introduce Still-Moving, a novel generic framework for customizing a text-to-video (T2V) model, without requiring any customized video data. The framework applies to the prominent T2V design where the video model is built over a text-to-image (T2I) model (e.g., via inflation). We assume access to a customized version of the T2I model, trained only on still image data (e.g., using DreamBooth or StyleDrop). Naively plugging in the weights of the customized T2I model into the T2V model often leads to significant artifacts or insufficient adherence to the customization data. To overcome this issue, we train lightweight Spatial Adapters that adjust the features produced by the injected T2I layers. Importantly, our adapters are trained on "frozen videos" (i.e., repeated images), constructed from image samples generated by the customized T2I model. This training is facilitated by a novel Motion Adapter module, which allows us to train on such static videos while preserving the motion prior of the video model. At test time, we remove the Motion Adapter modules and leave in only the trained Spatial Adapters. This restores the motion prior of the T2V model while adhering to the spatial prior of the customized T2I model. We demonstrate the effectiveness of our approach on diverse tasks including personalized, stylized, and conditional generation. In all evaluated scenarios, our method seamlessly integrates the spatial prior of the customized T2I model with a motion prior supplied by the T2V model.
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Google presents Still-Moving Customized Video Generation without Customized Video Data Customizing text-to-image (T2I) models has seen tremendous progress recently, particularly in areas such as personalization, stylization, and conditional generation. However, expanding this progress to video generation is still in its infancy, primarily due to the lack of customized video data. In this work, we introduce Still-Moving, a novel generic framework for customizing a text-to-video (T2V) model, without requiring any customized video data. The framework applies to the prominent T2V design where the video model is built over a text-to-image (T2I) model (e.g., via inflation). We assume access to a customized version of the T2I model, trained only on still image data (e.g., using DreamBooth or StyleDrop). Naively plugging in the weights of the customized T2I model into the T2V model often leads to significant artifacts or insufficient adherence to the customization data. To overcome this issue, we train lightweight Spatial Adapters that adjust the features produced by the injected T2I layers. Importantly, our adapters are trained on "frozen videos" (i.e., repeated images), constructed from image samples generated by the customized T2I model. This training is facilitated by a novel Motion Adapter module, which allows us to train on such static videos while preserving the motion prior of the video model. At test time, we remove the Motion Adapter modules and leave in only the trained Spatial Adapters. This restores the motion prior of the T2V model while adhering to the spatial prior of the customized T2I model. We demonstrate the effectiveness of our approach on diverse tasks including personalized, stylized, and conditional generation. In all evaluated scenarios, our method seamlessly integrates the spatial prior of the customized T2I model with a motion prior supplied by the T2V model.

AK

40,490 görüntüleme • 2 yıl önce

Getting my #Tesla Model Y in a few days. I briefly tried Tesla Full Self-Driving (FSD) (Supervised) and was impressed by the technical progress and hard work behind it. That said, it’s still supervised technology. I watched a lot of #FSD videos and compiled some failure cases here, with the FSD version shown on screen. Enjoy. Source: r/TeslaFSD
0:54

Getting my #Tesla Model Y in a few days. I briefly tried Tesla Full Self-Driving (FSD) (Supervised) and was impressed by the technical progress and hard work behind it. That said, it’s still supervised technology. I watched a lot of #FSD videos and compiled some failure cases here, with the FSD version shown on screen. Enjoy. Source: r/TeslaFSD

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12,822 görüntüleme • 5 ay önce