k886860/megalo-image-generator — explained in plain English
Analysis updated 2026-05-18
Batch generate images across many scenes with reference images and retry control.
Track Vertex AI generation costs and lock generation when a credit budget runs low.
Generate and continue Veo videos with image guidance through a managed workflow.
Recover generation history and results after a browser crash mid-batch.
| k886860/megalo-image-generator | 00kaku/gallery-slider-block | 04amanrajj/netwatch | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | — | JavaScript | Rust |
| Last pushed | — | 2021-05-19 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | hard | easy | moderate |
| Complexity | 3/5 | 2/5 | 3/5 |
| Audience | general | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires your own Google Cloud project, billing enabled, and a self-deployed Cloud Run backend.
Megalo Image Generator is a Chrome extension that manages the workflow around generating images and videos with Google Cloud's Vertex AI and Veo services. It does not give you free access to those services or bypass Google's own rules, instead it handles all the busywork around actually using them: organizing reference images, running multiple projects, batching scenes, retrying failed generations, recovering from crashes, tracking how much you are spending, and sorting, splitting, merging, and saving the results. It supports up to ten separate backend and project ID slots that can be rotated between, and lets you attach anywhere from one to fourteen reference images per generation, including specialized modes for handling multiple characters or people in one set of references. For image production it offers batch generation across many scenes at once, the ability to regenerate a single scene without redoing the whole batch, retry controls, and saved prompt presets. If the browser crashes or a generation fails partway through, it keeps a history and can restore or back up your work. On the video side, it adds a similar multi slot workflow specifically for Google's Veo video generation model, including image guided generation and a way to continue an existing clip. To install it, you download a protected ZIP file from the project's GitHub releases page, rather than GitHub's automatically generated source code archive, verify its checksum, extract it, and then load it as an unpacked extension in Chrome's developer mode. You then connect it to your own Google Cloud project and a Cloud Run backend you deploy yourself, since actual generation costs are billed to your own Google Cloud account. The tool is available with a user interface and tutorials in Korean, English, Japanese, and Simplified Chinese, and the README includes troubleshooting guidance for common errors like permission problems, quota limits, and network connection failures.
A Chrome extension that manages batch image and video generation workflows on Google Cloud Vertex AI and Veo.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly general.
This repo across BitVibe Labs
double-check against the repo, no cap.