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。

I added a node to my custom node that converts the depth image to a normal map! This is useful for 2D-style images where Normals Estimation doesn't work well.

toyxyz

31,253 subscribers

117,422 次观看 • 1 年前 •via X (Twitter)

艺术教育科学技术

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

The Set Mesh Normal node has just been added to #GeometryNodes. It allows adding and modifying custom normals, opening up many new possibilities. #b3d #devfund

The Set Mesh Normal node has just been added to #GeometryNodes. It allows adding and modifying custom normals, opening up many new possibilities. #b3d #devfund

Jacques Lucke

142,035 次观看 • 1 年前

Fun & likely unintended use case for #NanoBananaPro: image→3D point cloud Prompt: This is a rendering of a 3D model of a person. Make an accurate image of the corresponding normal map. Then I run Poisson-based normals→3D Pretty amazing for a general-purpose 2D image model 🤩

Fun & likely unintended use case for #NanoBananaPro: image→3D point cloud Prompt: This is a rendering of a 3D model of a person. Make an accurate image of the corresponding normal map. Then I run Poisson-based normals→3D Pretty amazing for a general-purpose 2D image model 🤩

Keenan Crane

71,816 次观看 • 9 个月前

An image + a detailed normal map generated by GeoWizard --> a relightable image. Geowizard is a generative geometry estimation model that could jointly produce high-quality depth and normal with intricate details. Try our huggingface demo here: #huggingface #gradio #geowizard

An image + a detailed normal map generated by GeoWizard --> a relightable image. Geowizard is a generative geometry estimation model that could jointly produce high-quality depth and normal with intricate details. Try our huggingface demo here: #huggingface #gradio #geowizard

Xiao-Xiao Long

30,338 次观看 • 2 年前

Introducing Steerable Motion, a ComfyUI custom node for steering videos using batches of images. You provide images & instructions on how you want to travel between them and it creates smooth video to fill in the gaps. See attached + more here:

Introducing Steerable Motion, a ComfyUI custom node for steering videos using batches of images. You provide images & instructions on how you want to travel between them and it creates smooth video to fill in the gaps. See attached + more here:

POM

68,592 次观看 • 2 年前

📢 Impossible Cloud Network's Node Sale is coming in December! 📢 The countdown begins! This is your chance to become a node operator with ICN, helping to build a secure, decentralized cloud infrastructure while earning rewards for your contribution. More info on the Node Sale will be released soon, so stay tuned! 🚀

📢 Impossible Cloud Network's Node Sale is coming in December! 📢 The countdown begins! This is your chance to become a node operator with ICN, helping to build a secure, decentralized cloud infrastructure while earning rewards for your contribution. More info on the Node Sale will be released soon, so stay tuned! 🚀

Impossible Cloud Network

91,350 次观看 • 1 年前

A few people have asked me about how I handle the lighting for my renders, so I figured it'd be good to share in case someone wants to replicate the technique! The lighting is completely artificial, handled from within the shader using a normal node for each "light source."

A few people have asked me about how I handle the lighting for my renders, so I figured it'd be good to share in case someone wants to replicate the technique! The lighting is completely artificial, handled from within the shader using a normal node for each "light source."

AreCreeps

43,049 次观看 • 6 个月前

I created a simple GUI to use Depth to Normal without ComfyUI! Once you input an image, it will be exported as a .glTF with a normal map. Import it directly into your favorite tool like Blender or CSP. #AI :

I created a simple GUI to use Depth to Normal without ComfyUI! Once you input an image, it will be exported as a .glTF with a normal map. Import it directly into your favorite tool like Blender or CSP. #AI :

toyxyz

29,716 次观看 • 1 年前

🚨 Last week, we announced the massive Checker Node Buyback Program, a chance for node holders to sell their licenses back to Aethir and unlock some exciting benefits. ⏳ The Checker Node Buyback Program goes live on May 27th on this link: Key info 🧵👇

🚨 Last week, we announced the massive Checker Node Buyback Program, a chance for node holders to sell their licenses back to Aethir and unlock some exciting benefits. ⏳ The Checker Node Buyback Program goes live on May 27th on this link: Key info 🧵👇

Aethir

22,221 次观看 • 1 年前

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Bilawal Sidhu

92,886 次观看 • 2 年前

🤔Applying Depth Estimation models directly to videos can result in inconsistency between frames. 💪Well, not anymore. 🔥ChronoDepth is a new approach to video depth estimation that focuses on achieving both accuracy within each frame and consistency across frames. 📜More👇

