Summary of Diffagent: Fast and Accurate Text-to-image Api Selection with Large Language Model, by Lirui Zhao et al.
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model
by Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji
First submitted to arxiv on: 31 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Text-to-image (T2I) generative models have seen significant attention and applications. The Civitai community hosts an impressive 74,492 distinct models, but this diversity presents a challenge in selecting the best model and parameters. Drawing inspiration from large language model (LLM) research, we introduce DiffAgent, an LLM agent that screens accurate selections via API calls in seconds. It leverages a novel two-stage training framework, SFTA, to align T2I API responses with user input according to human preferences. We present DABench, a comprehensive dataset covering various T2I APIs from the community. Evaluations reveal DiffAgent’s excellence in identifying the best T2I API and underscores the effectiveness of SFTA. This work contributes to improved T2I model selection for users. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about helping people choose the right image-generating models. There are many different models, which makes it hard to pick the best one. The authors created a new tool called DiffAgent that can quickly find the right model and parameters by looking at how well other models match what users want. They also made a big dataset of images from different models so they could test DiffAgent. The results show that DiffAgent is very good at finding the right model and helps people use image-generating models more easily. |
Keywords
» Artificial intelligence » Attention » Large language model
