Introduction
GridBulk — AI batch image generation with grid splitting. One prompt, multiple images, one credit per generation.
What is GridBulk
GridBulk is an AI batch image generation tool built around one idea: you shouldn't have to generate images one at a time when you're exploring directions.
Pain Point
Exploring creative directions with single-image generation is slow and expensive — every variation means another request, another wait, and another credit.
GridBulk generates a single high-resolution grid — from 1×1 up to 4×4 — then splits it pixel-perfect into individual images. One generation costs one credit, no matter how many images you get back.
Core Features
- Grid layouts from 1×1 to 4×4, with selectable aspect ratios
- One prompt for all cells, or a different prompt per cell
- Top-tier image models, including Nana-Banana-Pro and GPT Image 2
- One credit per generation, however many images come back
- Credits, packages, and subscription plans via Stripe
- API keys for programmatic generation
- Download images individually or as a ZIP
Use Cases
Ad & Marketing Variants
Pain Point
Testing ad creative one image at a time makes A/B iteration painfully slow, and costs scale linearly with every idea you want to try.
Generate a full spread of creative directions in a single request, pick the winners, then iterate. One credit gets you the whole batch.
Social Media Content
Pain Point
Keeping a content calendar full means producing many variations of every post — a grind when each image is a separate request.
Write one prompt per post theme and get a grid of ready-to-publish images. Split, download as ZIP, and schedule.
Concept Exploration & Mockups
Pain Point
Moodboards, style studies, and product mockups all demand breadth — exactly what single-image generation is worst at.
Use per-cell prompts to explore angles, colors, and scenes side by side in one grid, then keep only what works.
Self-Hosting
GridBulk is open source and self-hostable — see the deployment guides for Docker and Cloudflare options.
Tech Stack
Where to Go Next
- Quick Start — get the project running locally
- Environment Variables — configuration reference
- Integration — AI providers, payments, storage, and more
- Deployment — ship to production with Docker or Cloudflare