baoyu-image-gen

AI image generation across multiple providers uses an orchestration layer to call OpenAI, Google, and DashScope from a single prompt. It applies to text-to-image scenarios and requires valid provider API keys to execute sequentially or in parallel.

Reference image conditioning allows you to influence the final output by supplying an existing image alongside your text prompt. This feature is supported across the integrated providers to guide the visual generation process.

Aspect ratio and size controls manage the output dimensions of your generated AI images. You can specify exact aspect ratios within your prompt, with the system executing sequentially by default or utilizing a parallel mode upon request.

API keys for each specific provider are required to perform text-to-image generation. You must configure credentials for OpenAI, Google, or DashScope within your environment before the orchestration layer can call them.

Batch AI image generation can be automated using a local CLI script. Integrating with a local script enables automated generation workflows, processing multiple prompts and reference images without manual intervention.

Multi-provider AI image generation distinguishes itself by routing prompts to OpenAI, Google, and DashScope through a single orchestration layer. This approach allows comparative output generation and parallel processing rather than relying on a single model.