How to Get Started With Visual Generative AI on NVIDIA RTX PCs

How to Get Started With Visual Generative AI on NVIDIA RTX PCs

Camera movement language: Specify directions like “slow dolly in,” “handheld tracking,” “over‑the‑shoulder shot,” “pans across,” “tilts upward,” “pushes in,” “pulls back” or “static frame.”

Shot types: Specify wide, medium or close‑ups with thoughtful lighting, shallow depth of field and natural motion.

Pacing: Direct for slow motion, time‑lapses, lingering shots, continuous shots, freeze frames or seamless transitions that shape rhythm and tone.

Atmosphere: Add details like fog, mist, rain, golden hour light, reflections and rich surface textures that ground the scene.

Style: Early in the prompt, specify styles like painterly, film noir, analog film, stop‑motion, pixelated edges, fashion editorial or surreal.

Lighting : Direct backlighting, specific color palettes, soft rim light, lens flares or other lighting details using specific language.

Emotions : Focus on prompting for single‑subject performances with clear facial expressions and small gestures.

Voice and audio : Prompt characters to speak or sing in different languages, supported by clear ambient sound descriptions.

As a frontier model, LTX-2 uses significant amounts of video memory (VRAM) to deliver quality results. Memory use goes up as resolution, frame rates, length or steps increase.

ComfyUI and NVIDIA have collaborated to optimize a weight streaming feature that allows users to offload parts of the workflow to system memory if their GPU runs out of VRAM — but this comes at a cost in performance.

Depending on the GPU and use case, users may want to constrain these factors to ensure reasonable generation times.

LTX-2 is an incredibly advanced model — but as with any model, tweaking the settings has a big impact on quality.

Learn more about optimizing LTX-2 usage with RTX GPUs in the Quick Start Guide for LTX-2 In ComfyUI .

Users can simplify the process of hopping between ComfyUI Workflows with FLUX.2-Dev to generate an image, finding it on disk and adding it as an image prompt to the LTX-2 Image to Video Workflow by combining the models into a new workflow:

Open the saved FLUX.2-Dev Text to Image Workflow.

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