Short answer / recommendation
If your priority is speed, repeatable brand-safe templates and cross-team collaboration, pick Canva AI. If you need higher-fidelity, fully custom renders (photoreal or stylized) and fine-grained control over lighting/scene for a moderate volume of SKUs, pick Leonardo AI and automate with batch prompts. The right choice depends on budget, visual fidelity required, and how much time you can invest in prompt engineering.

Why (quick comparison)
- Canva AI: Built-in template system, brand kits, easy bulk-apply of logos/labels, exports and simple team permissions. Turnaround for single mockups is fastest (minutes); scale to many SKUs with template duplication and CSV-based bulk replace. Lower learning curve; weaker for very custom photoreal renders.
- Leonardo AI: Stronger control over image generation parameters, better for photoreal/creative variations and higher visual quality per SKU. Turnaround per image can be slightly longer and requires prompt tuning. Better for producing hero product shots or multiple styled scenes, less polished for template/asset management out of the box.

Decision criteria (use these to pick)
- Speed to first usable mockup: Canva AI
- Bulk/template-driven application of brand assets (CSV, design system): Canva AI
- Need photoreal or stylized high-fidelity renders per SKU: Leonardo AI
- Team of non-designers needing consistent outputs quickly: Canva AI
- Small team with someone who can prompt-engineer and do light retouching: Leonardo AI
- Budget sensitivity: Canva often cheaper for templates/team plans; Leonardo pricing varies by compute use

Best-for / Avoid-if
- Canva AI: Best for fast storefront / ad mockups, product label swaps, and social images. Avoid if you need photorealistic studio shots or unlimited fine-grain control over scene composition.
- Leonardo AI: Best for high-quality single-image renders, multiple artistic variants, and realistic lighting for hero images. Avoid if you need low-friction template application, or you lack time to iterate on prompts.

Practical checklist (two short workflows)
A) If you choose Canva AI (fastest template route)
1. Set up Brand Kit (colors, fonts, logos) and a master product template with placeholder for SKU label/image.
2. Create one perfect mockup and save as template. Export asset sizes you need.
3. Use CSV bulk upload or Canva’s batch replace (if available) to push product names/labels and images. Validate 10 samples.
4. QA for brand consistency, then export in required formats (PNG/PDF) and name files with SKU codes.
5. If slight fixes needed, use Canva effects or a 1–2 image batch to fix lighting.

B) If you choose Leonardo AI (higher fidelity/batch prompts)
1. Build a prompt library: base scene, lighting, camera angle, label placement instructions.
2. Test and iterate on 5 SKUs to lock prompts and a seed for consistency.
3. Use batch prompting scripts or the platform’s bulk tools to generate variants. Keep a retouch step for label alignment in Photoshop or Affinity.
4. Export at required resolution; keep a naming convention and metadata (prompt + seed) for reproducibility.

When to add ChatGPT
Use ChatGPT to generate prompt templates, CSV column mappings, and QA checklists quickly—especially helpful if you’re automating dozens or hundreds of SKUs.

Final tip
If you need both fast storefront mockups and occasional hero photography, use Canva AI as the front-line for bulk work and Leonardo AI for higher-end hero shots. That hybrid often gives the best ROI for small DTC brands.

Compare Leonardo AI and Midjourney