Customize your input with more control.
Customize your input with more control.
Hint: Drag and drop files from your computer, images from web pages, paste from clipboard (Ctrl/Cmd+V), or provide a URL.
Customize your input with more control.
Your request will cost $2 per training run (scales linearly with steps). For $2 you can run this model with approximately 1 times.
Fine-tune your training parameters and start right now.
Train custom FLUX LoRA models for styles, people and other subjects at blazing speeds. From concept to model in minutes, not hours.
FLUX.1 LoRA Fast Training enables developers to train custom LoRA (Low-Rank Adaptation) models on top of the FLUX.1 base model. This training service allows you to create personalized models that can generate images in specific styles, featuring particular people, objects, or artistic approaches.
Train custom LoRA models with unprecedented speed and control:
Style Training Create custom artistic styles by training on a dataset of consistent artwork. Perfect for artists wanting to replicate specific visual aesthetics or art movements.
Character Training Train models to generate specific people or characters consistently across different scenarios and contexts.
Product Training Create LoRA models for specific products or brand elements to maintain visual consistency across marketing materials.
Creative Projects Develop unique visual styles for games, animations, or other creative projects requiring consistent artistic direction.
Getting up and running with FLUX LoRA Training is straightforward. First, install your preferred SDK:
For JavaScript/TypeScript:
bashnpm install --save @fal-ai/client
For Python:
bashpip install fal-client
Then initialize with your API key:
typescriptimport { fal } from '@fal-ai/client' fal.config({ credentials: 'YOUR_FAL_KEY' }) const result = await fal.subscribe('fal-ai/flux-lora-fast-training', { input: { images_data_url: 'YOUR_TRAINING_IMAGES_ZIP_URL', trigger_word: 'unique_token_name', is_style: true } })
The training service accepts several parameters to configure your model:
typescript{ images_data_url: string, // ZIP file containing training images trigger_word: string, // Unique word to activate your LoRA is_style?: boolean, // Set to true for style training steps?: number, // Number of training steps (default: 1000) // Additional configuration options available }
For optimal training results:
Dataset Preparation Use high-resolution images (ideally 1024x1024 or greater) with no compression artifacts. Ensure consistent quality and style across your training dataset.
Trigger Words Choose unique trigger words like "txcl" combined with descriptive terms (e.g., "txcl painting") to ensure your LoRA can be activated reliably.
Training Steps Start with the default 1000 steps. Adjust based on results - too few steps may not capture the style, while too many can lead to overfitting.
Style vs Character Training
Use the is_style: true parameter for style training to disable auto-captioning and segmentation masks that aren't needed for artistic style transfer.
Your request will cost $2 per training run (scales linearly with steps). This transparent pricing makes it cost-effective for experimentation and production use:
Once training is complete, you can use your custom LoRA with the FLUX.1 generation endpoints:
typescript// Generate images using your trained LoRA const result = await fal.subscribe('fal-ai/flux-lora', { input: { prompt: 'A beautiful landscape in the style of txcl painting', loras: [{ path: 'YOUR_TRAINED_LORA_URL', scale: 1.0 }] } })
Comprehensive support ensures your training success:
Ready to train your custom FLUX LoRA model? Get started now and create personalized AI models in minutes.
