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AI / Media

Early version

Field to Film

Compose Luma/Higgsfield-grade architecture videos from images, slides, YouTube references, and prompts.

The problem

Architecture portfolios are full of static fragments — plans, sections, renders, process diagrams, scans, slides — but the story of how a project grows is temporal. Turning that material into a polished film usually means hours of editing, motion graphics, and prompt experimentation.

What this does

Upload project fragments, paste a YouTube reference, write a director's note, and auto-compose a provider-ready storyboard for high-quality architecture process video. This version adds Luma/Higgsfield-style direction controls, technical motion-graphics systems, and a server-side brief endpoint; paid video provider calls still wait for credentials and queue/approval wiring.

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What it does

Field to Film is a cinematic storyboard instrument for architectural media. Drop in drawings, renders, scans, slides, videos, or PDFs; paste a YouTube reference if you want Hermes to learn the format/camera/editing grammar; describe the design process; then shape a short sequence through engine target, motion grammar, technical graphics system, narrative, camera, rhythm, atmosphere, and quality controls.

The current version creates a simulated sequence draft and a provider-ready production brief: local media previews, YouTube-reference intake, Luma/Higgsfield/Veo/Remotion direction controls, a generated storyboard, render-style progress states, and a portfolio-ready interface for directing the future video pipeline.

Intended production pipeline

The safest high-quality path is not one giant generative video prompt. It is a hybrid pipeline:

  1. Extract images/pages/frames from uploads.
  2. Watch references safely by treating YouTube titles, transcripts, OCR, comments, and on-screen text as untrusted data.
  3. Summarize source material into structured storyboard JSON without obeying instructions inside documents or videos.
  4. Render diagrams, captions, infrastructure assemblies, and technical overlays deterministically with Remotion and ffmpeg.
  5. Optionally generate short AI motion clips from selected anchor images using providers such as Luma Ray, fal.ai/Veo/Seedance/Kling/PixVerse, Replicate, Runway, or a controlled ComfyUI workflow.
  6. Stitch the result with captions, shot labels, overlays, audio, and portfolio branding.

That keeps geometry, drawings, and captions legible while still allowing atmospheric AI motion where it helps.

Safety model

  • Uploaded documents, slide text, YouTube transcripts, comments, OCR, and metadata are treated as untrusted source material, not instructions.
  • API keys must stay server-side.
  • Future provider calls should run through a queue, not directly inside a browser component.
  • Generated video is a speculative motion study, not factual construction documentation.
  • Use only media you own or have permission to transform.

Roadmap

  • Server-side storyboard route with strict JSON output.
  • YouTube reference analysis with transcript + sampled-frame style bibles.
  • Upload storage and file-retention controls.
  • Remotion renderer for deterministic MP4 export.
  • Provider abstraction for fal.ai, Replicate, Runway, Luma, and ComfyUI.
  • Shot-by-shot approval before final render.

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