CyberTimon

RapidRAW v1.6.7 released: major performance boost, Immich integration, smart AI masks, GPU-accelerated AI & more Timon has released v1.6.7. The headline is a rewritten image pipeline that makes the app faster and lighter on RAM, alongside Immich integration, GPU acceleration for AI models, new AI masks and a long list of image quality rewrites. This is a pretty big one so check out the official release notes for full context with screenshots: RapidRAW v1.6.7 on GitHub Some existing edits may look different Several core algorithms were rewritten, so older edits can shift after updating: - RAW colors: tungsten and artificial light photos may change, and very saturated colors are now compressed instead of clipped. - Dehaze and Whites: images using these may need readjusting. - Noise reduction and sharpening: may look cleaner or sharper. - Highlights: clipped RAW highlights are rebuilt with more natural color. If you're mid-project on something important, finish it on your current version first. Performance Faster thumbnails, previews, exports and batch actions, optimized GPU shaders and lower memory use. Two new Advanced settings let you control export concurrency and how much RAM a batch export may use. New features Immich integration Browse your Immich albums and timeline and edit photos as if they were local files. Edits are stored on the Immich server and synced, you can export straight to Immich, and the API key is kept in your system's credential store. Requires Immich 2.5 or newer. Thanks to contributor cl1x. AI and masking - GPU acceleration for AI models: DirectML on Windows, CoreML on macOS, with automatic CPU fallback. Can be turned off in settings. - Smart AI masks in copy & paste and presets: AI masks now regenerate for each image instead of being pasted as-is. Lens Blur, Fog, Relight and AI Denoise are now available as copy & paste groups. - New sky and foreground models: EfficientSAM3 for sky and BiRefNet for foreground, both with much finer edges. They download on first use. - AI Text Mask: type the name of an object and get a mask for it. - Face Segmentation: select facial regions such as skin, hair, eyes, lips and teeth. Denoise, now fully non-destructive AI Denoise runs on the GPU on Windows and macOS and can be pasted across photos without creating extra files. The old TIFF-saving denoise modal is gone. For AI-Free Mode there's a new BM3D-based Classic Denoise in the Details panel. Non-destructive negative conversion Film negative conversion now lives in the Details panel with adjustable color balance, print exposure and print grade. Batch conversion is in the right-click menu. The old modal is removed. Job Queue Replaces the old AI queue and tracks exports, imports, file transfers, model downloads and AI tasks in one place. Everything can be cancelled, and AI jobs can be paused, resumed or retried. Image quality - Color-preserving highlight reconstruction working directly on RAW data. - More accurate RAW colors with dual-illuminant camera profiles and gamut compression. - Rewritten noise reduction and sharpening with better detail and smoother curved edges. - Rewritten Dehaze that estimates haze color and removes it with an edge-aware filter. Sliding left still adds haze. Workflow - New before/after compare modes: split left/right, split top/bottom and side by side, keeping zoom and position. - Auto Adjust levels: Subtle, Normal and Strong from the right-click menu. Auto now only touches exposure, not Brightness. - Storage page: see disk use by category, clear each one, and set size limits with automatic cleanup. Fixes and smaller improvements - Fast inpainting keeps more surrounding texture. - Better AI mask edges, and fixed banding on face, hair and skin masks. - Tethering: cameras that reuse file names no longer show the previous shot. - Thumbnails refresh when RAW processing settings change. - Stronger Whites slider reaching further into the midtones. - Fixed a jump in the Highlights slider when leaving zero. - Fixed loading from network drives without file locking. - Up/down arrow keys move between rows in the library grid. - An undo toast when a rating or flag removes an image from the current filter. - General stability and performance fixes. Downloads Standard builds for Windows, macOS (Apple Silicon and Intel), Ubuntu 22.04 and 24.04, and Android. Separate _tethering builds for macOS and Ubuntu (these need libgphoto2 installed first). ARM builds, RPM and AppImage are in the full asset list. RapidRAW v1.6.7 on GitHub A note on installation warnings RapidRAW is not yet code-signed, so your OS may complain on first launch: - macOS: if macOS reports the app as damaged or corrupted, it is not broken. Remove the quarantine flag after installation: xattr -dr com.apple.quarantine /Applications/RapidRAW.app - Windows: SmartScreen may warn you. Click More info → Run anyway.

