You will get photo-to-line-art, a FastAPI application that converts photos into line art
Project details
You will get a complete line art generation web app that allows users to upload photos (portraits, pets, etc.) and convert them into high-resolution, clean cartoon-style line art using AI models like Stable Diffusion + ControlNet.
With professional experience in AI model deployment, image processing, and web UI (Streamlit + FastAPI), I can deliver a fully working MVP within 1–2 days. The app supports model selection, parameter tuning (thresholds, prompt), and a clean frontend interface.
All work is clean, well-documented, and ready for deployment or further development.
With professional experience in AI model deployment, image processing, and web UI (Streamlit + FastAPI), I can deliver a fully working MVP within 1–2 days. The app supports model selection, parameter tuning (thresholds, prompt), and a clean frontend interface.
All work is clean, well-documented, and ready for deployment or further development.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Multimodal Large Language Model, Transformer Model, Variational AutoencoderAI Applications
AI Content Creation, AI Text-to-Image, AI-Generated Art, Image Analysis, Image Processing, Image Recognition, Image-to-Image TranslationAI Development Language
PythonAI Tools
GitHub Copilot, Gradio, Hugging Face, PyTorch, StreamlitAI Models
Stable DiffusionWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | |
Image Upscaling | - | - | |
MLOps | - | - | - |
Model Deployment | |||
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100Frequently asked questions
About Sunny AI
Deep Learning Engineer, End-to-End Model Development & Deployment
Guangzhou, China - 12:33 am local time
Full-Stack ML Development: Data collection, cleaning, feature engineering, model training and deployment
Deep Learning Expert: Proficient in PyTorch and TensorFlow, with hands-on experience in CNNs, Transformers, GCNs, and more
Rapid Prototyping & Deployment: Built Dify-based WebAPPs with one-click deployment and real-time performance monitoring
Diverse Project Experience: Sales and energy forecasting, protein function prediction, image classification, NLP, and beyond
Data Science Applications: Developed WebAPPs to accelerate model validation and streamline iteration cycles
I'm ready to support your business with high-quality, scalable, and results-driven AI solutions.
Steps for completing your project
After purchasing the project, send requirements so Sunny AI can start the project.
Delivery time starts when Sunny AI receives requirements from you.
Sunny AI works on your project following the steps below.
Revisions may occur after the delivery date.
Local deployment
Deploy the GitHub project to the client's local computer
webAPP
Run the Streamlit web application







