Best practices for great results

PackScene's quality is almost entirely a function of the input packshot and the choices you make at run time. This page collects the patterns that consistently produce clean, on-brand output across thousands of generations.

Packshot quality

The output cannot exceed the input. A blurry, cropped, badly-lit packshot produces a blurry, off-shape, badly-lit AI image. Before you batch-generate:

• Use high-resolution images. At least 1000x1000 pixels.
• Show the full garment. Sleeves, hems, hoods, straps, collars all visible.
• Pure background. White or very pale grey gives the cleanest output.
• Even lighting. No strong shadows, no glare, no color cast.
• No hands or arms in frame. Use a ghost mannequin or flat lay.
• Steam first. Wrinkles and folds get baked into the AI output as if they were design choices.

If you wouldn't put the packshot on the product page as-is, it's probably not good enough for PackScene either.

Clothing-specific tips

• Include both front and back for items with back-side detail (prints, vents, embroidery, open backs). Front alone is fine for plain-back basics.
• Flat lay or mannequin both work. Mannequin gives slightly better drape and is the safer default.
• Keep proportions accurate. Stretched, pinned, or distorted packshots produce stretched, pinned, distorted AI output.

Model and framing selection

• Pick gender that matches the target customer. Don't run womenswear on a male model just because it's available.
• Pick framing that matches the product. Upper body for tops. Lower body for pants. Full body for dresses, jumpsuits, coats, swimwear.
• Be consistent within collections. Don't mix framings inside one collection. The storefront feels off.

Workflow patterns that actually work

Validate before you scale

The single highest-ROI habit: run five to ten hero products first, look at them on a real product page (or even just open them in two browser tabs), and decide whether the look works for your brand. Then commit credits to the long tail.

Batch by category, not collection

If you sell tops and pants in the same "Spring 2026" collection, run them as two separate PackScene jobs - one upper-body batch for the tops, one lower-body batch for the pants. Mixing framings in one run forces a single framing choice that's wrong for half the products.

Use regeneration for fixes, not retries

Regeneration credits are for fixing one product that came out off. They're not for "let me try again" on a product that's fine but you want a different vibe. If you want a different vibe, change framing or gender and start a new run.

Position strategically

Most apparel stores look best with model first, packshot second. That means image position = "Before existing images" on most runs. Test the alternative if your brand is studio-photography-first, but the default works for almost everyone.

Keep originals

PackScene model images supplement your packshots. They don't replace them. Customers want to see the actual product, especially color and texture. Keep both, with the AI image as hero.

Credit optimization

• Plan before generating. Decide framing, gender, and which products to include before you click. Re-checking the list saves credits.
• Use free edits wisely. Regeneration credits are for refinements, not full re-runs.
• Start with hero products. Generate best-sellers first to validate the look.
• Don't generate "everything". Generate your top 20% by revenue. They drive 80% of the storefront impressions.

Common mistakes to avoid

• Low-resolution or cropped packshots. Garbage in, garbage out.
• Mixing framing within a collection. Storefront looks inconsistent.
• Publishing without reviewing back views. The back is generated after the front and can sometimes drift - always look before publishing.
• Choosing a format that fights your storefront layout. Most Shopify themes assume square or 4:3 images. PackScene outputs square (2000x2000), which is the safe default.
• Regenerating without changing anything. Generative models have natural variance, but if your packshot is the same and your settings are the same, you're rolling the dice on a small variation. Change the framing or use a different packshot for meaningful differences.

Quick checklist before generating

• Packshots are high resolution, full garment, clean background.
• Gender and framing fit the collection.
• Image position picked (before or after existing media).
• Front (and back if applicable) marked on every product in the run.
• You have enough credits in the current cycle.
• You're ready to review every output before publish.