AI Background Generation with Gemini

Nano Banana is the codename for Gemini's built-in image generation capabilities. It's integrated directly into Gemini 2.5 Flash, allowing you to generate high-quality, photorealistic images from text prompts in the same API call. Unlike separate image generation models, Nano Banana understands context conversationally and can generate images with accurate text rendering and detailed scenes.

Be descriptive and specific. Instead of 'office background,' try: 'A modern minimalist office with floor-to-ceiling windows overlooking a city skyline at golden hour. Warm sunlight, polished concrete floors, sleek wooden desks, green plants. Professional, inviting atmosphere.' Use photography terms (lighting, mood, camera angle) for photorealistic results. Describe the scene, not just keywords.

The workflow supports all Gemini image generation aspect ratios. Most common: 1:1 (square, default), 16:9 and 4:3 (landscape for YouTube/presentations), 9:16 and 3:4 (vertical for TikTok/Instagram). Full list of 10 supported ratios with exact resolutions: https://ai.google.dev/gemini-api/docs/image-generation#aspect_ratios. Match your video's aspect ratio or choose based on your target platform for best results.

Pricing is split between Gemini and VideoBGRemover: Gemini charges $0.03 per generated image (~$0.039 per 1290 tokens for image output). VideoBGRemover charges $0.50-$2.00 per minute of video processed. Total cost: approximately $0.53-$2.03 per video depending on video length. Gemini API has free tier quotas; VideoBGRemover offers free trial credits.

Yes! The workflow automatically uploads the AI-generated background image to your Google Drive before compositing. You can download and reuse these images for multiple videos, brand assets, or other projects. The images are high-resolution PNGs (up to 1536px depending on aspect ratio) and include SynthID watermarks for provenance.

Installation takes about 5 minutes: 1) In n8n, go to Workflows → Import from URL, 2) Paste the template URL and import, 3) Add your Gemini API key to n8n environment variables as GEMINI_KEY (get from https://aistudio.google.com/apikey), 4) Add your VideoBGRemover API key as VIDEOBGREMOVER_KEY, 5) Connect your Google Drive account, 6) Test with the sample inputs provided in the workflow.

Yes! You can run the workflow multiple times with different prompts for the same video URL. Each run will generate a new background image and create a new composed video. This is perfect for A/B testing different backgrounds, creating variations for different platforms, or exploring creative options before choosing your favorite.

Gemini can generate virtually any scene you can describe: modern offices, tropical beaches, minimalist studios, cozy coffee shops, futuristic cityscapes, professional home offices, branded environments, abstract patterns, and more. It excels at photorealistic scenes, architectural photography styles, and detailed environments. The model understands lighting, perspective, and composition.

Yes! Connect the workflow to Google Sheets or Airtable with columns for video_url, background_prompt, and aspect_ratio. Each row will be processed sequentially, generating a unique background for each video. Perfect for creating series content, client projects with different branding, or variations of the same video with different scenes.

Refine your prompt with more specific details. Add terms like 'photorealistic,' mention camera angles (wide-angle, close-up), specify lighting (golden hour, soft diffused light), and describe colors/mood explicitly. If results are consistently off, try breaking complex scenes into simpler descriptions. You can also iterate by describing what to change: 'same scene but with warmer lighting.'

Both! The workflow works on n8n Cloud and self-hosted instances. Requirements: 1) Gemini API key (get from Google AI Studio), 2) VideoBGRemover API key, 3) Google Drive connection (OAuth), 4) n8n environment variables configured. All API calls are made from n8n to external services, so no special hosting setup is needed.

The workflow includes error handling. If Gemini fails to generate an image (invalid prompt, API error, quota exceeded), the workflow captures the error and returns it in a structured response. For webhook triggers, the error is returned to the caller. For manual runs, check the execution log. Common fixes: simplify prompt, check API key, verify Gemini API quotas.