Same Person, Different Universe
Picture this: you have spent 47 minutes crafting the perfect character in your AI image generator of choice. Green hair, sunflower tattoo, rose on the cheek. Then you ask it to put that same character in a coffee shop, and what comes out is a completely different person who maybe-sorta-kinda has green hair if you squint hard enough.
That is the Character Consistency Problem the final boss of AI image generation in 2026. And in May, someone finally ran the numbers on the four biggest contenders: Flux.2 (Black Forest Labs latest banger), Gemini 3.1 Flash (Googles speed demon), gpt-image-2 (OpenAIs wallet-flex), and Runway Gen-4 (the video folks trying to crash the image party).
The Contenders Enter the Ring
Each model was given the exact same reference photo a guy with short green hair, a sunflower tattoo on his arm, and an upside-down rose tattoo on his cheek and asked to put him behind an espresso machine as a barista. The vibes? Very different. Lets break it down like a reality TV elimination round.
Flux.2 The Peoples Champion
Black Forest Labs walked in and said hold my latent diffusion. Flux.2 kept everything intact the sunflower tattoo, the rose, the exact facial features while giving the dude a completely fresh pose and a genuine smile. It understood that consistency means preserving identity, not copy-pasting the same head tilt like some kind of Photoshop layer.
- Sunflower tattoo: present and correct
- Rose tattoo: exactly where it should be
- Fresh pose, natural expression
- 30.5 seconds generation time
- $0.135 per generation
Gemini 3.1 Flash The Budget King
Google came to play. Gemini 3.1 Flash produced equally stunning character consistency the sunflower, the neck tattoo, the bone structure all there. The only nitpick? That cheek rose kinda turned into a teardrop shape. But at $0.084 per image and 31-second generation time, it is the best bang-for-buck in town and it is not even close.
- Features extremely well preserved
- Rose tattoo got a little abstract
- 31.11 seconds generation time
- ~$0.084 per generation
gpt-image-2 The Overachiever
OpenAIs entry did something wild it preserved the face too well. The head tilt, the blank expression, everything from the reference photo carried over. It is like putting a mannequin in a coffee shop. The uncanny valley hit hard. Also, the hands? Lets just say fingers are not OpenAIs strong suit. And at 212 seconds and $0.224 per image? Oof.
- Face accuracy is technically perfect
- Zero expression change equals creepy vibes
- Hands are doing something questionable
- 211.95 seconds generation time
- ~$0.224 per generation
Runway Gen-4 Did Not Pass Go
Runway came to the party with a video editing background and promptly generated a completely different person. The character came out looking like the reference photos distant cousin who also has green hair, I swear. The face? Wrong. The tattoos? Abstract blobs. Fast? Yes at 25 seconds. Cheap? Yes at $0.05. Good? Not this time.
- Not the same person at all
- Tattoos became weird shapes
- Uncanny valley realness
- 25.19 seconds generation time
- $0.05 per generation
The Final Scorecard
Flux.2 and Gemini 3.1 Flash both aced the character consistency test. gpt-image-2 technically passed but at 7x the time and double the cost of the competition. Runway Gen-4 failed outright the generated person was not recognizably the same character.
| Model | Consistency? | Time | Cost | Verdict |
|---|---|---|---|---|
| Flux.2 | Yes | 30.5s | $0.135 | Winner |
| Gemini 3.1 Flash | Yes | 31.1s | ~$0.084 | Best Value |
| gpt-image-2 | Yes | 212s | ~$0.224 | Technically Correct |
| Runway Gen-4 | No | 25.2s | $0.05 | Back to the Lab |
The Real Tea
Here is what matters: we are finally past the era where every AI image was a dice roll on whether your character would look the same in frame two. Flux.2 and Gemini 3.1 Flash have cracked the code on identity preservation, and that changes everything for game devs, comic creators, and anyone trying to tell a visual story with AI.
OpenAIs gpt-image-2 has the fidelity but needs to learn that consistent does not mean identical copy. And Runway? Gen-4 is amazing at video, but image consistency is not its moment. Maybe Gen-5 will be different.
Bottom line: If you want your AI characters to actually be the same person across scenes, Flux.2 is your bestie right now. But keep an eye on Gemini at those prices, Google is cooking.
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