Gemini Omni Flash for AI persona video: what it allows
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Character consistency
Keeping the face the same is the hardest technical part. There are two ways to do it: hosted tools that work from your reference images, or a LoRA that you train and own. Both are explained here, along with the problems that cost people weeks: a drifting face, too much training, and a bad image set.
What you will find here
- Which way to go
- Hosted tools give you a usable face in minutes. Your own LoRA takes hours and belongs to you. Start hosted and switch when you hit a limit.
- Building the training set
- Twenty to forty different images, with enough angles and light that the model learns the face and not one photo.
- The LoRA settings that matter
- Rank, learning rate and number of epochs. If you have to lower the weight below 0.7 to fix the look, you trained too long.
- The reference set
- Front, three-quarter left, three-quarter right and at least two tilted shots. A weak face shows at those angles first.
- Finding out why a face drifts
- Is the identity broken, or is it just a setting? One means retraining. The other means changing the prompt.
- Outfits and accessories
- A small set of named outfits for different occasions. Glasses and the hair parting have to stay the same too.
Start here
AI character consistency: hosted tools or your own LoRA
AI character consistency: use a hosted tool like Higgsfield or WaveSpeed, or train your own Flux LoRA. What each costs and how to find out why a face drifts.
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