The generation elapsed time depends mainly on three variables:
- cue word complexity: Descriptions with more than 5 elements require an additional 20-40% processing time
- Style Type: Realistic styles consume on average 15% more computing resources than cartoon styles
- network environment: It is recommended to maintain a bandwidth of 50Mbps or more for the best experience.
Optimization tips include:
- Split complex requirements into multiple simple prompts generated in batches
- Prioritize "style-less" base models for faster responses
- Use Chrome/Firefox and other browsers that support WebGL 2.0.
- Avoid operation during peak hours (20:00-24:00 UTC time)
The platform is deploying edge computing nodes and expects to achieve a global average generation speed of 1.5 seconds in 2024Q3.
This answer comes from the articleRaphael: Free and unlimited image generation with FLUX.1-DevThe
May not be reproduced without permission:AI productivity tools " What factors affect Raphael's image generation speed? How to optimize the generation efficiency?
