Image Apps

Consistent Character AI

Consistent character AI keeps the same generated person recognizable across every image and video. Fizzly does it with LoRA character training: you train the identity once from reference photos, then generate unlimited scenes, angles, and outfits without the face drifting. Start with 5 free credits.

LoRA training locks the identityMulti-angle shots of one characterCharacter swap into existing mediaWorks across image and video
Trusted by 50,000+ creators worldwide
Consistent character AI example showing one AI character across multiple scenes

Why characters drift, and how LoRA training fixes it

Image models generate a new face every time unless something anchors the identity. Prompt tricks like seed reuse and long facial descriptions get you close, but close is not consistent: the jawline shifts, the eyes change, and after ten images your character is a family of lookalikes instead of one person.

LoRA training solves this at the model level. At /characters/create you upload a set of clear reference photos, and Fizzly trains a small adapter that teaches the model your specific character. From then on, every generation starts from the learned identity rather than a text description of it. You can prompt new outfits, locations, lighting, and poses with models like Flux and Seedream 4.5, and the face holds. No reference photos? Use the image generator to create an original face first, generate a few variations of it, and train from those.

Multi-angle shots and full scene control

A consistent character is only useful if it survives more than a front-facing portrait. Because the identity is trained rather than prompted, you can generate profile views, three-quarter angles, full body shots, and candid framings of the same person. Cloth swap and the AI hairstyle changer restyle the character without retraining, relight matches them to any environment, and photo packs batch-generate themed sets, like travel, gym, or studio portraits, around one identity in a single run.

Put the character into existing media

Generation is not the only way to use a locked identity. Character swap places your character into an existing image, face swap targets just the face, and character replacement in video carries the identity into footage. For original motion, animate stills of your character with video models like Kling 2.5 Turbo and Wan 2.6. One trained character feeds every output format, which is what makes virtual influencers, story series, and creator brands practical. Credit costs per feature are on the pricing page.

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5 free credits to get started — no credit card required

How it works

1

Collect reference images

Gather clear photos of a face you have rights to use, or generate an original face with Flux or Seedream 4.5 and make variations of it.

2

Train the LoRA character

Upload the references at /characters/create and Fizzly trains a reusable identity that the image models can reproduce on demand.

3

Generate multi-angle shots

Prompt portraits, profiles, full body shots, and candid scenes. The trained identity keeps the face stable across all of them.

4

Restyle without retraining

Change outfits with cloth swap, test cuts with the AI hairstyle changer, and match any scene with relight, all on the same character.

5

Swap into existing media

Use character swap and face swap to place the identity into existing images, or replace a character in video footage.

6

Extend into video

Animate stills of the character with Kling, Wan, or Seedance to get short clips that still read as the same person.

Why choose Fizzly AI Characters

Trained, not prompted

The identity lives in a trained LoRA, not a fragile prompt, so consistency does not depend on rewriting the same description forever.

Holds across angles

Profile, three-quarter, and full body shots stay on-model, which prompt-only workflows reliably fail at.

Character swap built in

Move the same identity into existing photos and videos instead of only generating from scratch.

Works with every Fizzly model

Use the character with realistic models like Flux and Seedream 4.5, then carry it into video generation when you need motion.

Batch output with photo packs

Generate complete themed sets of the character in one run, instead of assembling a content library image by image.

Free to test

New accounts get 5 free credits, enough to train a character and check the consistency yourself before paying.

Perfect for

AI influencer identity

A virtual influencer only works if followers see the same person daily. The trained character is that foundation.

Recurring story characters

Keep a protagonist consistent across episodes, comic panels, thumbnails, and serial content.

Brand spokespersons

Build one recognizable face for a product or campaign without booking the same model for every shoot.

UGC and ad creators

Front every ad variation with the same creator persona so your testing matrix changes one variable at a time.

AI model portfolios

Create one reusable model identity, then generate new looks, locations, and sets around it for portfolio or fan-page content.

Video continuity

Carry the same character from stills into animated clips and swapped footage without breaking recognition.

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