RapidRAW now integrates with Immich Hi everyone, I'm the developer of RapidRAW, a RAW editor with over 10k stars on GitHub, and the latest release adds Immich integration. If you’ve been looking for a way to edit your RAWs directly from your Immich library, this might be worth a look. RapidRAW is fast, runs fully local, and covers the usual stuff like masking, color grading, lens correction and denoise. You connect RapidRAW to your server and can then browse your albums and timeline right in the library and edit any photo like a local file. Originals are only downloaded when you open or export them, so you don't need a local copy of your library. Edits are stored with each photo on your Immich server (this needs Immich 2.5 or newer), so they look the same on every computer and survive a cleared cache. Your originals are never changed. You can also export straight back to Immich, where the export is stacked on top of its original. Big thanks to cl1x, who built the integration. preview.redd.it Release and downloads: github.com/CyberTimon/RapidRAW/releases/latest Website: getrapidraw.com It's the first release with Immich support, so I'd love to hear how it works with your setup. Timon

Rapidraw Web - your lovely powerful software on a server, edit in browser Hi all! And of all ofcourse the main developer behind Rapidraw u/CyberTimon , I've already written about this on Github repo of RapidRAW. But I'd like to write about it here too. vedranius/rapidraw-web Few days ago I was shooting a concert and got an idea, what if RapidRaw could be run on a dedicated PC/server somewhere in my house, and I could just open the web-browser on my laptop and connect to it and edit the photos the same as I would be on that PC. As I have a Claude Pro I tried doing something like that with it, thanks to Sonnet 5.5 and ultracode AI made a bridge for RapidRaw that works amazingly. So, it's a fork of RapidRaw, it uses Tauri and everything works in a browser, uses Nvidia/AMD GPU for processing same as Rapidraw. More on github how it works. What I have to say is that somehow, not sure why and how, but it works faster, processing thumbnails is faster, denoising is faster. Right now I'm running it on CachyOS (Linux) with Nvidia 1660Ti / 6GB VRAM and I'm amazed how fast and responsive it is! :D Also, what I've done is that I put my PC on "internet" acessing it via ZeroTrust tunnel using Cloudflare. So now, I can edit my RAW photos from anywhere with blazingly fast speed, using tablet, phone or laptop. I've also tried editing via my android phone connected via my domain, using zerotrust CF and I must say that works really really great! Tho, some changes into GUI could be done, so that it works better on smaller screens (smartphones) but so far I've done few edits like that without an issue! What I've added and Rapidraw doesn't have and was missing for this purpose: - choosing folder on server or on pc that connects to it via browser, so you can edit either photos that are already on your server/storage or photos that you just shot and are on your PC, because photos get synced to your rapidraw-web bridge server on-demand and you can edit it momentarily without waiting for transfer of for example thousands of photos - when firstly running the bridge you choose your main folder where your photos are on a server and that folder becomes your only folder that you see in "Files" of your server because of security, so that you cant go to other folders on a server - At the same time as I've described above you can choose a folder of your own laptop/tablet/PC that is a client device - loading bar when RAW is being decoded while editing, so that you know what's going on - loading circle and percentage when you change any parameter of a photo, for example exposuer, clarity etc. - label above every thumbnail that it is queued and how long will it take to process each thumbnail, when it is fetching a preview - an easy select when choosing resolution of thumbnails, and to process it based on your Internet connection and ofcourse your server's capabilities (performance) I must say, I've used it now in several occassions to edit concert photos and I'm loving it and I hope that you can try it test it out and give me some feedback. Screenshots from rapidraw-web can be found here: RapidRAW#1849 My future idea is to add AI-style that implements culling to create AI tags for photos. So that anyone can edit photos using AI by just typing how they want to edit the photo. Main idea behind this is to have AI see scenes, style of for example concert photos and depending on your prompt give you 8 type of edits you can choose and apply to selected photos. Reason for this is for for example concert photographers that need to deliver their photos fast and edited or anyone that doesn't have time to go through every photo and edit manually. Sure, this feature still needs a lot of work, but I'm just interested in community ideas, feedback and to see if there would be any interest in that. I'll try to keep up with changes u/CyberTimon pushes to Rapidraw and update Rapidraw-web with every release. Feel free to comment, give ideas, changes etc.

