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Krea 2 LoRA training faces annotation challenges with prompt-heavy model

Users training LoRAs with Krea 2 are encountering difficulties with dataset annotation, finding that Krea 2 prioritizes prompts over captions. This leads to issues like overfitting and underfitting simultaneously, where specific features like clothing or artistic styles are not learned correctly. Even with large datasets and VLM-generated captions, Krea 2 appears resistant to trigger phrases and can fail to learn features if captions are inaccurate, making character and stylized clothing LoRA training challenging. AI

IMPACT Highlights potential difficulties for users in fine-tuning AI models for specific artistic styles or characters.

RANK_REASON User-generated content discussing challenges with a specific AI tool feature.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Krea 2 LoRA training faces annotation challenges with prompt-heavy model

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/4BEraser ·

    Question to Krea 2 LoRA Trainers: How do you annotate your dataset?

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1v10prf/question_to_krea_2_lora_trainers_how_do_you/"> <img alt="Question to Krea 2 LoRA Trainers: How do you annotate your dataset?" src="https://preview.redd.it/v5khzjneu8eh1.png?width=140&amp;height=14…