Custom LoRA Training
Generic image models (like Midjourney or DALL-E) cannot generate your specific products, brand characters, or proprietary architectural styles. We solve this by training custom Low-Rank Adaptations (LoRAs) on top of open-source models like Stable Diffusion, giving you a private AI that perfectly understands your visual identity.
Core Features
Brand-Specific Image Generation
Generate unlimited marketing assets featuring your exact product SKU, mascot, or specific human models without organizing photoshoots.
High-Fidelity Subject Training
Advanced dataset curation and captioning to ensure the LoRA captures minute details like textures, logos, and precise geometric shapes.
Style & Aesthetic Control
Training models to replicate your brand's specific artistic style (e.g., minimalist 3D renders, vintage comic, or corporate flat art).
Private & Secure Architecture
Your custom LoRAs and datasets are completely private, deployed securely in your cloud, ensuring your visual IP is never leaked.
Our Process
Dataset Curation & Preprocessing
Week 1Collecting 50-200 high-quality images of the target subject/style, cropping, and manually captioning them to train the model.
LoRA Training & Parameter Tuning
Week 2Running the training process on high-end GPUs, experimenting with learning rates and network dimensions (Rank) to prevent overfitting.
Evaluation & Prompt Testing
Week 3Generating hundreds of test images across different prompts and seeds to evaluate the flexibility and accuracy of the LoRA.
ComfyUI Workflow Design
Week 4Building custom ComfyUI or Automatic1111 workflows that combine your LoRA with ControlNet for precise pose and composition control.
Deployment via API
Week 5Packaging the model and workflow into a scalable API (using RunPod or Replicate) so your marketing team can generate images via a simple web interface.
Technologies We Use
FAQ
How many images do you need to train a LoRA?
Can't I just use Midjourney's character reference feature?
Who owns the rights to the generated images?
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