I’m working on a Vision Pro app using Metal and need to implement multi-pass rendering. Specifically, I want to render intermediate results to a texture, then use that texture in a second pass for post-processing before presenting the final output. What’s the best approach in visionOS? Should I use multiple render passes in a single command buffer or separate command buffers? Any insights on efficiently handling this in RealityKit or Metal? Thanks!

I have a visionOS 2 project created on Xcode 16, when I updated to Xcode 26 beta5, I can't build it any more, every time it stuck in process like the picture shows below: Already tried many methods to fix this issue, such as clear build folders, but don't work. MacBook Air M2 / MacOS 26 beta5 / Xcode 26 beta5

I need help to wrap my head around this... If I import the Reality Composer Pro package and load it into an ARView, I will see 1.3gb of memory usage and about 180-220% cpu usage. The frames will start at around 60fps, and then eventually drop to around 30fps. If I export the usdz from Reality Composer Pro and load that into the same ARView, I will see about 1gb of memory usage and around 150% cpu usage; fps holds longer at 60 but eventually drops. If I load that same usdz into a QuickLook view, I will see about 55mb of memory usage, 9-11% cpu, and the frames stay locked at 116fps. The only thing I notice is the button I have is slightly less responsive, but it all still works fine. I don't understand. How can I make the ARView work as efficiently as QuickLook?

I've been struggling with this for far too long so I've decided to finally come here and see if anyone can point me to the documentation that I'm missing. I'm sure it's something so simple but I just can't figure it out. I can SharePlay our test app with my brother (device to device) but when I open a volumetric window, it says "not shared" under it. I assume this will likely fix the video sharing problem we have as well. Everything else works so smooth but SharePlay has just been such a struggle for me. It's the last piece to the puzzle before we can put it on the App Store.

I saw at WWDC25 mentions of visionOS 26 now providing hand tracking poses at 90hz, but I also recall that being a feature in visionOS 2. Is there something new happening in visionOS 26 that makes its implementation of hand tracking "better"?

I've tried following apple's documentation to apply a video material on a Model Entity, but I have encountered a compile error while attempting to specify the Spatial Audio type. It is a 360 video on a Sphere which plays just fine, but the audio is too quiet compared to the volume I get when I preview the video on Xcode. So I tried tried to configure audio playback mode on the material but it gives me a compile error: "audioInputMode' is unavailable in visionOS audioInputMode' has been explicitly marked unavailable here RealityFoundation.VideoPlaybackController.audioInputMode)" https://developer.apple.com/documentation/realitykit/videomaterial/ Code: let player = AVPlayer(url: url) // Instantiate and configure the video material. let material = VideoMaterial(avPlayer: player) // Configure audio playback mode. material.controller.audioInputMode = .spatial // this line won’t compile. VisionOS 2.4, Xcode 16.4, also tried Xcode 26 beta 2. The videos are HEVC MPEG-4 codecs. Is there any other way to do this, or is there a workaround available? Thank you.

prefetching logic for UICollectionView on VisionOS does not work. I have set up a Standalone test repo to demonstrate this issue. This repo is basically a visionOS version of Apple's guide project on implementation of prefetching logic. in repo you will see a simple ViewController that has UICollectionView, wrapped inside UIViewControllerRepresentable. on scroll, it should print 🕊️ prefetch start on console to demonstrate func collectionView(_ collectionView: UICollectionView, prefetchItemsAt indexPaths: [IndexPath]) is called. However it never happens on VisionOS devices. With the same code it behaves correctly on iOS devices

Hi! I'm currently trying to render another XR scene in front of a RealityKit one. Actually, I'm anchoring a plane to the head with a shader to display for left/right eye side-by-side images. By default, the camera has a near plane so I can directly draw at z=0. Is there a way to change the camera near plane? Or maybe there is a better solution to overlay image/texture for left/right eyes? Ideally, I would layer some kind of CompositorLayer on RealityKit, but that's sadly not possible from what I know. Thanks in advance and have a good day!

I want to create a screenshot (static image) of the current view on the Apple Vision Pro using written code in visionOS. Unfortunately, I currently can’t find a way to achieve this. The only option I’ve found so far is through Reality Composer Pro. However, since I want to accomplish this directly through code, this approach is not an option for me.

SharePlay objects are not placed in the same place in the same space. I hope they can be placed in the same place. （Vision Pro）

I am developing an app which needs high-quality immersion on VisionOS. I found that when some messages pop up, the virtual object will get transparent so the immersion is broken. How could I disable such pop-up messages when the ImmersiveSpace is open .

