Midjourney vs Leonardo for apparel mockups

Short answer
For repeatable apparel mockups (consistent poses across SKUs + accurate fabric texture) Leonardo.ai will usually give you fewer manual edits and better prompt-to-result consistency for a production workflow. Midjourney can make richer hero/artistic visuals, but is less deterministic for repeatable, batchable mockups.

Recommendation
Use Leonardo.ai as the primary mockup engine for SKU families. Reserve Midjourney for brand-style hero shots or when you need a highly stylized finish that you’ll composite into product pages.

Why I recommend Leonardo (practical reasons)
- Pose control and consistency: Leonardo’s image-to-image, inpainting, and layer/asset workflows make it straightforward to lock a base pose and swap fabrics or colors with minimal drift. You can create a “pose master” asset and reuse it for every SKU.
- Batch and variations: Leonardo supports batch generation, prompt sets, and repeatable seeds more directly for production runs—so fewer manual edits per SKU.
- Fabric fidelity: Leonardo workflows let you feed close-up texture references and apply them predictably (inpainting or texture overlays), producing repeatable material appearance across variants.
- Fine-tuning: If you need extreme fidelity, Leonardo supports private model uploads / LoRA-like assets to learn your brand’s drape/textile look.

When Midjourney makes sense
- Best-for: stylized lookbooks, hero banners, and when the highest “artistic” rendering quality is priority.
- Avoid-if: you need pixel-for-pixel reproducibility across dozens/hundreds of SKUs or you want predictable, batchable swaps.

Decision criteria (use these to choose)
- Need for reproducibility across many SKUs: Leonardo wins
- Need for ultra-creative or highly stylized visuals: Midjourney wins
- Budget / throughput: Compare subscription tiers—Leonardo’s batch tools can reduce per-SKU time, justifying cost for larger catalogs
- Team skill level: Leonardo’s UI + inpainting is more production-friendly; model training requires some ML know-how if you go that route
- Workflow stage: concept/proofing (both OK); final SKUs for e-commerce (Leonardo preferred)

Practical checklist to set up a consistent mockup pipeline
1) Capture or create base pose assets: photograph a mannequin or generate a high-quality pose and save as your “pose master.”
2) Create texture library: 4–6 close-up shots of each fabric (flat, folded, drape, inside/outside).
3) On Leonardo: use image-to-image with the pose master, apply texture reference, lock seed and use same prompt template for each SKU. Use inpainting to swap only the garment area.
4) Run small batch for each color/pattern variant; inspect and iterate on negative prompts to remove unwanted artifacts.
5) Export final images and do minimal touch-ups (seam correction, fine shadows) in Photoshop if needed.
6) If recurring issues appear, train a small LoRA/custom asset on 20–50 examples to lock fabric rendering.

Avoid-if and caveats
- Avoid Leonardo if you only need single inspirational images and prioritize the most painterly output—Midjourney will beat it there. Leonardo’s model-training and asset management carry upfront work; only worth it at scale.

If helpful, I can: draft a reusable prompt template + negative prompt for Leonardo and a checklist for training a small LoRA. For quick prompt templates you can also use ChatGPT to generate variations and a prompt-set for batches.

Compare Midjourney and Leonardo AI