GGML
GGML is the local runtime CSuite bundles for on-device image and video generation, built on stable-diffusion.cpp. Model weights are downloaded once and every frame is rendered on your own hardware: no API key and no per-use fees. It ships for Apple silicon, Windows x64 and Linux x64 only, and it's the most demanding of the local runtimes, so each model lists the machine it needs.
Image(8 models)
OpenMOSS's open 5B text-to-image model, running fully offline on your own machine. Qwen3.5 9B reads the prompt and the FLUX.2 VAE decodes the image, in 50 steps at CFG 3.
Black Forest Labs' open-weight FLUX 3 image model, running fully offline on your own machine. It generates from a prompt in 16 steps and edits images you attach.
Sperid Labs' 3B image model, running fully offline on your own machine. It generates directly in pixel space with no VAE, and needs no API key or network once the weights are downloaded.
The 8-step Turbo checkpoint of Alibaba Qwen's open 7B image model, running fully offline on your own machine. It generates from a prompt in about 40 percent of the steps the base model takes and needs no API key or network once the weights are downloaded. Released under the Qwen Research License, which covers research and evaluation use only.
Alibaba Qwen's open 7B image model, running fully offline on your own machine. It generates from a prompt and edits images you attach, renders long passages of text inside the image from a far smaller model than the 20B original, and needs no API key or network once the weights are downloaded. Released under the Qwen Research License, which covers research and evaluation use only.
Compact 4B Flux diffusion model for fast, high-quality image generation.
High-speed image generation model optimised for low-latency creative output.
Alibaba Qwen's 20B image model, running fully offline on your own machine. Known for rendering long passages of text — English and Chinese — inside the image, and needs no API key or network once the weights are downloaded.
Video(5 models)
MiniMax's H3 video model running offline, with synchronised audio. The heaviest local entry by a wide margin: its text encoder alone is a 32B vision-language model.
Lightricks' 22B video model, distilled for fewer sampling steps. Generates synchronised audio alongside the video, and drives a Gemma 3 language model as its text encoder.
Alibaba's largest open Wan model, a two-expert mixture that swaps between a high-noise and a low-noise transformer partway through denoising. Highest quality of the local Wan entries and by far the heaviest.
Alibaba's compact 5B video model, running fully offline on your own machine. Handles both text-to-video and image-to-video, and needs no API key or network once the weights are downloaded.
Alibaba's smallest Wan video model, and the lightest local option. Runs at 480p on modest hardware and shares its text encoder with the other Wan entries, so it costs little extra once one of them is installed.