Short answer
For strict e‑commerce photorealism and predictable color, lean on a real-photo + controllable editor workflow and use Leonardo AI for production-scale masked edits and variant generation. Use Midjourney selectively for creative/hero shots where absolute color fidelity is less critical.

Why (practical summary)
- Color accuracy: Neither generator is a color-managed camera replacement. AI models output in RGB and can shift hues or saturation. Leonardo gives more consistent, studio-style editing controls for small, controlled edits; Midjourney can produce very convincing photorealism but is less predictable for precise color matches.
- Masks & references: Leonardo’s canvas/editor and inpainting tools are built for targeted masked edits and re-renders per asset. Midjourney supports image prompts and inpainting, but its masking control is coarser and not ideal for pixel-perfect background replacement or color-restricted edits.
- Scale & automation: Leonardo’s tooling and workflow features (and available export/automation options) are generally friendlier for catalog pipelines. Midjourney works well for single or creative batch explorations but has limited programmatic workflows for high-volume cataloging.

Recommendation
If your primary constraints are color fidelity, reproducibility, and throughput: use studio photography as base + Leonardo AI for masked edits, background replacement, and variant generation. Reserve Midjourney for stylized hero imagery or when you need a quick set of creative concepts.

Decision criteria (use these to pick)
- If you must hit exact brand/print color targets: keep real-photo capture and postprocess in color-managed tools; use Leonardo only for non-critical variant work.
- If you need programmatic, high-volume generation and masking: prefer Leonardo (better editor/API & workflow).
- If you want creative, noncritical photorealism at lower cost and rapid iteration: consider Midjourney.
- Team skill: small teams benefit from Leonardo’s GUI masking; larger studios with retouchers can mix both.

Best-for / Avoid-if
- Best for Leonardo: reliable masked edits, background swaps, consistent product shots and batch variant generation. Avoid if you need purely stylized, painterly hero images.
- Best for Midjourney: quick hero renders and creative variations. Avoid if you need pixel-perfect color matching or fine mask control.

Practical checklist for large catalogs (pipeline)
1) Calibrate: capture a color target (ColorChecker), document camera/settings and lighting for each SKU. Keep a “golden” reference image per product.
2) Base photo: capture neutral, RAW images for geometry and texture.
3) Template prompt & metadata: create prompt templates with fixed camera (focal length), lighting (softbox/three-point), and material descriptors; store SKU placeholders.
4) Masking step: use Leonardo’s editor/inpainting to mask background and do targeted edits (crease removal, shadow harmonization). Export masks per SKU.
5) Batch generation: run controlled runs (seeds) to produce variants (colors, views) via API/automation.
6) Color pass: soft-proof and match colors in Lightroom/Photoshop with ICC profiles; measure deltaE against reference and iterate.
7) QC: sample every nth SKU; automate visual checks (histogram, color distance) and human spot checks.
8) DAM & metadata: save JPG/TIFF, mask layers, source prompt, seed, and color report with each SKU record.

Notes on budget & team
- Small team/low budget: expect more manual QC and postprocessing; Leonardo’s editor pays off.
- Large studio/high volume: invest in API automation and a color-check stage; consider hybrid human+AI pipeline.

If you want, I can draft a prompt template + masking SOP tailored to your camera/lights and a simple batch script outline using Leonardo AI’s export workflow.

Compare Leonardo AI and Midjourney