🤔Applying Depth Estimation models directly to videos can result in inconsistency between frames. 💪Well, not anymore. 🔥ChronoDepth is a new approach to video depth estimation that focuses on achieving both accuracy within each frame and consistency across frames. 📜More👇

Gradio

19,992 次观看 • 2 年前

Some updates on the multiview vistadream pipeline with Rerun! Rerun came in extremely useful here, as being able to visualize depths at each stage of the pipeline allowed me to debug some nasty bugs. Since the last time, I was only working with a single image input. I've added in VGGT as my multiview pose + depth estimator. It works REALLY well for getting camera poses, but the depths are not that great. To try and fix that, I estimated depth maps from MoGeV2 for each of the views, and scale+shift aligned them so that they would match up to the confident sections of VGGT's depth predictions. You can see in the video just how much sharper the visualized 2d depth maps are! The biggest issue continues to be the multiview consistency 🫠 That's up next, along with actually training the Gaussian splat. Lots of work went into actually understanding inputs+outputs for VGGT. I had some funky bugs where the confidence values would all collapse to true I'm also really excited for this pipeline to use Difix3D+ Nvidia instead of Flux Inpainting, it seems like a better suited for a multiview pipeline.

Some updates on the multiview vistadream pipeline with Rerun! Rerun came in extremely useful here, as being able to visualize depths at each stage of the pipeline allowed me to debug some nasty bugs. Since the last time, I was only working with a single image input. I've added in VGGT as my multiview pose + depth estimator. It works REALLY well for getting camera poses, but the depths are not that great. To try and fix that, I estimated depth maps from MoGeV2 for each of the views, and scale+shift aligned them so that they would match up to the confident sections of VGGT's depth predictions. You can see in the video just how much sharper the visualized 2d depth maps are! The biggest issue continues to be the multiview consistency 🫠 That's up next, along with actually training the Gaussian splat. Lots of work went into actually understanding inputs+outputs for VGGT. I had some funky bugs where the confidence values would all collapse to true I'm also really excited for this pipeline to use Difix3D+ Nvidia instead of Flux Inpainting, it seems like a better suited for a multiview pipeline.

Pablo Vela

29,904 次观看 • 1 年前

We are excited to unveil the latest version of the AIOZ Node: The Version 4.0 update! This update includes a new user interface and brings substantial functional improvements, enhancing your overall experience for increased productivity and efficiency. More information below: The standout feature of AIOZ Node v4.0 is the introduction of the Transcoding functionality, which is currently available in beta. This functionality enables your node to participate in video transcoding, which converts video files into different formats for various digital devices and media platforms. By enabling transcoding, your node can contribute more significantly to the AIOZ Network, expanding the network's capabilities and potential $AIOZ token rewards. While the transcoding functionality is currently in beta, the upcoming AIOZ W3Stream integration, a DePIN Video Infrastructure due for release in Q3 2024, will unlock the full potential of your node and enable seamless video transcoding tasks. To get started with AIOZ Node v4.0, you simply need to visit our official website to download the latest version of the AIOZ Node: This download process is very straightforward, and with a one-click installation process, you can set up AIOZ Node v4.0 to start running on your device within a few minutes. If you are already running an AIOZ Node on your device, the version 4.0 update will be applied automatically, ensuring you have the latest features and improvements without hassle! With the Node v4.0 update running on your device, you can proceed to familiarize yourself with the new layout, check out the performance improvements, and start transcoding to see how it enhances your contributions to the network! Learn More: $AIOZ

We are excited to unveil the latest version of the AIOZ Node: The Version 4.0 update! This update includes a new user interface and brings substantial functional improvements, enhancing your overall experience for increased productivity and efficiency. More information below: The standout feature of AIOZ Node v4.0 is the introduction of the Transcoding functionality, which is currently available in beta. This functionality enables your node to participate in video transcoding, which converts video files into different formats for various digital devices and media platforms. By enabling transcoding, your node can contribute more significantly to the AIOZ Network, expanding the network's capabilities and potential $AIOZ token rewards. While the transcoding functionality is currently in beta, the upcoming AIOZ W3Stream integration, a DePIN Video Infrastructure due for release in Q3 2024, will unlock the full potential of your node and enable seamless video transcoding tasks. To get started with AIOZ Node v4.0, you simply need to visit our official website to download the latest version of the AIOZ Node: This download process is very straightforward, and with a one-click installation process, you can set up AIOZ Node v4.0 to start running on your device within a few minutes. If you are already running an AIOZ Node on your device, the version 4.0 update will be applied automatically, ensuring you have the latest features and improvements without hassle! With the Node v4.0 update running on your device, you can proceed to familiarize yourself with the new layout, check out the performance improvements, and start transcoding to see how it enhances your contributions to the network! Learn More: $AIOZ

