Individual skill
kling-4-keyframe-film
Make a cinematic short film, music video or story video with Kling 4 the way it works best: beat sheet, a cast and look reference, every key shot made as a still on GPT Image 2.5, then one 30-second Kling 4 reference-to-video take per beat from two to four stills and a short prompt, then cut the usable seconds like live-action takes. Includes the still prompt template ("Image 1 is the man to match exactly…"), the take prompt, dialogue scenes, a fix pass for faces and hands, costs and the varg calls. Use when someone wants a short film, music video, Halloween or holiday film, comedy sketch, trailer or narrative scene made with Kling 4 (kling_v4), asks how to get cinematic Kling 4 results, or says their Kling 4 output looks like AI slop. For prompt rules only use kling-4-prompting; for a single action montage use kling-4-action-montage.
plugins/vargHQ/skills/kling-4-keyframe-film/SKILL.md
Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61
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- Last checked
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# A short film with Kling 4: stills first, 30-second takes, cut like live action
Kling 4 animates well and badly frames shots it invents. So the image model does the cinematography and Kling 4 does the acting, motion, voices and the in-between. This is how fal's Kling 4 Halloween music video was made ([YouTube, 2026-10-30](https://www.youtube.com/watch?v=WzXKggH-0Io)): about 18 key stills on GPT Image 2.5, mostly 30-second Kling 4 takes at 1080p 21:9, then an edit that kept the best seconds of each. Prompt rules and the failure table live in `kling-4-prompting`.
Generation runs on varg: REST `https://api.varg.ai/v2` (the `varg-ai` skill) or the MCP server `https://mcp.varg.ai/mcp`. Price every take first (`POST /v2/estimate` or `estimate_cost` with `"model": "kling_v4"`).
## 1. Ask, then go
- **Story:** 3–6 beats, one sentence each (setup, joke or turn, action, payoff, button line). A 60–90 s film is 3–6 takes.
- **Cast:** a photo or sheet per character (`varg-character-design`), the outfit written as a list of details.
- **Place:** a real, named location if possible ("Washington Square Park", "the Brooklyn Banks"). GPT Image 2.5 researches real places well, which Kling 4 text-to-video does not.
- **Look:** aspect ratio (21:9 for cinema, 9:16 for social), lens (ultra-wide fisheye, 35 mm, telephoto), film stock and grade, grain, motion blur. One look image (a frame you like) used as "reference only for color grade".
- **Budget:** a 30 s take at 1080p ≈ $7.05 (705 credits); at 720p about two thirds of that. Plan 2–4 takes per beat.