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1prompt1story
Overview :
1Prompt1Story is an innovative text-to-image generation technology that creates consistent image sequences from a single prompt without the need for additional training. It leverages the contextual consistency of language models to generate identity-consistent images by concatenating all descriptions into one prompt. The technology supports multi-character generation, spatial control image creation, and real image personalization, demonstrating broad application potential. This model targets creators and developers who require efficient and consistent image generation for storytelling, animation, and more.
Target Users :
This product is suitable for creators, animators, storytellers, and developers in related fields who need to efficiently generate consistent images. It helps users quickly produce coherent image sequences, saving time and effort while maintaining high-quality image output.
Use Cases
Story Creation: Generate coherent image sequences from a single prompt for comics or animated stories.
Character Design: Generate consistent images for multiple characters for game or animation character design.
Real Image Personalization: Combine with real photos to create personalized images with specific styles or scenes.
Features
Supports single prompt multi-frame image generation with maintained identity consistency.
Compatible with various text-to-image models without the need for additional training.
Supports multi-character generation, ensuring good identity consistency for each character.
Utilizes ControlNet for spatial control in image generation.
Combines with methods like PhotoMaker for personalized real images.
Robust to the sequence of frame prompts, generating images with unified identities.
Generates diverse backgrounds through seed variations while maintaining identity consistency.
Supports long story generation and integration with different foundational models.
How to Use
1. Prepare identity prompts and frame prompts, and combine them into a single unified prompt.
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2. Input the combined prompt into a supported text-to-image model.
3. Apply Singular-Value Reweighting (SVR) and Identity-Preserving Cross-Attention (IPCA) techniques to optimize the generation process.
4. Generate images, adjusting parameters as needed to achieve better consistency.
5. Optional: Integrate tools like ControlNet or PhotoMaker to implement advanced features like spatial control or personalized real images.
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