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I will train a custom lora model for your ai influencer and generate consistent photos


About this gig
Get a powerful custom LoRA model for consistent AI results
If you want perfect consistency in your AI images, you need a properly trained LoRA model.
I will train a custom LoRA model for your AI influencer to ensure realistic, repeatable, and high-quality outputs.
What youll get:
Custom LoRA model training (Stable Diffusion / SDXL / Flux)
Optimized dataset preparation
High-quality, consistent image results
Prompt guide for easy generation
Support on how to use your model
Ideal for:
AI influencer creators
Stable Diffusion users
Content creators needing consistency
Developers & AI enthusiasts
Why this gig?
Clean, high-quality LoRA training
Improved face and style consistency
Technical expertise + real results
Workflow guidance (ComfyUI / A1111 ready)
Contact me before ordering to discuss your dataset and goals for best performance.
Delivery style preference
Please inform the freelancer of any preferences or concerns regarding the use of AI tools in the completion and/or delivery of your order.
Get to know Wisdomai
AI Video Creator, AI Influencer Expert, LoRA Model Trainer, Ai Music Video
- FromUnited Kingdom
- Member sinceFeb 2026
Languages
English, French, Spanish, German
My Portfolio
FAQ
What is a LoRA model?
A LoRA (Low-Rank Adaptation) model is a custom-trained AI model that helps generate consistent characters or styles in tools like Stable Diffusion.
What do I need to provide for training?
You typically need: 10–30+ images (the more, the better) Clear subject or character focus I can also assist with dataset preparation if needed.
Which platforms/tools will this work with?
Your LoRA model can be used with: Stable Diffusion (A1111) ComfyUI Other compatible AI tools
Will I get instructions on how to use the model?
Yes. I provide a prompt guide and usage instructions so you can easily generate consistent results.
What level of quality can I expect?
You can expect high-quality, realistic, and consistent outputs, depending on dataset quality and package level.

