FluxMotion

FluxMotion is a mobile app that connects to your PC and enables prompt-powered image and video generation using your own hardware. Fully private, no generation limits or cutoffs. The project that runs on your PC is the Wan2GP open-source project that makes running large models on consumer hardware trivially simple. IMPORTANT: Before you buy, please check the system requirements just in case your PC or Mac hardware is not supported. These are listed at the bottom. AMD/Intel GPUs are not supported at the moment, and Linux may work but is not officially supported yet. Features: - text to image and image editing, powered by various Flux2 models chosen for speed - surgical prompt-driven image edits, with support for automatic image masking and reference image use for in painting (i.e. you want to replace a shirt with a specific shirt you have an image of) - self hosted and fully private (no one is profiting off of your images or prompts and they all stay on your own hardware) - performance modes: Ultra Speed, Speed and Quality to give you options for how fast you can iterate - queueing support, enabling you to submit 10+ image or video generation requests, close the app, and come back to them being fully finished - queue management features, to stop generations you don't want to go through - image to image iteration association, enabling easier creative tweaking of your image and seeing what effect - any settings used for an image or video are retained with the image - with just a prompt, you can ask the model to 'upscale' or 'make an image 4k' which will highly sharpen the image - x2 actual image upscale support using Real-ESRGAN (for exporting purposes when you are ready to share) - import any image that you find on the internet to tinker with, or create a video from Image performance overviews: - "Ultra Speed" uses Flux2 Klein 4b. Recommended for full image style changes, common edits, or bulk iteration - "Speed" uses Flux2 Klein 9b 4 step distilled. Default and recommended for most of your image creation/editing tasks. It has some LoRAs for improved quality - "Quality" uses the full Flux2 Klein 9b model. Recommended for nuanced/higher intelligence edits or for potentially more complex images Video performance overviews: All video generation currently uses Wan2.2, but some settings are changed depending on the performance you selected. - "Ultra Speed" does a 2-step inference at 5fps. Recommended when you are testing out how well a prompt works as a concept. Recommended to use 256p for even faster results - "Speed" does a 2-step inference at 16fps. Will produce decent video quality most of the time, but may blur with large amounts of movement - "Quality" does a 4-step inference at 16fps. Highest quality you can expect with minimal artifacts, even with drastic changes in movement Windows requirements: - an Nvidia GPU; any GPU (recommended to have at least 12GB of VRAM but may work with less) 1000-5000 series - system RAM: 32GB recommended, untested with 16GB or less (models use your GPU and system RAM when possible) - ~150GB of space available (models are downloaded only when you use them, but they can total up to 130GB or so of space) Mac requirements: - a Mac powered by an Apple Silicon chip (M1 or greater) - 16GB of RAM minimal to run the 'Ultra Speed' preset for images; 36GB at least if you want to run the 'Speed' preset - you MUST have at least 64GB of RAM if you want to run the 'Quality' image preset or any of the image to video presets