You will get Custom AI Image & Video Generation System
Top Rated

Project details
Yu will get a custom generative AI system for image/video production, built around your data, quality requirements, and deployment infrastructure. Unlike generic prompt-based tools, these are production-grade pipelines with fine-tuned models, controlled generation, and optimized inference.
Applied domains:
— E-commerce & retail (product image generation, background replacement, visual search)
— Media & advertising (AI-generated visuals, brand-consistent content at scale)
— Gaming & entertainment (character generation, scene synthesis, style transfer)
— Fashion & design (virtual try-on, AI styling, texture generation)
Core technical capabilities:
— Diffusion-based image generation: SDXL, FLUX, ControlNet, LoRA fine-tuning
— Text-to-image, image-to-image, inpainting, outpainting pipelines
— AI video generation: text-to-video, image-to-video, frame interpolation
— Identity-consistent generation and controlled style transfer
— Inference optimization: ONNX, TensorRT, quantization
— Cloud and on-premise deployment: Docker, FastAPI, AWS, GCP.
Applied domains:
— E-commerce & retail (product image generation, background replacement, visual search)
— Media & advertising (AI-generated visuals, brand-consistent content at scale)
— Gaming & entertainment (character generation, scene synthesis, style transfer)
— Fashion & design (virtual try-on, AI styling, texture generation)
Core technical capabilities:
— Diffusion-based image generation: SDXL, FLUX, ControlNet, LoRA fine-tuning
— Text-to-image, image-to-image, inpainting, outpainting pipelines
— AI video generation: text-to-video, image-to-video, frame interpolation
— Identity-consistent generation and controlled style transfer
— Inference optimization: ONNX, TensorRT, quantization
— Cloud and on-premise deployment: Docker, FastAPI, AWS, GCP.
AI Algorithms
Autoencoder, Convolutional Neural Network, CycleGAN, Generative Adversarial Network, StyleGAN, Transformer Model, Variational AutoencoderAI Applications
AI Content Creation, AI Text-to-Image, AI-Generated Art, AI-Generated Video, Image Processing, Image Upscaling, Image-to-Image Translation, Neural Style Transfer, Synthetic Data GenerationAI Development Language
PythonAI Tools
Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
DALL-E, Midjourney AI, Stable DiffusionWhat's included $9,500
These options are included with the project scope.
$9,500
- Delivery Time 21 days
- Number of Revisions 1
- AI Model Integration
- Image Upscaling
- Model Deployment
- Model Documentation
- Model Testing & Optimization
- Model Tuning
- Prompt Engineering
- Setup File
- Source Code
Frequently asked questions
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CJ
Clayton J.
Apr 4, 2026
AI audio engineer (Deep Learning) – SAM Audio powered mastering engine
Oleg delivered an outstanding implementation of our SAM Audio-powered AI mastering engine. He demonstrated strong Python expertise and deep knowledge of Machine Learning and Artificial Neural Networks, building a robust segmentation pipeline and integrating it seamlessly into our mastering workflow. His Deep Learning models for audio analysis were well-structured, efficiently trained, and optimized for production inference. Beyond the technical execution, Oleg showed real understanding of DSP and mastering practices, which made the final system both technically impressive and musically reliable. Communication was clear, deadlines were met, and the overall quality exceeded expectations.
AC
Arina C.
Mar 21, 2026
30 minute consultation
Really efficient prep before the call, punctual and prepared. Thanks!
WR
William R.
Oct 22, 2025
AI-powered Controlled Face Generation
The team carried out the project with efficiency and professionalism. They were highly attentive to changes and communicated progress clearly throughout. I highly recommend ItJim to anyone seeking expert engineers for CV, gen AI, and ML solutions.
NM
Nicolas M.
Oct 13, 2025
Expert in Stable Diffusion for Image Creation
Awesome work!
JP
Jameson P.
Sep 29, 2025
DinoV3 Implementation for Python Image Search
They completed the work ask requested.
About Oleg
Generative AI, Computer Vision, Audio & Music AI Engineer
100%
Job Success
Kyiv, Ukraine - 3:15 am local time
I design and deploy production-grade AI solutions built from scratch for image, video, audio, and multimodal applications.
My work focuses on system-level development: from architecture design and model training to optimization and deployment, delivering scalable AI components ready for real-world environments.
Core Expertise
Generative AI Systems
▪️ Diffusion-based image and video generation (SDXL, FLUX, ControlNet)
▪️ Controlled generation, inpainting, style transfer
▪️ Text-to-video and 3D generation pipelines
▪️ Neural speech synthesis and AI audio generation
▪️ Synthetic data generation for model training
Computer Vision
▪️ Object detection, tracking, and segmentation
▪️ OCR, pose estimation, face recognition
▪️ 3D reconstruction and depth estimation
▪️ Real-time and edge-optimized vision systems
Audio AI & DSP
▪️ Audio segmentation and source separation
▪️ Spectrogram-based modeling and transformer audio embeddings
▪️ Speech recognition and synthesis systems
▪️ Feature-driven audio analysis pipelines
▪️ Cross-modal (audio–vision–text) modeling
Machine Learning & Architecture
▪️ Custom neural network architecture design (CNNs, U-Nets, Transformers)
▪️ End-to-end ML lifecycle: data strategy → training → validation → deployment
▪️ Performance optimization for accuracy, latency, and hardware constraints
Deployment & Edge Systems
▪️ Cloud, on-premise, and edge deployment
▪️ Dockerized inference services
▪️ ONNX / TensorRT optimization
▪️ Mobile and embedded AI systems
What I Deliver
▪️ Custom AI system development (from scratch)
▪️ Structured R&D and technical validation
▪️ Production-ready ML / CV / multimodal pipelines
▪️ Scalable architecture aligned with product and business goals
Steps for completing your project
After purchasing the project, send requirements so Oleg can start the project.
Delivery time starts when Oleg receives requirements from you.
Oleg works on your project following the steps below.
Revisions may occur after the delivery date.
Use Case & Technical Discovery
Clarify business objectives, target audience, quality expectations, and system constraints (API, latency, scalability, infrastructure).
Architecture & Model Design
Design a custom generative pipeline (diffusion, video model, fine-tuning, LoRA, ControlNet) aligned with performance and cost requirements.
