NVIDIA accelerates AI Video Gen in ComfyUI with a new App View feature, alongside FP4 & RTX Video Super Resolution support.
NVIDIA Adds App View, FP4 & RTX Video Super Resolution Support To Comfy UI's AI Video Gen
Today, NVIDIA is announcing a new app view in Comfy UI. It's a simplified panel-based interface designed to make advanced AI workflows accessible to more creators. Traditionally, Comfy UI relies on these complex graph node graphs. They're extremely powerful but intimidating for many users who are just getting started. App view hides that complexity. Creators can pick a model, set their prompts, hit run, and collaborate more easily.
And if they need advanced control, they can switch back to node view at any time. Under the hood of Comfy UI, NVIDIA is also advancing performance. We have added native NVFP4, NVFP8, and RTX Video Super Resolution support. With these features, RTX GPUs can now run up to 2.5x faster, and also reduce VRAM requirements by up to 60%, allowing faster and crisper 4K videos to be generated within seconds.
These announcements include:
- ComfyUI’s new App View with a simplified interface lowers the barrier to entry for the popular generative AI tool.
- RTX Video Super Resolution is available for ComfyUI, a real-time 4K upscaler ideal for video generation — also available for developers as a Python Wheel.
- NVFP4 and FP8 model variants released for Lightricks’ LTX-2.3 and Black Forest Labs’ FLUX.2 Klein, delivering up to 2.5x performance gains and 60% lower memory usage.
Frictionless Local AI: Collaborate, Optimize, Customize
Many of today’s popular AI applications are making it easier for beginners to try state-of-the-art models directly on their laptops or desktops. For artists unfamiliar with node graphs, ComfyUI’s new App View presents workflows in a simplified interface. Users only need to enter a prompt, adjust simple parameters, and hit generate. The full node-based experience remains available as Node View, and users can seamlessly switch between the two modes.
App View is compatible with the RTX optimizations in ComfyUI. Performance for RTX GPUs is 40% faster since September, and ComfyUI now supports NVFP4 and FP8 data formats natively. All combined, performance is 2.5x faster, and VRAM is reduced by 60% with NVIDIA GeForce RTX 50 Series GPUs’ NVFP4 format, and performance is 1.7x faster, and VRAM is reduced by 40% with FP8.
At CES in January, NVIDIA announced several models released with NVFP4 and FP8 support. And now more NVFP4 and FP8 models are available — LTX-2.3, FLUX.2 Klein 4B and FLUX.2 Klein 9B — directly in ComfyUI. To get started, download the NVFP4 and FP8 checkpoints directly from Hugging Face, load the default workflows in ComfyUI via the Template Browser, and replace the default model checkpoint with the newly downloaded checkpoint.
Faster 4K Video Generation
Getting high-quality video outputs often means juggling three constraints: speed, VRAM, and control. While many artists ultimately want 4K quality, most prefer to generate smaller, faster previews first, and then upscale them. Today’s upscalers take minutes to upscale a 10‑second clip into 4K resolution.
Now, users can quickly upscale generated video to 4K with NVIDIA RTX Video Super Resolution, available as a node for ComfyUI. RTX Video can be accessed as a standalone node for building video workflows from scratch.
For AI developers, NVIDIA released a free Python package available via the PyPI repository, along with a sample script, to get started quickly. The package provides programmatic access to the same AI upscaling technology that powers RTX Video, running directly on RTX GPU Tensor Cores to deliver 4K upscaling 30x faster than alternative popular local upscalers, and at a fraction of the VRAM cost.
About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.
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