Practical tips to improve the quality of image editing
Ways to optimize the effects of image editing using Janus-4o:
- Input Preparation: Ensure that the original image resolution is moderate (512 x 512 or higher recommended)
- Cue word optimization: Use specific and explicit editing instructions, e.g., "Replace blue sky with dark clouds before a storm."
- parameterization::
- Set temperature=0.7-1.2 to control creativity
- Adjust cfg_weight (recommendation 3-7) to balance cue word relevance
- many iterations: Global editing before local refinement
- Reprocessing methods: Optimize the output by combining traditional image processing techniques
Advanced Tips:
- Enhanced control with add-on modules such as controlnet
- Evaluate the match between the original image and the text using a model such as CLIP before editing
This answer comes from the articleShareGPT-4o-Image: an open source multimodal image generation datasetThe
May not be reproduced without permission:AI productivity tools " How to optimize the effect of text description based image editing?
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