Improving image detail realism can be optimized in multiple dimensions:
- Cue word enhancement: add quality descriptors such as "ultra detail", "hyper realistic", etc., with specific detail requirements such as "individual eyelashes visible".
- parameterization: Increase CFG value from default 4 to 6-7 (but may reduce diversity), increase inference step to 80 steps
- Layered generation strategy: Mr. Mister into a low-resolution sketch and then refined by img2img
- Using super resolution: Enable the model's own 4x superscoring function to handle the final output
Tests have shown that combinations of words such as "cinematic lighting, 8k uhd, sharp focus" can result in a noticeable improvement in microscopic details such as skin texture.
This answer comes from the articleQwen-Image: an AI tool for generating high-fidelity images with accurate text renderingThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of detail distortion in Qwen-Image generated images?
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