gemini-omni-flash-api

name	gemini-omni-flash-api
description	Use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK. Includes workflows fo
category	Document Processing
source	antigravity
tags	["python","api","ai","workflow","design","document","image","security","cro"]
url	https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/gemini-omni-flash-api

Gemini Omni Flash Skill

When to Use

Use this skill when you need use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK. Includes workflows for pre-processing/optimizing high-resolution or long source videos with ffmpeg,...

This skill uses the Gemini Omni Flash model (gemini-omni-flash-preview) to perform text to video generation, image to video generation and video editing.

[!WARNING] Important Regional Restrictions: Uploading videos to use for video edits is NOT available in the EEA, Switzerland, the United Kingdom, and some US states. If a video-to-video edit completes quickly with empty outputs (total_output_tokens: 0 or no video content), it is likely due to this restriction.

Core capabilities

1. Video editing and refinement: Editing existing videos (maximum duration 10 seconds), applying stylistic changes, or performing inpainting/outpainting.
2. Text to video: Generating videos from a text prompt.
3. First-frame to video: Generating videos from a single input image.
4. Image-referenced generation: Using style, character, or object references from images to guide video generation.

Workflow

1. Analyze request: Determine the target task (e.g., first-frame-to-video, reference-guided editing) and identify any input media assets.

2. Run SDK scripts:

   • Directly run the appropriate utility (scripts/video/generate_video.py or scripts/upload_file.py).
   • Configure settings like --aspect-ratio (e.g. 16:9, 9:16) and --duration (any integer between 3 and 10 seconds, e.g. 3, 5, 10).

3. Retrieve and process output: Outputs are saved to the local filesystem (e.g. media/). Report back the completed media path to the user.

Reference Documentation

• Interactions API: All operations and state management for the Gemini Omni Flash model (gemini-omni-flash-preview) are handled via the Interactions API.
• Files API: Input media files (such as reference images and videos) must be uploaded via the Files API first before being referenced in generations. The uploaded file URI and MIME type are then included in the interactions.create input parts array.
• Interactions API Skill Reference: Platform-wide guidelines, current model specifications, and SDK usage rules for the Interactions API.

Dependencies and Prerequisites

• Python SDK (google-genai): Requires google-genai >= 2.10.0 (Python) to support the new interactions client attribute. Install or upgrade using:

  pip install -U google-genai
  

• Python Runtime: Requires Python >= 3.10 (for compatibility with modern google-genai SDK types and methods).
• ffmpeg & ffprobe: prep_video.py, inspect_video.py, and generate_video.py (when stripping audio via --strip-audio) require ffmpeg and ffprobe binaries installed and available in your system PATH.

Available scripts

Use the following Python scripts to upload media with the Files API, prepare input videos with ffmpeg, and generate video outputs using the Interactions API.

1. upload_file.py: Uploads local media (images and videos) to the Files API and polls until ACTIVE. If uploading a video larger than 25MB, it prints an informative warning/tip highlighting that Gemini Omni Flash is optimized for editing 10s videos at 720p/24fps, and recommends pre-processing with prep_video.py first to speed up the upload.

   ./scripts/upload_file.py path/to/image.png
   

2. generate_video.py: Performs end-to-end video generation and downloads the output video. It detects and uploads local media references (images or videos) before calling the Interactions API. Large video assets (>25MB) will trigger informative pre-processing recommendations without blocking the upload.

   • Text to video:

     ./scripts/video/generate_video.py "A close-up of a cat drinking tea" --output media/cat_tea.mp4
     

   • Image to video (first frame and reference):

     ./scripts/video/generate_video.py "The waves crash against the shore." --image reference.png --output media/waves.mp4
     

   • Video interpolation:

     Provide exactly two images as keyframes to generate a transition video between them:

     ./scripts/video/generate_video.py "A smooth timelapse from sunrise to sunset" --image start.png --image end.png --output media/interpolation.mp4
     

   • Video editing (keep original audio):

     ./scripts/video/generate_video.py "Transform the style to Japanese anime" --video