Product Photoshoot Workflow

Product Photoshoot Workflow

Turn one product reference photo into a brand-ready set of 4 distinct images, each emphasizing a different sales angle.

When to trigger

• User uploads a product photo and says "make e-commerce images", "design a campaign", "I need product shots"
• User says 电商产品图 / 产品多角度图 / 产品拍摄 / 产品营销图
• Anyone asking for "a set of product images" with a reference attached

Prerequisites

1. A reference image is required — the user MUST provide a product photo (URL or local path). If they have not, ask once: "Please share the product photo you want me to work from." Do NOT try to invent a product without a reference.
2. Confirm provider is configured (any of MeiGen / OpenAI-compatible / ComfyUI). If not, hand off to /meigen:setup.

The 4 directions

Always plan exactly 4 directions in this order. Present as a table to the user and ask which to generate(per UX Rule 8 — always confirm before batch). Include "all four in parallel" as an option.

Generation flow

1. Read user intent — product type, brand mood (luxury? playful? minimalist?), color palette. Use search_gallery(category="Product & Brand") if you need style references; 239 curated examples are available.
2. Plan and present — write the 4 prompts (distinct, not just one tweaked four ways) and show them to the user. Each prompt MUST:
   • Reference the input image's product
   • Specify the direction's intent (lifestyle / macro / scale / marketing)
   • Include lighting direction
   • Mention material handling if relevant (matte, glossy, translucent, metallic)
3. AskUserQuestion — "Pick directions to generate. All four runs ~4 parallel agents — confirm?"
4. Generate in parallel — for the directions chosen, spawn meigen:image-generator agents in a single response, each passing the reference image as referenceImages and the planned prompt. Omit aspectRatio unless the user pinned one — describe the ratio in the prompt instead so each direction gets its own framing.
5. Present results — Image URL + saved path for each, grouped by direction label. Do NOT describe the generated images (UX Rule 1).

Prompt templates (starting points — adapt to the actual product)

Lifestyle Scene:

"[product description from reference], placed in [natural context appropriate to product], soft golden-hour daylight from upper left, shallow depth of field, lifestyle editorial photography, 4:3 horizontal composition."

Macro Detail:

"Extreme macro close-up of [product] showing [material — leather grain / metal brushed finish / liquid translucency / etc.], dramatic studio side-lighting, sharp focus on texture, 1:1 square frame, commercial product photography."

Scale / Context:

"[product] on a clean white marble pedestal with [comparison object — e.g., a human hand reaching in / a fresh orange / a small notebook] for scale, even diffuse light, neutral background, professional product catalog photography, 4:3 horizontal."

Marketing Layout:

"[product] positioned in the right third of the frame, large negative space on the left for headline copy, bold color-block background in [brand-appropriate color], dramatic side lighting, magazine campaign style, vertical 3:4 composition."

Iteration

After the first batch:

• If user likes one direction → offer "extensions" (different angles of the same direction, color variants, seasonal versions)
• If a direction misses → ask what to change (mood / palette / placement) and regenerate ONLY that one
• Never silently regenerate — every retry is explicit

What to skip

• Don't try to "remove background" or "add text" via generate_image — those are post-processing steps the user does separately
• Don't pick the cheapest model to save credits (UX Rule 5 — default to quality)
• Don't add MidJourney --ar or other flags in the prompt — pass aspectRatio parameter when needed