In addition, ComfyUI has built-in optimization functions that can skip unnecessary repeated calculations and improve process execution efficiency.
Stable Diffusion is a Transformer-based GAN model released in 2022 that can generate high-quality images.
Its features include:
Based on CLIP (image-text model) training, conditional generation can be performed using natural language
Low training cost, only 4 million unauthorized images are needed for training data
High generation quality, high resolution images can be south korea mobile database generated
Supports multiple functions such as image restoration, image amplification, text to image, etc.
Supports content generation based on slider control
Stable Diffusion has become one of the most powerful open source generation models, with a huge user base. ComfyUI is a workflow tool built on Stable Diffusion.
ComfyUI's goals and application scenarios
The goal of ComfyUI is to provide a user-friendly, powerful Stable Diffusion workflow visualization and construction tool.
It is mainly used for:
Creative workers - designers, artists, etc. who create images
AI researchers - experimenting with various combinations of models
Image Processor - Automating the process
By building a workflow with ComfyUI, you can greatly improve your work efficiency and combine multiple models to obtain better generation results.