Hi, would love for your help in that matter. I try to get the position in space of two QR codes to make an alignment to their positions in space. The detection shows that the QR codes position is always 0,0,0 and I don't understand why. Here's my code: import SwiftUI import RealityKit import RealityKitContent struct AnchorView: View { @ObservedObject var qrCoordinator: QRCoordinator @ObservedObject var coordinator: ImmersiveCoordinator let qrName: String @Binding var startQRDetection: Bool @State private var anchor: AnchorEntity? = nil @State private var detectionTask: Task<Void, Never>? = nil var body: some View { RealityView { content in // Add the QR anchor once (must exist before detection starts) if anchor == nil { let imageAnchor = AnchorEntity(.image(group: "QRs", name: qrName)) content.add(imageAnchor) anchor = imageAnchor print("📌 Created anchor for \(qrName)") } } .onChange(of: startQRDetection) { enabled in if enabled { startDetection() } else { stopDetection() } } .onDisappear { stopDetection() } } private func startDetection() { guard detectionTask == nil, let anchor = anchor else { return } detectionTask = Task { var detected = false while !Task.isCancelled && !detected { print("🔎 Checking \(qrName)... isAnchored=\(anchor.isAnchored)") if anchor.isAnchored { // wait a short moment to let transform update try? await Task.sleep(nanoseconds: 100_000_000) let worldPos = anchor.position(relativeTo: nil) if worldPos != .zero { // relative to modelRootEntity if available var posToSave = worldPos if let modelEntity = coordinator.modelRootEntity { posToSave = anchor.position(relativeTo: modelEntity) print("converted to model position") } else { print("⚠️ modelRootEntity not available, using world position") } print("✅ \(qrName) detected at position: world=\(worldPos) saved=\(posToSave)") if qrName == "reanchor1" { qrCoordinator.qr1Position = posToSave let marker = createMarker(color: [0,1,0]) marker.position = .zero // sits directly on QR marker.position = SIMD3<Float>(0, 0.02, 0) anchor.addChild(marker) print("marker1 added") } else if qrName == "reanchor2" { qrCoordinator.qr2Position = posToSave let marker = createMarker(color: [0,0,1]) marker.position = posToSave // sits directly on QR marker.position = SIMD3<Float>(0, 0.02, 0) anchor.addChild(marker) print("marker2 added") } detected = true } else { print("⚠️ \(qrName) anchored but still at origin, retrying...") } } try? await Task.sleep(nanoseconds: 500_000_000) // throttle loop } print("🛑 QR detection loop ended for \(qrName)") detectionTask = nil } } private func stopDetection() { detectionTask?.cancel() detectionTask = nil } private func createMarker(color: SIMD3<Float>) -> ModelEntity { let sphere = MeshResource.generateSphere(radius: 0.05) let material = SimpleMaterial(color: UIColor( red: CGFloat(color.x), green: CGFloat(color.y), blue: CGFloat(color.z), alpha: 1.0 ), isMetallic: false) let marker = ModelEntity(mesh: sphere, materials: [material]) marker.name = "marker" return marker } }

I am trying the image tracking of ARKit on VisionPro, but there seems to be some problem when adding reference image. Here is my code: let images = ReferenceImage.loadReferenceImages(inGroupNamed: "photos") print("Images: \(images)") try await appState!.arkitSession.run([imageTracking]) It can successfully print those images, however sometimes it will print the error message like this: ARImageTrackingRemoteService: Adding reference image <ARReferenceImage: 0x3032399e0 name="chair" physicalSize=(0.070, 0.093)> failed. When this error message is printed, the corresponding image can not be tracked. I do not understand why this will happen, because sometimes the image can be successfully added, but other time not, even for the same image. It makes my app not stable. Besides, there are some other error messages, and I do not know whether it is related: ARPredictorRemoteService <0x1042154a0>: Query queue is not running. Execution of the command buffer was aborted due to an error during execution. Insufficient Permission (to submit GPU work from background) (00000006:kIOGPUCommandBufferCallbackErrorBackgroundExecutionNotPermitted)

`error: [xrsimulator] Component Compatibility: EnvironmentLightingConfiguration not available for 'xros 1.0', please update 'platforms' array in Package.swift error: [xrsimulator] Exception thrown during compile: compileFailedBecause(reason: "compatibility faults") error: Tool exited with code 1

I am experiencing an issue where USDZ files exported from Blender do not display textures when opened in Apple Vision Pro Quick Look. Instead of the expected materials, the model appears completely white, as if the textures are missing or not being recognized by the rendering engine.

I noticed in the latest macOS beta 3 that there was this update: A new algorithm significantly improves PhotogrammetrySession reconstruction quality of low-texture objects not captured with the ObjectCaptureSession front end. It will be downloaded and cached once in the background when the PhotogrammetrySession is used at runtime. If network isn’t available at that time, the old low quality model will be used until the new one can be downloaded. There is no code change needed to get this improved model. (145220451) I am not noticing any difference to before with the reconstructions I tested so I am assuming it's reverting to the old model but in the logs there is no way to see if it succeeds or fails to download that new model. do you have any more information on what was improved here with some examples and what we should be looking for? also how can confirm the download of that new model has not failed?

Does anyone have any idea if Apple plans to add in UDIM support for its 3D development? It is a real bummer to not have this feature and makes an otherwise clean USD pipeline kinda suck.

Hi all, I'm running into an issue with an app that previously worked fine on device using visionOS 2.0. After updating to visionOS 26, the same code runs fine in the simulator but crashes on the device with the following error: -[MTLDebugComputeCommandEncoder _validateThreadsPerThreadgroup:]:1330: failed assertion `(threadsPerThreadgroup.width(32) * threadsPerThreadgroup.height(32) * threadsPerThreadgroup.depth(1))(1024) must be <= 832. (kernel threadgroup size limit)` Is there any documented way to check or increase the allowed threadsPerThreadgroup size on Apple Vision Pro? Or any recommended workaround for this regression? Thanks in advance!

具体表现为：在Unity编辑器中材质显示正常，但部署到Vision Pro真机后部分材质丢失或Shader效果异常（如透明通道失效、光照计算错误等）。此问题影响了开发进度，希望得到技术支持的帮助 Specific results: The materials are displayed normally in the Unity editor, but after being deployed to the Vision Pro real machine, some materials are lost or the Shader effect is abnormal (such as transparent channel failure, antenna calculation error, etc.). This problem has affected the development progress, and I hope to get help from technical support

Is there any size guidance for the new WidgetKit integration on visionOS? The Widget HIG provides dimensions for all the widget size classes on iOS, iPadOS and watchOS, but has not been updated for visionOS. https://developer.apple.com/design/human-interface-guidelines/widgets My potential widget use case is image based, so I'm looking to better understand the optimal size, resolution etc I would need, particularly for the new visionOS specific extra large widget size.