NVIDIA Pushes Local AI Art Generation With RTX-Optimized ComfyUI Workflows

NVIDIA has published a detailed tutorial for running advanced visual generative AI locally on RTX PCs, positioning the hardware maker as the go-to platform for creators looking to ditch cloud-based AI services and their associated costs.

The guide, released January 22, 2026, walks users through setting up ComfyUI—the open-source node-based workflow tool that’s become the backbone of local AI image and video generation. The timing coincides with recent RTX optimizations announced at CES earlier this month that NVIDIA claims deliver significantly faster generation times.

Why Local Generation Matters

The pitch is straightforward: run models on your own hardware, pay nothing per generation, keep your assets under direct control. For studios and agencies already integrating AI into production workflows, the elimination of “token anxiety”—the nagging concern about per-use cloud costs—represents a genuine operational advantage.

ComfyUI itself has seen rapid development recently. Just last week, the platform added WAN 2.6 Reference-to-Video capabilities for style and motion mimicking, while FLUX.2 [klein] variants launched January 15 with compact 4B and 9B parameter options optimized for faster local editing.

Hardware Requirements and Model Selection

NVIDIA breaks down GPU requirements by use case. The key distinction: RTX 50 Series cards should use FP4 models, while RTX 40 Series performs best with FP8 variants. This precision matching lets models consume less VRAM while maintaining performance.

FLUX.2-Dev weights can exceed 30GB depending on version—substantial downloads that demand both storage space and patience. The tradeoff is photorealistic output quality that NVIDIA says now rivals commercial cloud services.

For video generation, Lightricks’ LTX-2 model handles audio-video synthesis with what NVIDIA describes as “storyboard-style” controllability. The model combines input images with text prompts, so users can take a FLUX.2 generated image and animate it with specific camera movements, lighting, and even character dialogue.

The Workflow Advantage

ComfyUI’s node-based approach lets users chain models together. The tutorial demonstrates combining FLUX.2-Dev image generation directly into LTX-2 video pipelines—eliminating the manual step of exporting images, locating them on disk, and importing into a separate workflow.

For users hitting VRAM limits, ComfyUI now includes weight streaming developed in collaboration with NVIDIA. The feature offloads portions of workflows to system memory when GPU memory fills up. Performance takes a hit, but generation remains possible on hardware that would otherwise choke on larger models.

NVIDIA also points to its Blueprint for 3D-guided generative AI for creators wanting to incorporate 3D scene control into image and video pipelines—a capability that moves local generation closer to production-ready tooling.

The full tutorial is available on NVIDIA’s blog, with additional prompting guides linked from Black Forest Labs and Lightricks documentation.

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