Short answer / recommendation

For photoreal apparel on real-looking models: use Leonardo.ai when your priority is repeatable, catalog-grade fabric detail and accurate product representation; use Midjourney when you want premium editorial mood, dramatic lighting and more artistic control over atmosphere. In practice many teams mix both: prototype and moodboards in Midjourney, then produce final catalog / SKU shots in Leonardo (or vice‑versa) depending on which engine yields better fabric + pose fidelity for that garment.

Why (decision criteria)

- Fabric detail & texture: Leonardo tends to produce crisper, more consistent close-up weaves, seams and specular highlights when you give it reference fabrics and inpainting masks. Midjourney can get beautiful lighting and grain but may smooth micro-weave or add painterly artifacts unless heavily engineered.
- Pose & identity consistency: Leonardo’s image-conditioning and finer img2img/inpainting controls make it easier to keep the same model across poses. Midjourney can match looks via reference images and seeds but is less deterministic.
- Brand consistency & color accuracy: Both need a controlled workflow — reference palettes, LUTs, and color-check passes. Leonardo often requires fewer retouches for product-accurate color when using strict prompt templates and reference swatches.
- Speed, cost & iteration: Midjourney is fast for mood iterations; Leonardo can be more efficient at producing many similar catalog shots if you use templates and automated batch rendering.

Best-for / Avoid-if

- Best for Leonardo: product catalogs, flat/close-up fabric shots, consistent model identity across many poses, and teams that need deterministic outputs.
- Avoid Leonardo if: you need a stylized editorial aesthetic or dramatic art direction that leans toward painterly outcomes.
- Best for Midjourney: hero/editorial images, non-standard lighting, creative direction and storytelling.
- Avoid Midjourney if: you need pixel-perfect color/fabric reproducibility across 100s of SKUs.

Practical checklist (quick workflow to maintain brand consistency)

1) Gather references: 8–12 model reference photos (faces/poses), fabric close-ups, fit photos, brand color palette, logo files, and a sample LUT.
2) Create a prompt template: include camera (e.g., 85mm f/1.8), lighting (softbox key, rim light), material descriptors (tight cotton twill, 2-ply merino, satin sheen), actions/pose, composition, and explicit color hex. Save negative prompts (no painterly, no deformed hands).
3) Fine-tune or build an asset: train a LoRA/DreamBooth for your brand model and branded garments if you need identity consistency.
4) Use image-to-image or pose-transfer: map reference pose → target, mask garment for inpainting adjustments. Use consistent seeds.
5) Batch render variations: same seed + small randomization for natural variety.
6) Post-process: apply brand LUT, check color against swatch, fix seams/labels in an editor, run QC checklist (fit, logo placement, shadow realism).
7) Maintain a prompt & preset library and document which seed/prompt combos created each final image.

When the right answer depends

Budget & team skill: if you have a small team and need high-volume accurate images, Leonardo’s image-conditioning + batch workflow is often cheaper per SKU. If you have art direction resources and want standout hero shots, invest time in Midjourney prompts.

Tool tip: use ChatGPT to draft and iterate consistent prompt templates and to convert technical brand specs into concise prompt language.

If you want, share 2–3 sample reference images (model + fabric) and I’ll draft a tested prompt template and a short checklist tuned to your exact garments.

Compare Midjourney and Leonardo AI