Train a custom influencer model in Enhancor

Demo summary
The video walks through uploading a dataset of images to the Enhancor 'influencer' tab, setting a unique trigger word, and training a LoRA-style model for consistent character generation.
Step-by-step
- Open the Influencer training tab and create a new influencer
- Drag and drop your dataset of images into the upload area
- Enter a name for the influencer
- Input a specific, non-generic trigger word including a unique identifier and physical descriptions
- Click Generate and wait 15 to 30 minutes for the model to train
- Select the completed influencer to automatically populate the trigger word in the prompt section
- Add context to the prompt, such as location or activity
- Select the desired aspect ratio and click generate
Options
- Define specific physical qualities in the trigger word like hair color, body type, or eye color
Watch out for
- The trigger word must be specific and non-generic to work effectively
- Training the model requires a wait time of 15 to 30 minutes before it can be used
Tips
- Use a unique identifier like 'Stephanie 334' combined with a description like 'blonde girl' for the trigger word
- Include descriptors like 'blue eyes', 'skinny', or 'curvy' if those are defining qualities of the model
- Add context like 'eating pasta at a restaurant' or 'selfie' to the prompt for better generation results
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