LTX Desktop v1.1.0 is out: local generation on Apple Silicon, a built-in LoRA library, video extend, and more

LTX Desktop v1.1.0 just shipped with some big updates. Apple Silicon Macs can generate video locally now, there's a built-in LoRA/IC-LoRA library you can browse and apply from inside the app with per-adapter strength control, and you can now extend a generated clip forward or backward. Full breakdown below, plus improvements and bug fixes. Apple Silicon Macs can now generate locally Macs used to be API-only. Now Apple Silicon Macs run generation locally. Tested on an M4 Pro with 48GB, so that's the config to aim for. It may run on lower configurations, but treat that as a pleasant surprise rather than a commitment. Intel Macs stay API-only, since they have no MPS backend. LoRA / IC-LoRA library Browse and download LoRAs and IC-LoRAs straight from the app, each with its own strength slider. You can also drop your own .safetensors into the loras/ folder if you prefer. These will work in local generation only, not API mode. Enhance The Enhance button augments your prompt before generation. It's available for video and image generation and in IC-LoRA mode. When a library LoRA or IC-LoRA is selected, it reads that item's metadata and example prompts, so it shapes the prompt to fit and inserts any required trigger words. Run it locally if you've already got the Gemma text encoder downloaded, or through the Gemini API if you've set a key. Video extend Grow a generated clip forward (append) or backward (prepend). Works locally or via API. Image editing (Z-Image-Turbo) Edit images (image-to-image) on top of the existing text-to-image support. Runs locally or via the fal API. Improvements Base model manager: You can now download, switch, and delete LTX model versions in Settings. Option to keep your previous checkpoint instead of deleting it after an upgrade. First-run setup now shows exactly what it's about to download, with size per file and a total. Experimental "Diffusion Stage Cache" (Settings). Can speed up fast generations by skipping redundant reload work. Off by default while it's still being validated. NVIDIA/CUDA only. Bug fixes Leaving a project mid-generation and coming back no longer loses the result. Fixed visible artifacts/glitches on upscaled videos. Fixed a file-path bug that stopped some local video/image files from loading. Mac note The app looks for roughly 15GB of free RAM (not total) at launch. If a capable Apple Silicon Mac shows API-only mode, close memory-heavy apps (browsers are the usual culprit), then quit and relaunch. Freeing RAM while the app is open won't help, since the check only runs at startup. Download: https://github.com/Lightricks/LTX-Desktop/ Issues or feature requests: GitHub Discuss: Discord submitted by /u/ltx_model [link] [comments]

Source: r/StableDiffusion | 2026-07-23

Related