Why does my AI character look different in every image?

Because each render starts from a fresh text prompt, and text cannot pin down a specific face. Words like "young woman with dark hair" describe millions of people. To keep one identity you have to condition on images of that identity, which is what reference-driven models do.

How many reference images do I need?

Between five and ten, covering front, three-quarter and profile views under neutral lighting, is enough for most characters. More references help with unusual features; fewer works if the character is simple.

Does character consistency work for video as well as images?

Yes. Reference-to-video models such as Wan 2.7 R2V, Kling O3 Pro and MiniMax H3 R2V accept reference images and keep the subject stable across the clip. For a talking version of the character, pair a still with a voice track in a lip-sync model.

What does it cost to keep a character consistent?

Floniks bills per render from a credit balance, so the cost depends on which models you run and how many shots you produce. Reference-driven models cost more per render than plain text-to-image, but far less than regenerating and discarding shots that drift. The model list on this page shows current credit costs.

Consistent AI Character Across Every Shot

Fix the face once. Every scene, angle and clip after that stays the same person.

Start creating

What does consistent character generation mean?

Consistent character generation is the ability to render the same character across many images and clips without the face, build or costume drifting between them. A single good image is easy; a sequence where shot twelve still looks like shot one is the hard part, and it is what separates a usable story from a pile of lookalikes. Floniks solves it with reference-driven models: you establish the character with a small set of reference images, and every later render is conditioned on those references instead of a fresh text prompt. Change the scene, the camera, the lighting or the action, and the identity holds.

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
Wan 2.7 R2V (Reference to Video)10 credits
MiniMax H3 Reference to Video75 credits
Nano Banana Pro75 credits

What people use it for

Short films and web series

Carry one protagonist through dozens of shots and several episodes without recasting between scenes.

Comics and visual novels

Panel after panel of the same character with different expressions, poses and settings.

Brand mascots

A recognisable mascot that looks identical on the website, in ads and in every social post.

Storyboards and animatics

Pre-visualise a script with a cast that stays stable from the first frame to the last.

How it works

Establish the character
Generate the base look, then render a handful of clean references from different angles and with neutral lighting. These references are the identity; spend time getting them right.
Condition every new render on the references
Use a reference-driven model rather than re-prompting. Seedream 5 Pro accepts up to 10 references for stills; Wan 2.7 R2V and MiniMax H3 R2V take several references and hold one subject across video.
Vary everything except the identity
Change scene, wardrobe, camera and action per shot. Because the identity comes from the references and not the prompt, the character stays the same while the world around them changes.

Frequently asked questions

Why does my AI character look different in every image?: Because each render starts from a fresh text prompt, and text cannot pin down a specific face. Words like "young woman with dark hair" describe millions of people. To keep one identity you have to condition on images of that identity, which is what reference-driven models do.
How many reference images do I need?: Between five and ten, covering front, three-quarter and profile views under neutral lighting, is enough for most characters. More references help with unusual features; fewer works if the character is simple.
Does character consistency work for video as well as images?: Yes. Reference-to-video models such as Wan 2.7 R2V, Kling O3 Pro and MiniMax H3 R2V accept reference images and keep the subject stable across the clip. For a talking version of the character, pair a still with a voice track in a lip-sync model.
What does it cost to keep a character consistent?: Floniks bills per render from a credit balance, so the cost depends on which models you run and how many shots you produce. Reference-driven models cost more per render than plain text-to-image, but far less than regenerating and discarding shots that drift. The model list on this page shows current credit costs.

Models used here