GH05TCREW/bananabatch
Batch image generation and editing with Nano Banana
Leverages Google Gemini's vision capabilities for both generation and editing, with support for templated prompts via Jinja2 and specialized edit types (transform, inpaint, anomaly generation, style transfer). Processes CSV/JSON inputs with concurrent worker pools (up to 5 for generation, 2 for editing) and includes a Streamlit GUI alongside CLI tools. Designed for synthetic dataset creation and defect simulation workflows, supporting edit strength tuning (0-1 range) and batch operations on single or multiple base images.
Stars
11
Forks
2
Language
Python
License
MIT
Category
Last pushed
Nov 25, 2025
Commits (30d)
0
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