# Loras AI

> Train custom LoRA models for consistent characters, products and styles

## Product and reference

- [Loras AI](https://loras.im/): Custom LoRA training, image generation and dataset preparation.
- [Detailed product reference](https://loras.im/llms-full.txt): Configuration-derived costs, limits, compatibility and availability boundaries.
- [Training workspace](https://loras.im/train): Prepare image or video datasets; cloud LoRA training requires sign-in, credits and configured services.
- [Model directory](https://loras.im/models): Compare model families; a directory listing does not mean cloud training is available.
- [Pricing](https://loras.im/pricing): Subscriptions and one-time credit packs; proposed tier benefits are marked as previews.
- [Training guides](https://loras.im/guides): Public guides covering preparation, captions, steps and evaluation.
- [Blog](https://loras.im/blog): Published articles.

## Model training references

- [Krea 2 LoRA](https://loras.im/krea-2-lora-training): Fal training and paired inference integration; use the detailed reference for requirements and costs.
- [FLUX.1 Dev LoRA](https://loras.im/flux-lora-training): WaveSpeed training integration with compatible inference; requires configured API credentials and R2 storage.
- [FLUX.2 Dev LoRA](https://loras.im/flux-2-lora-training): Fal training and paired inference integration; use the detailed reference for requirements and costs.
- [Qwen Image 2512 LoRA](https://loras.im/qwen-image-lora-training): WaveSpeed training integration with compatible inference; requires configured API credentials and R2 storage.
- [Z-Image Turbo LoRA](https://loras.im/z-image-lora-training): WaveSpeed training integration with compatible inference; requires configured API credentials and R2 storage.
- [Wan 2.2 LoRA](https://loras.im/wan-2-2-lora-training): WaveSpeed training integration with compatible inference; requires configured API credentials and R2 storage.
- [LTX-2 19B LoRA](https://loras.im/ltx-2-lora-training): WaveSpeed training integration with compatible inference; requires configured API credentials and R2 storage.

## Training objectives

- [character LoRA training](https://loras.im/character-lora-training): Dataset and workflow guidance for character concepts; compatibility depends on the selected model.
- [style LoRA training](https://loras.im/style-lora-training): Dataset and workflow guidance for style concepts; compatibility depends on the selected model.
- [product LoRA training](https://loras.im/product-lora-training): Dataset and workflow guidance for product concepts; compatibility depends on the selected model.
- [video LoRA training](https://loras.im/video-lora-training): Wan 2.2 I2V and LTX-2 19B video LoRA training and compatible inference; configuration required.

## Guides

- [How to train a LoRA](https://loras.im/guides/how-to-train-a-lora): How to train a LoRA: concept, dataset, captions and evaluation.
- [How many images to use and how to choose useful variation.](https://loras.im/guides/how-many-images-for-lora-training): How many images to use and how to choose useful variation.
- [Captioning examples for characters, styles and products.](https://loras.im/guides/lora-captioning-guide): Captioning examples for characters, styles and products.
- [Training steps, learning rate and overfitting explained.](https://loras.im/guides/lora-training-steps-explained): Training steps, learning rate and overfitting explained.
- [Evaluate adapters with new prompts, baselines and failure cases.](https://loras.im/guides/how-to-evaluate-a-lora): Evaluate adapters with new prompts, baselines and failure cases.

## Languages and policies

Public training pages and guides are available in English and Chinese. Japanese and Korean are currently homepage-only.
- [中文首页](https://loras.im/zh): Chinese homepage; public training and guide paths also have a /zh prefix.
- [日本語ホーム](https://loras.im/ja): Japanese homepage.
- [한국어 홈페이지](https://loras.im/ko): Korean homepage.
- [Privacy policy](https://loras.im/privacy-policy): Read the published privacy terms before uploading material.
- [Terms of service](https://loras.im/terms-of-service): Published terms and usage conditions.
- [Sitemap](https://loras.im/sitemap.xml): Public page URLs and supported language alternates.