Higgsfield Open-Source AI Films: Every Prompt and Asset — 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.mdto its path. Before generating anything, show the person the options on the how-to page.
33 AI films Higgsfield open-sourced, from a 2 h feature to 15 s spots, each with every prompt, model and asset public.
- Type: Prompt · Cinematic & short films
- Slug:
higgsfield-open-source-films - Status: live
- Publisher: Higgsfield (vendor, verified)
- License: unknown
- Source: https://higgsfield.ai/community/projects
- Works in: Claude Code, Codex
- Cost: Free to watch and browse; remaking shots is billed in Higgsfield credits on Higgsfield, at model price in varg
What it does
Higgsfield publishes some of its own films as open projects: the finished video next to the canvas with every generation behind it, its prompt, model and reference assets. This pack lists all 33 of them as of 2026-10-29: the feature films Cully Hill Boys (473,214 generations) and Hell Grind, the Original Series films (Vengeance Is Mine, Anerneq, Oneiric, Kok Boru, The Trigger, Passport Rush, Adiliada, Red Flag, Zephyr, If You Stop Loving Me, I'll Die), the commercials Inside AI, Untold Stories and Did We Have A Choice?, launch videos, a music video, K-drama and J-drama shorts, and MADSEASON, the first Higgsfield Selected pick. Each film also has its own varg card with the story, the model mix and the links. Use them to see how a long AI film is planned and kept consistent shot to shot, then rebuild the shots you need with varg or on Higgsfield.
Use when
- Find open-source AI films with every prompt and asset public
- See how Higgsfield made its AI films and commercials
- Pick a reference film to study before making an AI short film
- Learn how long AI films keep characters consistent across shots
Not for
- One-click templates: each is a reference you rebuild shot by shot
Install
Not published as a standalone skill yet. Source: https://higgsfield.ai/community/projects
Models it drives: seedance_2_5, seedance_2, seedream_5_pro, gpt_image_2
Example output
https://cdn.higgsfield.ai/card_preview/video_input/974b4fa2-b2db-497c-bec0-314e03237bbc/compressed.mp4 — Higgsfield's own card preview of Inside AI (2026-10-27), the latest open-source film; linked, not re-hosted. (credit: Higgsfield, https://higgsfield.ai/@higgsfield.commercials/projects/inside-ai-commercial)
More cinematic & short films skills
- Previz to Seedance: Plan multi-shot AI video before paying: story, anchor sheets, a three.js grey-box previz, then a Seedance v2v pack.
- Higgsfield Generate: Generate images, video, 3D and audio across 30+ models, plus ad videos and virality scoring, from one CLI.
- fal Recipes: Follow proven multi-step fal pipelines for commercials, product shots, characters, lip-sync and try-on.
- fal Fan Cam: Put someone into a live sports broadcast: a realistic fan-cam cutaway with scoreboard and channel overlays.
- Gemini Omni Flash: Generate and edit video with Gemini Omni 1.1 Flash: text-to-video, first/last frames, extensions, edits.
- Melies: Generate images, video, movie posters and thumbnails from the terminal with 148 AI actors and style flags.
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.
- 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 <agent> -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