<ul><li>Image Count: 6,000+ real portrait photographs</li><li>Training Duration: Approximately 720 hours</li><li>Total Iterations: 500,000+ iterations</li></ul><span style="background-color:rgb(21, 21, 23);color:rgb(249, 250, 251);font-family:quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Oxygen, Ubuntu, Cantarell, &quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif;font-size:16px">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.<span style="background-color:rgb(21, 21, 23);color:rgb(249, 250, 251);font-family:quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Oxygen, Ubuntu, Cantarell, &quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif;font-size:16px">When you need to reverse-engineer or generate descriptive prompts from an image, please use the Qwen3-VL-8B-Instruct model

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