You will get a flux finetuing for a specific purposes
Project details
You will get a lora model for image generation AI which will be capable of generating images of a desired concept.
What you get:
A safetensor file which you will be able to deploy in ComfyUI or Stable Diffusion web UI and use in your workflow or in any provider with lora support.
What is given as an example:
You can see as an example result of training which now draws a specific tramcar, not a "generic" one. I can do it with anything you want.
What you get:
A safetensor file which you will be able to deploy in ComfyUI or Stable Diffusion web UI and use in your workflow or in any provider with lora support.
What is given as an example:
You can see as an example result of training which now draws a specific tramcar, not a "generic" one. I can do it with anything you want.
AI Algorithms
Generative Adversarial NetworkAI Applications
AI Text-to-Image, Image Processing, Image-to-Image TranslationAI Models
Stable DiffusionWhat's included $150
These options are included with the project scope.
$150
- Delivery Time 5 days
- Number of Revisions 1
- Model Tuning
About Rinat
Machine learning engineer
Yalova, Turkey - 11:02 am local time
Key Expertise:
Advanced Model Optimization:
Fine-tuning and parameter optimization on custom datasets to consistently achieve target accuracy and performance benchmarks.
Iterative experimentation with model configurations to meet specific business and technical objectives.
RAG Systems Development:
Researched and developed proof-of-concept Retrieval Augmented Generation (RAG) systems.
Integrated knowledge retrieval modules with generative language models to deliver contextually relevant and factually accurate outputs.
End-to-End Pipeline Integration:
Designed and orchestrated complete AI pipelines—from data preprocessing and model training to inference and deployment.
Ensured robust scalability, maintainability, and alignment with business objectives.
Natural Language Processing Solutions:
Engineered scalable platforms for developing smart virtual assistants, increasing system capacity and performance significantly.
Developed NLP tools that transform building descriptions into formal construction documentation, reducing preparation time and enhancing accuracy.
Addressed critical client requirements, such as preventing virtual assistants from discussing forbidden topics.
Image-to-Image Model Fine-Tuning:
Extensive experience in fine-tuning image-to-image models, adapting them for various tasks that require high fidelity and accurate image transformation.
Applied domain-specific adjustments to improve model performance in visual tasks.
Whether you need to build a new AI system from scratch, optimize an existing model, or integrate complex AI pipelines, I bring a robust technical background combined with practical experience to deliver effective, scalable solutions.
Key Skills
• Python (Pytorch, Tensorflow, FastAPI, REST API, PyTorch, Pandas)
• LLM fine-tuning
• Databases (Postgres)
• FAISS, Chroma
• OpenCV
• Langchain
• OpenAI API
• Docker
• Uvicorn
• SQLAlchemy
• RabbitMQ
• AWS
• Google Cloud Run
• git
Let’s work together to bring your AI projects to life!
Steps for completing your project
After purchasing the project, send requirements so Rinat can start the project.
Delivery time starts when Rinat receives requirements from you.
Rinat works on your project following the steps below.
Revisions may occur after the delivery date.
Discussion of the requirements
Receiving the dataset