LoRA Trainer APIs - AI Custom Model Fine-Tuning
Access LoRA Trainer APIs for AI custom model fine-tuning on Pixazo API. Train custom styles, characters, and concepts with Flux and Qwen Image.
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AI LoRA Trainer APIs
LoRA (Low-Rank Adaptation) lets you fine-tune AI image models on your own data without retraining from scratch. Upload a small set of reference images, train a lightweight adapter, and generate images that match your custom style, character, or product. The Pixazo LoRA Trainer API handles the full workflow through a single REST endpoint — from uploading training data to generating with your finished model.
How LoRA Training Works
API Capabilities
Training Types
Who Uses LoRA Training
Quick Start
Start a LoRA training job with a single POST request. Upload your images, set the base model and trigger token, and the API handles the rest.
curl -X POST https://api.pixazo.ai/v1/lora/train \ -H "Authorization: Bearer YOUR_API_KEY" \ -F "images=@./training-data.zip" \ -F "base_model=sdxl" \ -F "trigger_token=mypersonXYZ" \ -F "steps=1500" \ -F "learning_rate=1e-4" # Response { "job_id": "lora_abc123", "status": "training", "estimated_time": "25 minutes" }
Frequently Asked Questions
What is a LoRA model and how does it work?▶
LoRA stands for Low-Rank Adaptation. It is a fine-tuning technique that trains a small set of additional weights on top of a base diffusion model. Instead of retraining the entire model, LoRA modifies only a fraction of the parameters, making training faster, cheaper, and more efficient while still producing high-quality custom outputs.
How many training images do I need for a LoRA?▶
Most LoRA training jobs work well with 10 to 30 high-quality images. For character training you typically need 15 to 25 diverse photos showing different angles, expressions, and lighting. For style transfer, 20 to 30 images representing the target aesthetic produce the best results. Quality and variety matter more than raw quantity.
What types of custom models can I train with the LoRA API?▶
The Pixazo LoRA API supports four main training types: style transfer for learning artistic aesthetics, character training for consistent faces and identities, object training for specific products or items, and concept training for abstract visual ideas. Each type uses the same API endpoint with different recommended configurations.
How long does LoRA training take?▶
Training time depends on your dataset size and configuration. A typical training job with 20 images and standard settings completes in 15 to 45 minutes. Larger datasets or higher-resolution training may take longer. The API returns a training job ID that you can poll for status updates.
Can I use my trained LoRA model with different base models?▶
LoRA weights are generally tied to the base model architecture they were trained on. A LoRA trained on Stable Diffusion XL works with other SDXL-based models, and a LoRA trained on Flux works with Flux-based models. The API documentation specifies compatible base models for each training configuration.
What image formats and sizes are accepted for training data?▶
The API accepts JPEG, PNG, and WebP images for training. Recommended resolution is at least 512x512 pixels, with 1024x1024 being ideal for SDXL-based training. Images are automatically resized and cropped during preprocessing. Avoid heavily compressed, watermarked, or very low-resolution images for best results.
How do I use a trained LoRA for image generation?▶
Once training completes, you receive a LoRA model ID. Pass this ID in the lora_model parameter of any compatible text-to-image or image-to-image generation request. You can also set a lora_weight value between 0 and 1 to control how strongly the LoRA influences the output. Higher values produce stronger stylistic effects.
What is the pricing for LoRA training and generation?▶
LoRA training and generation are billed through the standard Pixazo API credit system. Training costs depend on the number of training steps and resolution. Generation using a trained LoRA costs the same as standard image generation on the same base model. Check the Pixazo API pricing page for current credit rates.