ComfyUI is a free, open-source node-based interface for running AI image and video generation models locally. Users build workflows by connecting nodes — each node performs one operation such as loading a model, applying a sampler, or encoding a prompt — giving precise control over every step of the generation process. It is the primary interface for users who run Stable Diffusion and other open-weight models on their own hardware.
App View, a major UX addition, provides a simplified interface that hides the node graph and presents a clean form-based UI for users who do not need to modify the underlying workflow. Node View remains fully available for advanced users. This dual-mode approach makes ComfyUI accessible to beginners without removing any capability from experienced users.
NVFP4 quantization, introduced for NVIDIA RTX 50 Series GPUs, enables generation to run 2.5 times faster while reducing VRAM consumption by approximately 60%. This means users with RTX 50 Series cards can run larger models that previously required more expensive hardware, or run existing models at substantially higher speeds.
Official AMD ROCm support landed for the Windows Desktop app, making ComfyUI fully supported on AMD GPUs on Windows for the first time without requiring manual workarounds. New nodes for Veo 3, Veo 3 Lite, and Kling 3.0 were added, along with 4K output support for ByteDance, Veo, and Kling video generation pipelines. RTX Video Super Resolution enables real-time 4K upscaling of generated video on supported NVIDIA hardware.
Python 3.13 compatibility was added, keeping ComfyUI current with the latest Python release and ensuring compatibility with newer packages in the Python ecosystem.
ComfyUI is best for advanced users, researchers, and developers who want full control over AI image and video generation workflows, run models locally on their own hardware, and need support for the latest open-weight and third-party models.
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