Oneiric (Higgsfield Open-Source Short Film) — prompt skill for cinematic & short films

For AI agents: find the right skill in one call — curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>" 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.

Higgsfield's 20 min anthology short: four students pick one day anywhere in time, each played as its own genre.

What it does

Four college students hear that Oneiric's technology can plug your brain into any time and place, and each picks where he would spend one day: the Trojan War to see Helen, a deep-space future as a galactic pirate, a fairy-tale world as a mage on a griffin. Each fantasy plays as its own genre vignette. Higgsfield published it from its @higgsfield.studio account as an open project: the page shows the finished film (20 min) next to the canvas with every generation behind it, its prompt, model and reference assets, so you can study how each shot was made and remix it. Behind it: 41,096 generations. Use it as a reference for structure, shot prompts and character consistency; to make your own version, rebuild the shots in varg or on Higgsfield.

Use when

Not for

Install

Not published as a standalone skill yet. Source: https://higgsfield.ai/@higgsfield.studio/projects/oneiric

Example output

https://static.higgsfield.ai/og/v4/project/dfa3c067-3f17-47cc-bc0d-65cc82fb11f0-1alfhpi.jpg — Higgsfield's own share card for the Oneiric project page (key art and title); linked, not re-hosted. (credit: Higgsfield, https://higgsfield.ai/@higgsfield.studio/projects/oneiric)

More cinematic & short films skills

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.