Generate branded marketing images automatically from a reusable design template.
Build an automated workflow that finds, ranks, and picks the best photo for a location.
Connect Notion, Google Drive, and AI models into one automated content pipeline.
Render batches of template variations from a list of input images.
| danstta/ignis | 0xkinno/neuralvault | 0xmayurrr/ai-contractauditor | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | moderate | hard | easy |
| Complexity | 4/5 | 4/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Needs a PostgreSQL database, Bun, and an Inngest account for background job execution, more integrations need extra API keys.
Ignis is an open-source platform that combines design templating with workflow automation, similar to mixing a tool like Canva with a tool like Zapier. It is built for teams that need to create branded images and other visual assets automatically and at scale, rather than designing each one by hand. The design side offers a canvas based template editor where you can add text, images, and shapes, style text with fonts, colors, and gradients, and reuse a defined brand identity, such as colors, fonts, and logos, across every template. Finished designs are rendered as PNG images on the server. The automation side lets you build workflows on a visual canvas made of connected nodes. Available nodes cover things like receiving webhook data to start a workflow, searching for and ranking images with AI vision models, calling a language model with a custom prompt, pausing for a human to review or pick a design, rendering a filled in template as a final image, updating a Notion page, and listing or uploading files in Google Drive. Workflows can pause partway through so a person can step in, then continue automatically afterward. Ignis connects to outside services including Google Drive, OpenAI, Claude, Azure AI Foundry, and Notion, and workflow jobs run in the background using a service called Inngest, which handles retries so a failed step does not have to start the whole workflow over. Under the hood it is built with Next.js, PostgreSQL, and Tailwind CSS, and accounts are handled with email and password login, with optional Google or GitHub social login. To try it locally you clone the repository, install dependencies with Bun, set a database URL and session secret in an environment file, run the database migrations, and start the development server. The project notes it is in an early stage, so its features and setup may still change between releases. The full README is longer than what was shown.
An open-source platform that combines a visual design template editor with drag and drop workflow automation for generating branded images at scale.
Mainly TypeScript. The stack also includes TypeScript, Next.js, PostgreSQL.
No license information was found in the README.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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