If your first output isn't quite right, adjust your prompt to be more specific, change inference steps for higher detail, or modify the reference images. The model learns from clear instructions, so iterative refinement usually yields better results. You can also generate multiple variations in a single batch (up to four images) to compare approaches. If the model consistently struggles with a particular edit style, consider switching to
Qwen Image 2 Pro Edit for more advanced understanding of complex prompts, or
OpenAI GPT Image 2 Edit for different architectural strengths. Each failed generation consumes credits, so test with lower inference steps first.