Common issues like blurriness, distortion, or off-target results usually stem from vague prompts, incorrect strength settings, or insufficient inference steps. First, refine your prompt with specific details: instead of 'make it better', use 'enhance lighting with warm sunset tones and sharpen facial features'. Add comprehensive negative prompts targeting known artifacts like 'blurry, distorted, low quality, artifacts'. If results are too different from your input, lower the strength value to 0.5-0.6. Increase inference steps to 70-100 for complex transformations. If problems persist, try switching schedulers—DPM Solver Multistep often resolves quality issues where Euler Discrete falls short. For persistent challenges with specific image types, compare results with
FLUX 2 Dev Edit or
Qwen Image 2 Pro Edit, which may handle your use case differently.