Results for “cinematic-shot”

Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet `anchor` rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subject matting; split multi-shot footage before applying it.

Turns a single talking-head video into a video-to-video prompt with kinetic supers and rapid camera whips, preserving the original footage.

Re-renders a subject or scene from multiple dramatic camera angles while maintaining consistent identity and detail.

Capture snapshots, clips, or motion events from RTSP/ONVIF cameras using the camsnap CLI.

Capture frames or clips from RTSP/ONVIF cameras.

Captures snapshots, clips, and motion events from configured IP cameras using the camsnap CLI.

Capture frames or clips from RTSP/ONVIF cameras.

Capture frames or clips from RTSP/ONVIF cameras.

Generates a complete set of multi-angle product shots — front, side, back, top-down, and 45-degree perspective — for comprehensive product visualization.

Generate professional product images for e-commerce, including hero shots, packshots, lifestyle scenes, and detail close-ups using AI via the inference.sh CLI.

Generate a cinematic freeze-effect video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap.

Creates a cinematic 5–10 second product advertisement video from a product photo and brand brief, using AI image generation, upscaling, and video animation.

Capture frames or clips from RTSP/ONVIF cameras.

Design a visual protest action that generates media coverage for a cause without requiring budget or platform access.

Generates a realistic behind-the-scenes selfie of the user with a celebrity from a specified movie, with an option to create a cinematic video connecting multiple selfies.

Generates a single-frame HTML template with a cinematic film-leak aesthetic: warm light leaks, 35mm grain, 2.39:1 letterbox, and serif typography for opening titles or chapter cards.

Capture frames or clips from RTSP/ONVIF cameras.

Capture frames or clips from RTSP/ONVIF cameras.

Provides a catalog of cinematic transition techniques (zoom-through, cut-the-curve, waterfall cut, etc.) with GSAP parameters for velocity-matched seams and in-scene motion.

Capture frames or clips from RTSP/ONVIF cameras.

Work with Lapian Notes / 拉片笔记 (github.com/bkingfilm/lapian-notes) — a local- first React/Vite tool that turns a film into an editable shot-by-shot study notebook: local frame extraction, AI-assisted structure analysis (bring your own AI, no API key required), story-line swimlane timeline, structure tree, and audience-emotion curve. Use when the user asks about Lapian Notes, "拉片笔记", "拉片" (shot-by-shot film analysis) tooling, cloning/running this repo (npm run dev, run.bat/run.command), the AI-analysis-package (ZIP) round-trip workflow, or contributing a PR to lapian-notes. Not for generic video editing (use `opencut` for that) or generic film-analysis theory unrelated to this codebase.

提供米开朗基罗·安东尼奥尼导演风格的创意建议，涵盖视觉方案、叙事建议和场景设计，适用于剧本创作与影像设计。

Use when building a scroll-driven cinematic 3D landing experience for any brand: AI-generated photoreal frames displaced into real 3D by depth maps, a scroll-scrubbed camera fly-through with weighted-leg pacing and per-leg camera moves, mouse parallax, explode-on-scroll shatter transitions, an ember particle field, warp streaks, a live in-scene terminal that runs a REAL product demo, a branded preloader, an exit handoff into the page below, a self-hosted display typeface, phone gyro parallax, and opt-in synthesized ambient sound. Covers 2K image generation via OpenRouter, depth maps, the WebGL engine, chrome (nav/consent) integration, the observe-first verify loop, and the flag-off ship posture.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Provides creative advice in the style of director Quentin Tarantino, covering visual design, narrative structure, and scene design for filmmaking projects.

Kling 3.0 video generation on RunComfy. Kling 3.0 (also called Kling V3.0) is Kuaishou Technology's third-generation multi-shot video model with native synchronized audio and consistent character identity across shots. This skill covers all six Kling 3.0 endpoints, spanning three rendering tiers (Standard, Pro, 4K) and two modes (text-to-video, image-to-video). Calls runcomfy run kling/kling-3.0/<tier>/<mode> through the local RunComfy CLI. Triggers on "kling", "kling 3.0", "kling v3", "kling pro", "kling 4k", "kling text to video", "kling image to video", or any explicit ask to generate or animate with Kling 3.0.

Generates a 15-second cinematic cooking tutorial video from a single person photo, using a two-step process that first creates a composite reference sheet and then animates the full sequence with consistent character and environment.

Provides creative guidance in the style of director Hou Hsiao-hsien, offering visual, narrative, and scene design suggestions for filmmaking and scriptwriting.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Enables zero-shot image classification, image-text matching, and cross-modal retrieval using OpenAI's CLIP model, with code for semantic search, content moderation, and vector database integration.

Kling 3.0 video generation on RunComfy. Kling 3.0 (also called Kling V3.0) is Kuaishou Technology's third-generation multi-shot video model with native synchronized audio and consistent character identity across shots. This skill covers all six Kling 3.0 endpoints, spanning three rendering tiers (Standard, Pro, 4K) and two modes (text-to-video, image-to-video). Calls runcomfy run kling/kling-3.0/<tier>/<mode> through the local RunComfy CLI. Triggers on "kling", "kling 3.0", "kling v3", "kling pro", "kling 4k", "kling text to video", "kling image to video", or any explicit ask to generate or animate with Kling 3.0.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Provides creative advice in the style of director Tsui Hark, offering visual, narrative, and scene design suggestions for filmmaking and storytelling.