Why does my AI character look different in every image?

Because prompt-only generation has nothing to anchor to. Build a reference set of the character from several angles and use a model that conditions on references — that is what stops the drift.

Which model keeps a character consistent in video?

Wan 2.7 R2V is built for it, taking up to 5 references of the same subject. Kling O3 Pro handles multi-subject scenes with per-element references, and HappyHorse 1.1 switches to reference mode with 2–9 images.

How many reference images do I need?

Three to five covering different angles is usually enough. Varied angles help more than many near-identical shots.

AI Character Generator

Design a character once and keep them consistent across scenes, shots and styles.

Start creating

What is an AI character generator?

Generating one good character image is easy; generating the same character twice is the actual problem. Prompt-only workflows drift — the face shifts, the proportions move, the outfit changes detail. The fix is reference conditioning: fix the design as a set of images and condition every subsequent render on that set. Floniks carries the models built for this, from multi-reference image editing through to reference-to-video that holds identity across a moving clip.

Models behind this tool

Every model listed here is already available on your account. Credit cost per render is read live from the model catalogue.

Seedream 5.0 Pro20 credits
Nano Banana Pro75 credits
Wan 2.7 R2V (Reference to Video)10 credits
HappyHorse 1.120 credits

What people use it for

Webtoon and manhwa production

Hold a cast consistent across hundreds of panels.

Game concept art

Explore a character across poses and outfits without redesigning them each time.

Serialised video content

Keep the same protagonist recognisable across episodes.

Brand mascots

One character, unlimited placements, no drift.

How it works

Design the character
Generate the base design, then render several angles. These become the reference set — the source of truth for every later render.
Condition new scenes on the references
Seedream 5 Pro takes up to 10 references. Kling O3 Pro handles several referenced subjects interacting in one scene.
Carry them into video
Wan 2.7 R2V takes up to 5 references and is tuned for holding a subject across a moving clip. HappyHorse 1.1 accepts 2–9 references in reference-to-video mode.

Frequently asked questions

Why does my AI character look different in every image?: Because prompt-only generation has nothing to anchor to. Build a reference set of the character from several angles and use a model that conditions on references — that is what stops the drift.
Which model keeps a character consistent in video?: Wan 2.7 R2V is built for it, taking up to 5 references of the same subject. Kling O3 Pro handles multi-subject scenes with per-element references, and HappyHorse 1.1 switches to reference mode with 2–9 images.
How many reference images do I need?: Three to five covering different angles is usually enough. Varied angles help more than many near-identical shots.

Models used here