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  • Run the CDF Orchestration Event Video Generation DAG on Kubernetes or OSMO - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generation, anomaly video generation, image-to-video synth
    Skill

  • Run the CDF Video Data Augmentation Airflow workflow on Kubernetes or OSMO to create Cosmos video-to-video variants and auto-label both source and generated videos. Use for VDA payload authoring, preflight, execution, monitoring, output verification, or r
    Skill
  • NVIDIA
    DownloadableFree Endpoint

    synthetic-video-detector

    NVIDIA Synthetic Video Detector is an AI-powered micro-service for detecting AI‑generated (synthetic) videos.
    Model

  • Use when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.
    Skill

  • Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.
    Skill

  • Use when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity with authenticated samples and user media, or producing a clearly labeled documentation-derived planning est
    Skill

  • Use when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the one-frame encode/decode smoke test with official samples, and when interpreting what those readines
    Skill

  • InternVideo2-CLIP L14 (TAO video_clip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. Use when the user asks to "fine-tune IV2CLIP", "run video_clip train/evaluate/inferenc
    Skill

  • Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
    Skill

  • Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA samples, and NVIDIA documentation; also applies the content-DRM scope.
    Skill
  • NVIDIA
    Downloadable

    Video Super Resolution NIM

    Upscale encoded or ST 2110 video to higher resolutions with NVIDIA Video Super Resolution.
    Model
  • Advanced18 MIN

    Generate Controlled Video with ComfyUI

    Composition-locked storyboards to 4K with LTX-2.3 and RTX Video Super Resolution
    Playbook

  • Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto labeling, VDA demo, OSMO
    Skill

  • Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning traces, via VLM/LLM distillation. Use when the user wants
    Skill
  • Intermediate13 MIN

    Generate Images and Video with ComfyUI

    FLUX.2 image and LTX-2 video workflows you run locally with full creative control
    Playbook
  • General
    LaunchableEnterprise

    Build a Video Search and Summarization (VSS) Agent

    Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
    Blueprint
  • Intermediate30 MIN

    Stream Real-Time Video to a Vision Language Model

    A webcam-based testbed for comparing VLMs across backends
    Playbook
  • Intermediate2 HOURS

    Generate Images and Videos with ComfyUI

    Node-based diffusion workflows for images and videos with FLUX, Wan, HunyuanVideo, and Stable Diffusion
    Playbook
  • Wan-ai
    Downloadable

    wan2.2-animate-2-14b

    Wan2.2-Animate-2 is a novel end-to-end character animation framework
    Model
  • NVIDIA
    Free Endpoint

    cosmos-transfer2.5-2b

    Generates physics-aware video world states for physical AI development using text prompts and multiple spatial control inputs derived from real-world data or simulation.
    Model
  • Google
    Free Endpoint

    paligemma

    Vision language model adept at comprehending text and visual inputs to produce informative responses
    Model
  • NVIDIA
    DownloadableFree Endpoint

    nemotron-3-nano-omni-30b-a3b-reasoning

    Nemotron 3 Nano Omni is an omni-modal reasoning model that understands images, video, speech, text.
    Model
  • NVIDIA
    DownloadableFree Endpoint

    cosmos3-nano

    Generates images, videos and action predictions from text, visual inputs and spatial controls, with mandatory input screening and visual SynthID watermarking.
    Model
  • NVIDIA
    DownloadableFree Endpoint

    cosmos3-nano-reasoner

    Vision language model that excels in understanding the physical world using structured reasoning on videos or images.
    Model
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