Run a quality-control check on a generated image and return a structured verdict.

Call this immediately after generating an image, before showing it to the user.

Parameters:

• image_path: Absolute path to the generated image to review.

• reference_images: Optional list of reference image paths to compare against (e.g. character/style references). Up to 3 are used.

• character_rules: Free-text rules the image must follow, e.g. "The pilot has NO eyebrows; the jacket has horizontal stripes."

• style_notes: Free-text description of the expected visual style.

• scene_type: One of solo, portrait, battle, combat, group, action, interview. Adjusts composition expectations (e.g. portraits may face camera).

• pass_threshold: Minimum overall score (0-1) to pass. Default 0.7.

Returns a dict with: passed (bool), overall_score, character_accuracy, style_consistency, quality_score, composition_score (all 0-1), issues (list of {severity, category, description, recommendation}), should_regenerate (bool), notes, and model.

List the supported scene_type values and what each one expects.