E-commerce Product Photography: 2K Studio Quality for Skincare Bottles

Using the high-fidelity path of qwen-image-2.0-pro, this piece demonstrates an approach to generating e-commerce hero-image-level product photography: a five-part prompt structure of "subject—material—lighting—background—lens" locks down the composition, while negative prompts suppress common flaws (plastic look, dirty spots, garbled text). This work uses only the input parameters declared by the author's pipeline: prompt, negative_prompt, size, seed, prompt_extend, watermark. The size is set to a 1728*2368 vertical composition, close to the aspect ratio of e-commerce detail pages and mobile first screens; a fixed seed makes reproduction and comparison tuning easy. The model natively supports higher-resolution output (the size limit on this pipeline is constrained by total pixels), so details such as highlights on glass and metal and silkscreen printing on the bottle are preserved in the first pass. Use cases: e-commerce hero images and detail-page visuals, product concept drafts, material and lighting comparison experiments. The background and light positions are deliberately described realistically in the prompt so the same template can be transferred to different product categories; if text within the image is needed, it is recommended to spell it out character by character in the prompt and manually verify it before delivery.