prescription
To resolve role identity inconsistencies, the following methods can be used:
- Use the 1Prompt1Story tool:The project ensures character uniformity from the underlying algorithm through singular value reweighting and identity preserving cross-attention techniques. After installing the tool, simply describe the character features clearly in the input prompt and the system will automatically maintain the uniformity of that character in multiple images.
- Optimize cue word structure:Use the format "[Character Name] + Detailed Characterization" in the prompt, e.g. "A girl named Alice with long blonde hair, blue eyes, and a red dress". The system will encode these characteristics as stable identifiers.
- Enable Consistory+ benchmarking:The tool comes with a set of 200 hints to help validate the generation, and the user can refer to its 8 superclasses for the way the hints are constructed
- Combined with ControlNet guidance:Activate the ControlNet module to stabilize the character when precise control of poses or scenes is required
In practice, it is recommended to 1) test the effect through Gradio online demo first; 2) for commercial projects, it is recommended to use the personalized generation function for fine tuning.
This answer comes from the articleOne-Prompt-One-Story: Text Prompts Generate Character Identity Consistent ImagesThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of inconsistent character identity in text-to-image generation?
