• Image Count: 6,000+ real portrait photographs

• Training Duration: Approximately 720 hours

• Total Iterations: 500,000+ iterations

This model is a full-parameter fine-tune of QWEN-IMAGE. A minimum of 48GB VRAM is recommended, but FP8 precision mode is supported for lower memory usage. For optimal results, try using a workflow that employs a base sampler followed by a secondary high-resolution upscaling step.

When you need to reverse-engineer or generate descriptive prompts from an image, please use the Qwen3-VL-8B-Instruct model