LoRA Generation — Custom AI Style & Character Consistency
Custom AI fine-tuning with LoRA (Low-Rank Adaptation). Create consistent characters, brand assets, and art styles using lightweight adapters for FLUX and SDXL.
Applications of LoRA Technology
LoRA solves the "randomness" problem of generative AI, allowing for precise control over characters, styles, and products.
Consistent Character Generation
Train a LoRA on 15-20 photos of a specific person and generate that exact character in any scene, outfit, or art style. Perfect for marketing campaigns, virtual influencers, and personalized content at scale.
Brand & Product Consistency
Train a LoRA on your product images to generate photorealistic marketing assets featuring your exact product in any environment. Maintain brand consistency across thousands of variations without expensive photoshoots.
Custom Art Styles & Multi-LoRA Mixing
Capture a specific artistic style in a LoRA adapter and apply it to any subject. WaveSpeed supports Multi-LoRA mixing — combine a Character LoRA with a Style LoRA and a Clothing LoRA in a single prompt for precise creative control.
LoRA Generation on WaveSpeed vs. Traditional Fine-Tuning
See why teams choose WaveSpeed LoRA generation over traditional fine-tuning.
Performance at a Glance
LoRA Generation on WaveSpeed delivers custom models at scale.
Examples
Young woman turning to smile at camera, breeze catching her scarf, soft bokeh background.
Dancer performing a graceful pirouette, flowing dress creating motion trails, spotlight.
Butterfly emerging from chrysalis in close-up, wings slowly unfurling, soft natural light.
Detective walking through foggy city streets, trench coat collar up, film noir atmosphere.
Integrate in Minutes
Production-ready SDKs for Python and JavaScript. REST API with full OpenAPI spec. Webhook support for async jobs.
- Train and deploy LoRA models via API
- Multi-LoRA mixing in a single prompt
- Python & JavaScript SDKs + REST API
Get Any Tool You Want
1000+ models across image, video, audio, and 3D — all through one API.
FAQ
A Checkpoint (like SDXL) is a massive file (GBs) representing the entire brain of the AI. A LoRA is a small adapter file (MBs) that fine-tunes a specific part of that brain. LoRAs are faster to train, easier to share, and can be swapped instantly without reloading the main model.
Yes. WaveSpeed supports Multi-LoRA mixing. You can combine a "Character LoRA" with a "Style LoRA" and a "Clothing LoRA" in a single prompt to generate your specific character, wearing your specific clothes, in your specific art style.
We support LoRA generation for all major foundation models, including the entire FLUX.1 family, Stable Diffusion XL (SDXL), and Stable Diffusion 1.5.
For a specific style, 20-50 images are recommended. For a specific face or character, 15-20 high-quality, varied photos are usually sufficient. For a specific object, 10-15 clean images from different angles work best.
Yes. Models trained on your private data within your WaveSpeed workspace are your intellectual property. You can choose to keep them private or publish them to the community library.