AIOZ Network

20,428 次观看 • 2 年前

InterLink shipped post-quantum security. The Seoul Private Mainnet runs post-quantum signatures at the protocol level, per InterLink Labs 👤 + 🌐's launch announcement. Most chains are still publishing roadmaps for this. It sits alongside the human node model, where ITLG staking under DAO Proposal #16 converts into ITL and node operators earn for securing the network. A verification chain that assumes quantum computers arrive. $ITL

InterLink shipped post-quantum security. The Seoul Private Mainnet runs post-quantum signatures at the protocol level, per InterLink Labs 👤 + 🌐's launch announcement. Most chains are still publishing roadmaps for this. It sits alongside the human node model, where ITLG staking under DAO Proposal #16 converts into ITL and node operators earn for securing the network. A verification chain that assumes quantum computers arrive. $ITL

BSCN

42,813 次观看 • 1 个月前

Create the viral “girlfriend opens the door” video with GPT Image 2 + local MiniMax H3. 1️⃣ Use GenVizu Canvas Mode to generate the character and scene reference images. 2️⃣ Use my ComfyUI node to turn a simple prompt into a structured 6-part H3 prompt. 3️⃣ Wait & Enjoy! ✨

Create the viral “girlfriend opens the door” video with GPT Image 2 + local MiniMax H3. 1️⃣ Use GenVizu Canvas Mode to generate the character and scene reference images. 2️⃣ Use my ComfyUI node to turn a simple prompt into a structured 6-part H3 prompt. 3️⃣ Wait & Enjoy! ✨

leolee

20,173 次观看 • 5 天前

The design of Geoff is pure genius. For anyone operating a node: idle network nodes use our “Moonlight” co-processor to provide GPUs to external networks. Your node will be productive 24/7.💡 🔑

The design of Geoff is pure genius. For anyone operating a node: idle network nodes use our “Moonlight” co-processor to provide GPUs to external networks. Your node will be productive 24/7.💡 🔑

PAULY

21,946 次观看 • 5 个月前

Yesterday someone suggested I create a fight between Alucard and Drolta Tzuentes using Kling AI 2.6. I usually work with Text to Video, but in this case I had to use Image to Video. The base image is a fusion of two images created in Niji and combined with GPT Image 1.5. Then I added the right prompt to give the fight speed and dynamism. The result isn’t perfect, but it’s pretty cool.

Yesterday someone suggested I create a fight between Alucard and Drolta Tzuentes using Kling AI 2.6. I usually work with Text to Video, but in this case I had to use Image to Video. The base image is a fusion of two images created in Niji and combined with GPT Image 1.5. Then I added the right prompt to give the fight speed and dynamism. The result isn’t perfect, but it’s pretty cool.

OscarAI

18,533 次观看 • 8 个月前

250,000 phones onboarded, a quarter of a million. We started with an idea that phones could power the future of compute. You made it real. 175+ countries. A global network built node by node, by this community. This milestone belongs to you. Now let's go bigger. 300,000 is the next stop.

250,000 phones onboarded, a quarter of a million. We started with an idea that phones could power the future of compute. You made it real. 175+ countries. A global network built node by node, by this community. This milestone belongs to you. Now let's go bigger. 300,000 is the next stop.

Acurast

19,787 次观看 • 5 个月前

Hey, one of my Discord bros just made a PUBG Mortar Calculator that also accounts for map height. Ping where you are, where you want to shoot, and it will automate how far to aim accounting for map height. Disclaimer: my contributions to this project, also doesn't involve datamines

Hey, one of my Discord bros just made a PUBG Mortar Calculator that also accounts for map height. Ping where you are, where you want to shoot, and it will automate how far to aim accounting for map height. Disclaimer: my contributions to this project, also doesn't involve datamines

PlayerIGN

31,591 次观看 • 1 年前

Unreal Engine, Material, experiments... So this time I want to show the node that gives us the cubemap... for example to create pseudo holes. Please, add a lot of likes to the post and I will show another experiment with this #UnrealEngine #UE5 #shader

Unreal Engine, Material, experiments... So this time I want to show the node that gives us the cubemap... for example to create pseudo holes. Please, add a lot of likes to the post and I will show another experiment with this #UnrealEngine #UE5 #shader

Alien 👽 Max | 🇺🇦 game developer

14,312 次观看 • 1 年前