Video course · 8 chapters · 34 min · certificate
How to Make Consistent AI Characters: LoRA, Reference, Face Swap
Every method for consistent AI characters: training a character in Higgsfield, creating custom characters, generating variations, single-reference editing with Nano Banana, multi-image references with Seedream, face swapping, Flux LoRA training, contextual generation and Midjourney tips.
What you'll learn
- Understand the main consistency methods
- Train a character in Higgsfield
- Use single and multi-image references
- Apply face swapping
- Train a Flux LoRA
- Use contextual generation and Midjourney tips
Chapters
8 chapters · 33:33-
3:31
01Intro Members
Consistency and Higgsfield training
Why consistency is hard and training with Higgsfield.
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3:04
02Training Members
Creating custom characters
Training a character from your own photos.
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4:16
03Generate Members
Image variations
Generating variations with the trained model.
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5:46
04Reference Members
Single reference photo
Using one reference image with Nano Banana.
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4:53
05Reference Members
Multi-image reference
Seedream from ByteDance.
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2:33
06Face swap Members
Face swapping
Using Ideogram for face swaps.
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6:19
07LoRA Members
Training LoRAs with Flux
Flux models and LoRA training.
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3:11
08Tips Members
Contextual generation and Midjourney tips
Flux Kontext mode and Midjourney consistency.
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