Character consistency in AI image generation — where prompts break down and LoRA helps

📦 Training template: github.com/sm1ck/honeychat/tree/main/tutorial/03-lora — a generic Kohya SDXL config with <tune> placeholders and a dataset curation guide. No docker-compose (LoRA training is GPU-heavy) — you bring your own GPU or rent one. Here's a failure mode many AI companion apps run into on launch day: users send two requests in a row for the same character, get two different faces, and conclude the product is broken. They're not wrong to feel that way. Character identity is p...

Original Source

Read the full article at Dev →

KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.