Replicate: Training a Flux LoRA for Character Consistency

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Demo summary

The narrator demonstrates the process of training a custom Flux model on Replicate by uploading a zip file of images and using a trigger word to generate consistent results.

Step-by-step

Search for the Flux Dev LoRA model on Replicate
Enter a name for the model storage and set visibility to private
Compress 10 or more photos into a zip file and upload it
Create a trigger word to refer to the character in prompts
Increase the rank to 32 for complex features
Click Create Training and wait for completion
Click Run trained model and enter a prompt using the trigger word
Adjust the aspect ratio and output format to PNG
Click Run to generate the image

Options

Set model visibility to private or public
Use auto-captions for the training images
Switch output format between WebP and PNG
Change aspect ratio to 16:9

Watch out for

Requires 10 or more photos for training

Tips

Use a rank of 32 to help the model train on complex features
Use your own name as a trigger word for character consistency
Switch the output format to PNG if you prefer it over WebP

Highlights

“in 12 seconds I have this incredible image of me as a wizard... the face is basically perfect”

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