Show HN: Param forge, image gen TUI with rounds that improve settings (github.com)

Param Forge has emerged as an innovative terminal user interface designed for efficient text-to-image generation across multiple AI providers. This tool allows users to iterate quickly on prompts, sizes, and seeds while maintaining a comprehensive record of their inputs and parameters, all saved alongside the generated images. With support for Python 3.10 and various provider SDKs like OpenAI, Gemini, and Flux, users can seamlessly set up and run experiments tailored to their requirements, making it easier to compare output from different models. The significance of Param Forge lies in its ability to streamline experimentation for AI/ML practitioners, enabling a more organized and reproducible workflow in image generation tasks. The introduction of a council analyzer feature further enhances its capabilities by aggregating insights from multiple models, inspired by Andrej Karpathy's LLM Council approach. This allows users to synthesize recommendations based on comparative feedback from different AI sources, although it may require additional time and resources. Overall, Param Forge not only enhances productivity for developers but also promotes a deeper understanding of how varying parameters and models can impact image generation outcomes.