Bagel Image Editor excels at maintaining realistic lighting consistency when making edits, automatically adjusting shadows, reflections, and color temperature to match new elements. For example, when changing a background from indoor to outdoor, the model intelligently adapts subject lighting to match natural sunlight rather than creating jarring mismatches. However, extremely complex lighting scenarios—like adding objects with intricate cast shadows or reflections—may benefit from enabling thought tokens for enhanced reasoning. If lighting adjustments are your primary goal rather than object replacement, consider
Qwen Image 2 Edit, which offers strong color grading and atmospheric controls through natural language prompts focused on mood and tone rather than structural changes.