Best for consistent character sheets: Midjourney or Leonardo AI?

Short answer / recommendation
If your primary goal is strict, repeatable character identity across dozens of turnarounds and expression sheets, go with a fine‑tunable Stable Diffusion–style workflow (Leonardo-style custom models or DreamBooth on an SD host). If you want top-tier artistic polish and are okay re-tuning prompts per batch, Midjourney is better for exploration but will be harder to guarantee exact identity across many variations.

Why — decision criteria
- Determinism & seed control: Leonardo and SD-based toolchains give stronger, explicit seed control and model fine-tuning options. Midjourney has a --seed parameter but results vary by model version and MJ’s stylization can drift.
- Custom model training: Leonardo (and SD/DreamBooth) lets you train a dedicated character model so every prompt produces the same person. Midjourney does not provide public fine-tune training for private character models (it relies on prompt engineering and image-prompts).
- Batch and inpaint workflows: Leonardo gives easier image-to-image/inpainting pipelines and model management; SD+ControlNet workflows are also ideal for consistent poses and turnarounds. Midjourney is fast for single-shot art but less flexible for deterministic pipelines.
- Output polish vs control: Midjourney usually wins on painterly aesthetics out of the box; Leonardo/custom SD gives more reproducible identity for production work.
- Budget & skill: custom model training has costs (compute or paid UI features) and a small learning curve. Midjourney subscription is cheaper and easier to use immediately.

Practical checklist to get predictable character sheets
1) Pick your path: custom model (Leonardo / DreamBooth on SD) for repeatability, or Midjourney for visual exploration with heavy prompt templates.
2) Gather references: 10–20 high-quality, multi-angle reference images for DreamBooth/custom model; consistent lighting/background helps.
3) Lock a model & version: once satisfied, freeze to that model/version and never switch during the project.
4) Create a prompt template (camera, lens, costume, color palette, expression token) and store it in a sheet.
5) Use deterministic seeds: record the seed value for each pose/variation. For SD-based tools, use the same seed + small param changes. For Midjourney, use --seed and low stylize (--s low).
6) Use image-to-image or ControlNet for pose/turnaround anchors — generate a neutral turnaround then reuse as the base for expressions.
7) Batch generate with controlled randomness: reduce noise/chaos and use negative prompts to remove drift.
8) Inpaint for final fixes (eyes, mouth) rather than re-generating whole image to preserve identity.
9) Catalog outputs (seed, prompt, model version, notes) so you can reproduce or iterate later.

Best-for / Avoid-if
- Best-for Leonardo / SD custom models: projects requiring a single consistent face across many variants (character sheets, productized assets, episodic usage).
- Avoid Leonardo/custom route if you have zero budget/technical time — training and dataset prep cost time and sometimes money.
- Best-for Midjourney: fast, high-quality creative exploration and stylistically rich turnarounds where exact pixel-level identity is less critical.
- Avoid Midjourney if you must reproduce the exact same character across dozens of permutations with minimal manual cleanup.

Final note (budget/team)
If you’re solo and need speed/beauty: start in Midjourney for style exploration, then move to a custom SD/Leonardo workflow to lock identity for production. If you have budget, train a custom model early — it pays off when you scale to dozens of expressions.

If you want, I can draft a prompt template + seed-management spreadsheet tailored to your turnaround naming and camera conventions.

Compare Midjourney and Leonardo AI