wan2.7-image-standard E-commerce Product Photography Texture Output

Using wan2.7-image-standard to demonstrate how to organize prompts for e-commerce-grade product images: take a simple product subject reference image as the anchor for material and structure, then use the prompt to lock in studio lighting, background material, camera height, and color relationships, so the output maintains a reusable commercial photography texture. The author's pipeline parameters include prompt, resolution, aspect_ratio, and reference images (up to 9). This piece uses only one reference image, used to fix the product shape, with all other composition information left to the text description; after uploading a reference image the frame follows the reference image, so aspect_ratio only serves as the default setting for detail page display and scenarios without a reference image. The prompt approach is split into four layers: subject and material (the boundary between matte and metal), lighting (key light direction + rim light + softbox), environment (seamless background and contact shadow), and output constraints (no text, no extra props, shallow depth of field). This layered approach makes it easy to replace items one by one during batch image generation, suitable for early exploration of product main images, detail page hero images, and social media advertising assets, and can also serve as a single-image baseline in multi-reference fusion workflows.