-
Notifications
You must be signed in to change notification settings - Fork 47
AIGC Generation-related models #2574
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: issue-1455-assets-gen
Are you sure you want to change the base?
Conversation
Summary of ChangesHello @nighca, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request establishes the foundational modeling for AI-generated content (AIGC) within the application. It introduces a structured approach to generating backdrops, costumes, and sprites by defining clear states and workflows for each asset type, from initial input to enriched settings and final generation. This integration aims to streamline the creation of project assets using AI capabilities. Highlights
Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Code Review
This pull request introduces models and mock API endpoints for AI-powered generation of backdrops, costumes, and sprites. The overall approach of using a state machine for the generation process is sound. However, there are a couple of critical issues related to incorrect or missing function calls that will prevent the code from compiling. Additionally, there is significant code duplication across the newly added model classes (BackdropGen, CostumeGen, SpriteGen), which presents an opportunity for refactoring into a more maintainable generic base class. I've provided specific comments and suggestions to address these points.
close #2571.