SKILL.md
Gemini Omni Flash (Google DeepMind)
Gemini Omni is Google DeepMind's video generation and editing model family. The OpenMontage direct adapter uses the generally available Gemini Omni 1.1 Flash model (gemini-omni-1.1-flash) through the Gemini Interactions API. Its implemented baseline generates 3–10 second clips at 720p/24fps with synthesized audio. Its differentiator in the OpenMontage fleet is stateful conversational editing: each stored generation returns an interaction_id, and a follow-up call with previous_interaction_id edits that video in place — no other wrapped provider can refine a clip without regenerating it.
OpenMontage wraps it as gemini_omni_video (native Gemini API, no gateway). It shares GOOGLE_API_KEY/GEMINI_API_KEY with google_imagen and google_tts — one key, three capabilities. Paid tier only: ~$0.10 per second of output video (exactly 5,792 output tokens/sec at $17.50/1M, before input and any text/thought output).
Other documented routes are available when the direct Google key is not the chosen provider:
| Route | OpenMontage call | Important limitation |
|---|---|---|
| fal.ai | gemini_omni_fal |
T2V, I2V, reference video, and edit endpoints; no Google interaction ID is returned |
| Runway | runway_video, model: "gemini_omni_flash" |
T2V/I2V/V2V; video edits accept up to five image references |
| ComfyUI Partner Node | Not a stable 1.1 fallback in this adapter | The existing GeminiVideoOmni mapping targets the legacy preview node; migrate it separately to GeminiVideoOmniV2 before claiming Omni 1.1 support |
Use the direct gemini_omni_video route for stateful conversational editing.
Gateway routes return ordinary provider tasks and cannot preserve Google's
previous_interaction_id workflow. The fal edit endpoint can still be iterated
by feeding each output video URL into the next edit call.