Updated: Dec 1, 2025
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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