The Working Approach
Baoyu Image Gen exposes a script-based interface for image generation across several providers. The reviewed source supports prompt files, explicit output paths, aspect ratios, reference images and batch manifests. Provider selection, model configuration and endpoint dialects are separated from the creative brief.
This distinction matters when the same saved prompts need to be rendered consistently or resumed as a batch. Reference support and sizing rules vary by provider, and the source reports per-image success or failure rather than treating a batch as one undifferentiated result. Its documented model list is a versioned implementation detail, not a promise of current account access or universal feature parity.
Expected Deliverables
- Image files generated from saved prompts or a batch manifest
- Per-image completion and failure results
- A recorded provider, model and output configuration for the run
From Brief to Review
- 01Configure the Real Backend
Choose a supported provider and available model, verify credential type and clarify size, quality and reference-image requirements.
- 02Prepare Reproducible Jobs
Save prompt files and assign output paths. For a batch, keep each item's references and parameters explicit.
- 03Run with Bounded Throughput
Use the configured concurrency and retry policy, inspect returned images and report failures individually rather than silently changing providers.