RapidRAWの開発者による2.5Dリライティング実装の告知とディスカッションが行われているRedditスレッド reddit.com Rust / Tauri / WGPUベースで開発されたオープンソースの写真編集ソフトウェア「RapidRAW」のGitHubリポジトリ CyberTimon/RapidRAW

I implemented 2.5D relighting using depth and normal maps (alternative to diffusion relighting) to my open source photo editor Hey guys, For a long time I tried using different Stable Diffusion relighting setups and models, but I always ran into the same issues on high-res renders and photos. Because they go through VAE encoding and img2img diffusion, you almost always get slight identity loss, changed details, or compression artifacts. In the latest update of my open source photo editor (RapidRAW), I implemented a different approach: 2.5D relighting using depth maps and surface normals. Instead of running the image through a generative model, it estimates depth and surface normals locally, and then calculates the lighting directly on top of your original pixels. Because it does not regenerate the image: - Zero VAE compression or blur - Original details and face identity stay 100% identical - You can move point lights, spot lights, and ray-marched shadows in real time - It works on full high resolution images without running out of VRAM The downside compared to diffusion is that it won't hallucinate completely new bounced reflections or change complex backgrounds. But if you just need to fix lighting, add a spot light, or cast shadows on an existing generation without changing any pixels, it works really well. The app is completely free, local, and open source (Rust/Tauri/WGPU). Thought people here who struggle with diffusion relighting changing their images might find it useful: GitHub: CyberTimon/RapidRAW preview.redd.it preview.redd.it Let me know what you think or if you have any feedback. Timon

RapidRAW v1.6.6 released: Spatial Effects & 2.5D Relighting, non-destructive AI Denoise, Auto Straighten & more Timon has released v1.6.6. The focus this time is spatial creative tools and automation, plus some important changes to how RAW exposure is handled. New features Spatial Effects and 2.5D Relighting RapidRAW now estimates a depth map and surface normals from your image, which enables depth-aware effects in real time: - Relighting with point, spot and directional lights that respond to the surfaces in the scene. - Ray-traced shadows cast against the reconstructed depth. - Volumetric and ground fog that follows scene height and distance. Non-destructive AI Denoise The denoiser now lives in the Details panel as a normal tool, with sliders for reduction strength and fine detail recovery. No more context-menu action producing a large separate TIFF. GPU acceleration and non-destructive batch denoising are still in development. Auto Straighten Analyzes horizons, architectural edges and contours to work out the rotation and reframe the crop. Use Shift+S in the Crop panel, the right-click menu, or run it in batch from the library grid. Detection accuracy is still being refined, so expect the odd miss. Custom center point for Vignette and Centré Drag an on-canvas pin to move the center of the effect, with a live contour overlay. Double-click the pin to reset it. Individual tool visibility toggles Every tool and sub-section has its own on/off toggle, so you can compare a single adjustment like grain, sharpening or color grading without switching off the rest of your edit. RAW baseline exposure and highlight preservation compensation - A configurable baseline exposure bias, +0.7 EV by default, plus support for embedded DNG baseline tags. - Restores the exposure held back by in-camera highlight protection modes on Fujifilm, Canon, Nikon, Olympus and Pentax. - Both are adjustable in Preferences and tracked per image, so photos you've already edited are not affected. Core improvements - DPI setting in the export dialog. - Keywords, ratings and color labels can be written as standard XMP metadata. - Touch multi-selection on Android for rating and batch editing. - New {original_filename_number} batch rename token to keep in-camera frame numbers. - Updated Lensfun database for broader lens correction support. - .rrdata sidecars are no longer written for images with only default settings. - Staged preview caching to reduce lag and flicker when dragging sliders. - General stability and performance fixes. Downloads Standard builds for Windows, macOS (Apple Silicon and Intel), Ubuntu 22.04 and 24.04, and Android. Separate _tethering builds for macOS and Ubuntu (these need libgphoto2 installed first). ARM builds, RPM and AppImage are in the full asset list. RapidRAW v1.6.6 on GitHub A note on installation warnings RapidRAW is not yet code-signed, so your OS may complain on first launch: - macOS: if macOS reports the app as damaged or corrupted, it is not broken. Remove the quarantine flag after installation: xattr -dr com.apple.quarantine /Applications/RapidRAW.app - Windows: SmartScreen may warn you. Click More info → Run anyway.

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