Local AI Video Generators

Wan2GP brings video, image, music and speech generation to your own computer, with particular attention to GPUs with limited memory. It's for creators who want several media models in one browser interface. The project builds on Wan-Video/Wan2.1.

DiffSynth-Studio is a Python diffusion model engine for developers and researchers who want to generate media and train models on their own hardware. It supports large models on consumer GPUs through memory offloading and quantization, with inference and training in the same framework. It's open source under Apache 2.0.

SD.Next is a self-hosted web interface for artists, researchers and people who want to generate and edit images or videos on their own hardware. It builds on Automatic1111 WebUI's original codebase and supports Stable Diffusion alongside other diffusion models. It's open source under Apache 2.0.

ComfyUI is a local visual AI workspace for artists and technical teams who want to control how images, video, audio, 3D models and text are made. Its node canvas shows each model and processing step, so users can build and adjust workflows without writing code. It runs on your hardware.

Unsloth brings model training and everyday AI use into a desktop app for people who want to run models on their own hardware. Its no-code interface covers chat, fine-tuning and media generation on macOS, Windows and Linux. The Unsloth software is open source under Apache 2.0.

AI Render is a Blender add-on that uses your scene and a text prompt to generate an image with Stable Diffusion. It's for Blender artists who want to use their 3D work as the basis for AI images and explore different treatments within the application they already use.

Comfy Desktop installs and launches ComfyUI on your computer, taking care of the Python environment and dependencies. You can manage several independent ComfyUI instances, each with its own version, custom nodes and settings. It suits people who want to run local image and media workflows without setting up every environment by hand.

Pyramid Flow is an open-source AI video generator for people who want to create clips on their own hardware, and for researchers working on video models. It turns text prompts into video or animates a supplied image with guidance from text. The Python code uses PyTorch and carries MIT. Model licenses are separate: the SD3-derived weights use the Stability AI Community License. Check the chosen checkpoint before deployment.

AnimateDiff adds text-driven animation to personalized Stable Diffusion models without requiring separate training for each model. It's for artists and developers who want to generate motion while keeping the visual style of a chosen image model. The Python implementation runs locally and includes a Gradio browser interface.

Open-Sora is an open source AI video generation project for developers, researchers, and creators who want to run and adapt a model on their own hardware. Its model focuses on turning reference images into video, with text prompts guiding the result. It also generates video directly from text. The code and Open-Sora 2.0 weights use Apache 2.0.

SkyReels-V2 is a family of downloadable video models for developers and researchers who want to run generation on their own GPUs. It supports text-to-video, image-to-video and extended video generation. Its autoregressive Diffusion Forcing architecture generates longer sequences by continuing video segments.

Mochi 1 is a text-to-video model for creators and developers who want to generate videos on their own hardware or adapt a model to their own footage. Genmo releases it under Apache 2.0, with downloadable weights and code for local use. Genmo also offers a hosted playground for trying the model in a browser.

CogVideoX is a family of downloadable video generation models for developers, researchers and creators who want to generate clips on their own hardware. It turns English text prompts into video, animates a supplied image and can continue an existing video. A local Gradio web interface provides a browser front end for generation.

Lollms WebUI is a local, single-user AI interface for people who want text chat and media generation in one place. It runs on Windows, macOS and Linux, with Docker support, and lets writers, developers and other users choose models and task-specific personalities. It's free and open source under Apache 2.0. The project receives minimal maintenance.

SwarmUI is a self-hosted AI image generation interface that combines a straightforward generation screen with direct access to ComfyUI's node-based workflows. It's for people who want to run creative models on their own hardware, with room to build more detailed workflows as their needs grow.

Amuse combines AI generation with media editing in a Windows app that runs models on your own hardware. It's for people who want to create images, video, audio and text locally, then work on the results in the same application. Its editor also accepts existing local video.

Deforum is a free Stable Diffusion tool for artists and developers who want to generate images and animations on their own hardware. The project is no longer maintained. Its code uses MIT, while downloaded Stable Diffusion models retain their own weight licenses. Its Python script and Jupyter notebook support local generation, while Google Colab and Replicate offer cloud execution.

Sana is an open-source framework for running image and video generation on your own hardware, with image models small enough for laptop GPUs. It's aimed at creators who want local AI generation and developers who need training and inference pipelines for their own models. The code uses the Apache 2.0 license.

Musubi Tuner is a Python toolkit for training LoRA adapters for image and video generation models on your own hardware. It's aimed at people who want to customize these models using their own datasets and are comfortable working with training scripts. It also includes image and video generation scripts for supported architectures.

FramePack is an open source desktop app for making videos from a still image and a written motion prompt. It runs on Windows and Linux, with generation handled by your own NVIDIA GPU. It suits people who want to make AI video locally and see the clip develop as it renders.

Draw Things is an AI image generation app for iPhone, iPad and Mac that keeps generation on your device and works offline. It's for people who want to create and edit images without sending that work to a cloud service, including artists developing character concepts or trying out apparel designs.

LivePortrait animates a still portrait using facial expressions and head movements from a driving video. It's for creators who want to animate faces or edit motion in portrait videos on their own hardware. It works with realistic photos as well as portraits in oil paintings, sculptures and 3D renders.

DiffusionBee is an open-source AI art app for Mac users who want to generate and edit images on their own computer. It runs Stable Diffusion offline, with image generation processed on the device. Model downloads require network access, and optional image uploads can send images externally. Its visual interface suits artists and designers who want local image tools without working through code.

HunyuanVideo is an AI video generation model for creators and developers who want to generate footage on their own hardware. Tencent provides model weights and inference code for text-to-video and image-to-video generation, alongside a hosted web experience. Local inference runs on your GPUs; the web offering runs through Tencent's service.

LTX-Video is an AI video generation model for creators building controlled animations and developers adding video tools to their own products. You can run it locally or on your own servers using publicly available weights. The LTX family also offers a managed cloud API; local deployments can run in isolated environments without a cloud dependency.