If the output doesn't align with your expectations, start by refining your prompt with more specific details about composition, lighting, and subject characteristics. Adding concrete descriptors like "close-up," "wide-angle," or "soft focus" can significantly improve accuracy. Also ensure your prompt uses clear, unambiguous language—the model interprets literal descriptions better than metaphors or cultural references. If issues persist, try alternative models:
WAN 2.7 Pro Text to Image offers different stylistic interpretations, while
Bytedance Seedream v5 Lite Text to Image may handle certain prompt types more effectively. Remember that text-to-image AI is probabilistic, so generating 2-3 variations often helps you identify what works best for your specific creative direction.