reject-output

Categorizing image generation failures helps pinpoint the real driver of rejection by classifying issues into prompt, workflow, provider, LoRA, dataset, quality, or composition categories, turning rejections into structured searchable failure records.

Yes, you can revoke a problematic LoRA during image generation failure handling. When a LoRA-related failure is categorized, the system automatically revokes the candidate LoRA to prevent further issues and suggests a targeted retry path.

You can categorize image generation rejections by applying standardized failure categories like prompt, workflow, provider, LoRA, dataset, quality, or composition. This records the rejection reason and captures the failure cause in memory for future prevention.

Yes, rejection handling updates persistent memory by writing failed-pattern entries into the system memory. When you reject an image output, the failure pattern is recorded for later avoidance and troubleshooting.

Yes, rejection handling suggests a category-specific retry path for failed image jobs. After categorizing the failure and optionally revoking a LoRA, it moves the job to a failed state and produces a confirmation with a retry suggestion.