I believe I have created a videoMaterial and assigned it to a mesh with code I found in the Developer's Documentation but Im getting this error. "Trailing closure passed to parameter of type 'String' that does not accept a closure" I have attached a photo of the code and where the error happens. Any help will greatly be appreciated.

Anyone could share ideas or nodes setup to implement a gaussian blur on shader graph material, with a blur size parameter? Thanks!

In my Reality Composer Pro workflow for Vision Pro development, I’m using xcrun realitytool image to pre-compress textures into .ktx format, typically using ASTC block compression. These textures are used for cubemaps and environment assets. I’ve noticed that regardless of the image content—whether it’s a highly detailed photo or a completely black image—once compressed with the same ASTC block size (e.g., ASTC_8x8), the resulting .ktx file size is nearly identical. There appears to be no content-aware logic that adapts the compression ratio to the actual texture complexity. In contrast, Unreal Engine behaves differently: even when all cubemap faces are imported at the same resolution as DDS textures, the engine performs content-aware compression during packaging: Low-complexity images are compressed more aggressively The final packaged file size varies based on content complexity Since Reality Composer Pro requires textures to be pre-compressed as .ktx, there’s no opportunity for runtime optimization or per-image compression adjustment. Just wondering: is there any recommended way to implement content-aware compression for .ktx textures in Reality Composer Pro? Or any best practices to optimize .ktx sizes based on image complexity? Thanks!

In my Reality Composer Pro workflow for Vision Pro development, I’m using xcrun realitytool image to pre-compress textures into .ktx format, typically using ASTC block compression. These textures are used for cubemaps and environment assets. I’ve noticed that regardless of the image content—whether it’s a highly detailed photo or a completely black image—once compressed with the same ASTC block size (e.g., ASTC_8x8), the resulting .ktx file size is nearly identical. There appears to be no content-aware logic that adapts the compression ratio to the actual texture complexity. In contrast, Unreal Engine behaves differently: even when all cubemap faces are imported at the same resolution as DDS textures, the engine performs content-aware compression during packaging: Low-complexity images are compressed more aggressively The final packaged file size varies based on content complexity Since Reality Composer Pro requires textures to be pre-compressed as .ktx, there’s no opportunity for runtime optimization or per-image compression adjustment. Just wondering: is there any recommended way to implement content-aware compression for .ktx textures in Reality Composer Pro? Or any best practices to optimize .ktx sizes based on image complexity? Thanks!

I am still not finding resources to know how to replace hands in a full immersive Space.... I reached the goal by creating a ARKit session that can detect the USDZ hand mesh Joints and connect to the hand-tracked-joints.... but I feel that's not the best solution... I really want to use the RealityKit potential to track and replace hands (with USDZ skinned ones) in an immersive environment, but the only resources I found are from November 2023.... :( Can someone help me?

I am trying to loop my videoMaterial. I have researched the AXQueuePlayer and AVPlayerLooper and tried to implement them into my code. Please see attached. There are no errors showing up but the videoMaterial is no longer working. Please see the attached for the working code that plays the videoMaterial. I am stumped can anyone help me solve this? Thank you.

In Reality Composer Pro, why is the Sky Sphere so much larger than the Sky Dome? By my estimate, the Sky Sphere has a radius of 100m, while the Sky only has a radius of only 12m.

How can I create 180-degree apple immersive videos using game engine

I'm developing a custom gesture-based visionOS project that uses hand tracking with collision detection spheres on fingers to register user interactions through collision components. I'm experiencing a critical occlusion issue where collision detection spheres are intermittently occluded by the background/depth buffer, causing fingers to pass through the 3D model entities without registering interactions. Detailed Description: I have added 3D entities in an immersive scene with collision spheres attached to fingers for detecting user interactions. Each sphere has: CollisionComponent with sphere shape Proper collision masks and groups configured Real-time position updates from hand joint transforms Each entity has: InputTarget components to register collisions The Issue: When users move their fingers to the entity to interact, some collision spheres (particularly on the pinkie and ring fingers) become occluded and pass directly through the 3D model without triggering collision events. Meanwhile, other fingers (like the index finger) continue to work correctly. This appears to be a depth perception/z-buffer issue between the model entity and the hand tracking collision spheres Questions: Is there a recommended approach for maintaining consistent depth ordering between hand-tracking entities and 3D models in immersive spaces to prevent occlusion issues? Should I be using AnchorEntities to anchor the entity to a plane or world position to establish a more stable depth reference? Are there specific RenderingComponent or material settings that could help ensure collision entities maintain their depth priority and don't get occluded? Could this be related to z-fighting when collision spheres and entity geometry occupy similar depth ranges? If so, what's the recommended depth bias approach? Is there a better architectural approach for implementing interactions with custom hand gesture tracking that avoids these depth perception issues? What Would Help: Implementation guidance for ensuring reliable collision detection between hand-tracked entities through custom gestures and 3D models. Best practices for depth management in immersive spaces with custom hand gesture tracking. Sample code demonstrating stable hand-to-object interaction patterns. Information about whether this is a known limitation or if there are specific APIs I should be leveraging This issue is significantly impacting the reliability of our app experience, as users cannot consistently interact with all model components. Any guidance from Apple engineers or developers who have solved similar depth/occlusion challenges would be greatly appreciated. Additional Context: This is for a productivity-focused application where accuracy and reliability are critical. Thank you for any assistance!

I have an arguably massive project and am not sure if the issue is with the assets or my approach in the code. the error says : Tool terminated due to error "SIGNAL 6:Abort trap:6" Basically I have around 15-20 assets (usda files built out of usdz files). In the code i am loading a scene with all the usda files and then have the functions to enable and disable a particular asset when needed. This was working as intended when i am using dummy assets(with less polygons, lesser textures) But when i placed the actual assets the error appears and persists. Do I have a bad approach of loading all the scenes at once? Previously i have used an approach which loads the scenes when needed and that involved some lag before rendering the assets. But my current approach(when using dummies) works like a dime rendering and hiding the assets in realtime with no lag. Kindly suggest any workarounds.

Hi, we have been working on an application that attaches a hand model to the users hands. Apple provides an animating hand models in visionOS project that is a useful starting point. https://developer.apple.com/documentation/visionOS/animating-hand-models-in-visionOS We have been trying to create our own hand model to attach but have had some issues with how it is attaching to the hand. For our hand model we want to include the forearm all the way up to the users elbow. I have attached a sample project of what our code currently looks like so you can run it. Just select show immersive space to attach the models. The left hand model is the space glove that we were trying to mirror. The right hand model is our model that we have been using. I have mapped each of the joints to the pertaining joint name on our model. The first issue we are having seems to be based around the placement of the forearm. It attaches itself at the wrist. The second issue seems to be around rotation. Our team is looking for some guidance on what needs to change in order to map this model correctly. Thanks in advance!