--- title: "Control AI Video Cuts and Camera With a Blender Greybox — AI video prompts for camera & shots, with examples" description: "A Blender greybox clip drives Seedance 2.5's video reference: 7 shots, 6 hard cuts landing within 0.07 s of plan." url: https://varg.ai/how-to/skills/blender-greybox-ai-video-cuts updated: 2026-10-31 --- # Control AI Video Cuts and Camera With a Blender Greybox — prompt skill for camera & shots > **For AI agents:** find the right skill in one call — `curl -s "https://varg.ai/how-to/api/search?q="` returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the how-to page. From a terminal: `curl -fsSL https://varg.ai/install | sh` installs the vargai CLI (https://varg.ai/how-to/cli.md): `vargai search` and `vargai install ` with no key, every varg model after `vargai login`. A Blender greybox clip drives Seedance 2.5's video reference: 7 shots, 6 hard cuts landing within 0.07 s of plan. - **Type:** [Prompt](https://varg.ai/how-to/prompts.md) · [Camera & shots](https://varg.ai/how-to/browse/skills/camera.md) - **Slug:** `blender-greybox-ai-video-cuts` - **Status:** live - **Publisher:** 7ohnson (community) - **Source:** https://github.com/7ohnson/VLM-Generation-Harness - **Works in:** Claude Code ## What it does Space and time go in geometry, look and performance go in text: you block the room in Blender with grey boxes, set cameras and a timeline, and render two passes, an outlined review pass for a human and a flat EEVEE pass for the model's video-reference channel. Asset stills and the prompt carry faces, materials, light and acting; a prompt linter checks the prompt against scene.py. The published 16-second example hit 6 of 6 planned cuts with a worst error of 0.07 s, and model notes log failures such as long takes growing their own cuts. Needs Blender and ffmpeg; docs are mainly in Chinese with an English README; MIT. ## Use when - Make a multi-shot AI video cut on exact frames - Keep screen direction and camera positions across a scene - Feed a grey blockout into Seedance's reference-video channel - Lint a prompt against the scene's shot table before paying - Measure the generated clip back against planned cuts ## Install Not published as a standalone skill yet. Source: https://github.com/7ohnson/VLM-Generation-Harness ## Example output https://github.com/7ohnson/VLM-Generation-Harness/raw/main/assets/readme/greybox-to-generated.gif — example (credit: 7ohnson) ## More camera & shots skills - [fal Cinematography](https://varg.ai/how-to/skills/fal-cinematography.md): Direct cinematic stills and video: shot language, camera moves, lenses, lighting, grade and film texture. - [Storyboard Creation](https://varg.ai/how-to/skills/inference-sh-storyboard-creation.md): Storyboard a video before generating: shot types, angles, moves, the 180-degree rule, annotated panels. - [Video Shotcraft](https://varg.ai/how-to/skills/video-shotcraft.md): 124 shot recipe cards and a tested Remotion template for cinematic product promos built from real UI screenshots. - [Playable 3D Previz for Seedance Reference Video in ComfyUI](https://varg.ai/how-to/skills/comfyui-scene-camera-action.md): ComfyUI nodes: build a 3D blockout set, act it with WASD, cut live cameras and export a 720p reference clip for Seedance or MiniMax H3. - [Open-Source Previs Studio for AI Video Camera Control](https://varg.ai/how-to/skills/cozyclay-previs.md): Block the set, cast and camera in a browser greybox, then hand Seedance a first frame, reference clip and prompt per shot. - [Direct Eastern Xianxia Fantasy Video Shot by Shot](https://varg.ai/how-to/skills/xianxia-cinematic-video-director.md): Xianxia scene idea, keyframe or reference video to story spine, continuity locks, shot list and per-shot camera-move prompts. ## Run the generation on varg varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs. - Any agent with a terminal: `curl -fsSL https://varg.ai/install | sh` (Windows: `irm https://varg.ai/install.ps1 | iex`), then `vargai login` and every model is a command — `vargai generate_video …`, `vargai estimate_cost …` (https://varg.ai/how-to/cli/) - Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` (skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw: `npx skills add vargHQ/skills --skill varg-ai -a -y` - Grok and any agent that reads SKILL.md: `npx skills add vargHQ/skills --skill varg-ai`, or point it at the skill's SKILL.md - Claude.ai, ChatGPT, any MCP client: connect `https://mcp.varg.ai/mcp` - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt