SD3-univeral beta β
Continuing training from beta alpha
SD3-univeral beta α
The model fine-tuning training was completed on SD3medium-2B, using a dataset of approximately 50,000 real photographs for multiple rounds of full fine-tuning.
optimized the oversaturation issue and strange stripe problem that existed in SD3-2B ,
extremely realistic images with rich levels of detail
can generate photos with high color dynamic range and excellent light-shadow relationships.
For prompts, please use natural language descriptions. It is recommended to use the prompt expansion feature in the tensor workbench, as simple tags cannot generate high-quality images.
