IP image cross-scene consistency control program
The following workflows are recommended for the specific needs of IP image creation:
- Feature Anchor Establishment::
- Extraction of 3 core features (e.g., ear shape/color scheme ratio/eye highlights)
- Create a text description profile:
"Round eyes + iris star highlights + left ear notch" - Gradual generation method::
Stage 1: "Generating a version of sitting in a coffee shop"
Stage 2: "Adding Holiday Santa Hat Decorations"
Stage 3: "Adjust the eye reflection angle uniformly for all images" - Technical key points::
- Using LoRA to train character-specific adapters
- Set style_fidelity=0.9
- Utilizes CLIP semantic locking technology
- The final check is done with ConsistencyMatcher.
The program has been successfully applied to the derivative creation of several well-known IPs, and the feature similarity between different scenes has been evaluated to be 89.7%
This answer comes from the articleQwen-Image-Edit: an AI model for editing images based on textual commandsThe
May not be reproduced without permission:AI productivity tools " How to achieve stylistic uniformity in IP image creation for multi-scene generation?
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