Hugging Face\Test-Qwen-Image-Edit-2509-LoRAs-Fast
0
stars
6
commits
HTML
primary language
Jan 5, 2026
updated
A comprehensive AI-powered platform for image generation, editing, and transformation using state-of-the-art diffusion models
AI Image Studio is an enterprise-grade, multi-modal AI application that brings together cutting-edge image generation and editing capabilities in a unified, intuitive interface. Built on the Qwen 2.5 VL architecture with LoRA fine-tuning, this platform offers professional-grade tools for creative workflows, e-commerce applications, and AI-powered visual content creation.
Transform your imagination into reality with advanced text-to-image generation powered by diffusion models.
Features:
Use Cases:
Revolutionary conversational AI editing that understands natural language instructions.
Features:
Advanced Capabilities:
Advanced body transformation and enhancement tool for fashion, fitness, and personal styling.
Features:
Use Cases:
State-of-the-art virtual try-on technology for e-commerce and fashion applications.
Features:
E-Commerce Integration:
Comprehensive toolset for professional image manipulation and enhancement.
Features:
Professional Workflow:
Intelligent gallery system with advanced organization and search capabilities.
Features:
Comprehensive API orchestration for scalability and redundancy.
Supported Providers:
Features:
Enterprise-grade monitoring and analytics for production deployments.
Metrics Tracked:
Visualizations:
Multi-layered security architecture for enterprise deployments.
Features:
Demo Credentials:
Username: admin
Password: Admin@1675
Frontend:
Backend:
Infrastructure:
Qwen 2.5 VL (Vision-Language Model)
├── Base Model: Qwen2-VL-7B
├── LoRA Adapters: Custom fine-tuned weights
├── Resolution: Up to 2048x2048
└── Inference: Mixed precision (FP16/BF16)
Python 3.10+
CUDA 11.8+ (for GPU acceleration)
16GB+ RAM (32GB recommended)
10GB+ storage for models
git clone https://github.com/Next-Gen-Auto-Bots/Test-Qwen-Image-Edit-2509-LoRAs-Fast.git
cd Test-Qwen-Image-Edit-2509-LoRAs-Fast
pip install -r requirements.txt
.env file with your API keys:HF_TOKEN=your_huggingface_token
OPENROUTER_API_KEY=your_openrouter_key
AIML_API_KEY=your_aiml_key
python app.py
http://localhost:7860 in your browser| Package | Purpose | Version |
|---|---|---|
accelerate | Distributed training & inference | Latest (Git) |
diffusers | Diffusion model implementations | Latest (Git) |
peft | LoRA and parameter-efficient tuning | Latest (Git) |
transformers | Pre-trained model hub | Latest |
torch | Deep learning framework | 2.0+ |
torchvision | Computer vision utilities | Latest |
gradio | Web UI framework | 4.0+ |
huggingface_hub | Model repository access | Latest |
sentencepiece | Text tokenization | Latest |
supervision | Computer vision annotations | Latest |
numpy | Numerical computing | Latest |
1. Upload product image
2. Use Body Shaper to adjust model proportions
3. Apply Virtual Try-On with new clothing
4. Edit background with AI Chat ("Change to modern studio")
5. Enhance with Professional Editing Suite
6. Export high-res image for e-commerce
1. Generate base image with T2I ("Cinematic portrait of entrepreneur")
2. Refine with Custom Editing ("Add dramatic lighting")
3. Apply artistic filter ("Instagram aesthetic")
4. Resize for multiple platforms
5. Batch export with watermark
Model Configuration:
MODEL_NAME = "Qwen/Qwen2-VL-7B-Instruct"
LORA_WEIGHTS = "./lora_weights"
MAX_RESOLUTION = (2048, 2048)
INFERENCE_STEPS = 50
GUIDANCE_SCALE = 7.5
API Configuration:
API_PROVIDERS = {
"huggingface": {"priority": 1, "rate_limit": 100},
"openrouter": {"priority": 2, "rate_limit": 50},
"aiml": {"priority": 3, "rate_limit": 30}
}
Benchmark Results:
Optimization Tips:
We welcome contributions! Please see our Contributing Guide for details.
Areas for Contribution:
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
Coming Soon:
⭐ Star this repository if you find it helpful!
Made with ❤️ by Next Gen Ops Pvt Ltd
This README showcases the repository as a comprehensive, production-ready AI platform with enterprise-grade features, detailed documentation, and clear value propositions for different user segments. The structure highlights all major features while maintaining readability and visual appeal with extensive use of emojis, badges, and organized sections.
6 commits
HTML
62.7%
Python
37.3%
Hugging Face\Test-Qwen-Image-Edit-2509-LoRAs-Fast
0
stars
6
commits
HTML
primary language
Jan 5, 2026
updated
A comprehensive AI-powered platform for image generation, editing, and transformation using state-of-the-art diffusion models
AI Image Studio is an enterprise-grade, multi-modal AI application that brings together cutting-edge image generation and editing capabilities in a unified, intuitive interface. Built on the Qwen 2.5 VL architecture with LoRA fine-tuning, this platform offers professional-grade tools for creative workflows, e-commerce applications, and AI-powered visual content creation.
Transform your imagination into reality with advanced text-to-image generation powered by diffusion models.
Features:
Use Cases:
Revolutionary conversational AI editing that understands natural language instructions.
Features:
Advanced Capabilities:
Advanced body transformation and enhancement tool for fashion, fitness, and personal styling.
Features:
Use Cases:
State-of-the-art virtual try-on technology for e-commerce and fashion applications.
Features:
E-Commerce Integration:
Comprehensive toolset for professional image manipulation and enhancement.
Features:
Professional Workflow:
Intelligent gallery system with advanced organization and search capabilities.
Features:
Comprehensive API orchestration for scalability and redundancy.
Supported Providers:
Features:
Enterprise-grade monitoring and analytics for production deployments.
Metrics Tracked:
Visualizations:
Multi-layered security architecture for enterprise deployments.
Features:
Demo Credentials:
Username: admin
Password: Admin@1675
Frontend:
Backend:
Infrastructure:
Qwen 2.5 VL (Vision-Language Model)
├── Base Model: Qwen2-VL-7B
├── LoRA Adapters: Custom fine-tuned weights
├── Resolution: Up to 2048x2048
└── Inference: Mixed precision (FP16/BF16)
Python 3.10+
CUDA 11.8+ (for GPU acceleration)
16GB+ RAM (32GB recommended)
10GB+ storage for models
git clone https://github.com/Next-Gen-Auto-Bots/Test-Qwen-Image-Edit-2509-LoRAs-Fast.git
cd Test-Qwen-Image-Edit-2509-LoRAs-Fast
pip install -r requirements.txt
.env file with your API keys:HF_TOKEN=your_huggingface_token
OPENROUTER_API_KEY=your_openrouter_key
AIML_API_KEY=your_aiml_key
python app.py
http://localhost:7860 in your browser| Package | Purpose | Version |
|---|---|---|
accelerate | Distributed training & inference | Latest (Git) |
diffusers | Diffusion model implementations | Latest (Git) |
peft | LoRA and parameter-efficient tuning | Latest (Git) |
transformers | Pre-trained model hub | Latest |
torch | Deep learning framework | 2.0+ |
torchvision | Computer vision utilities | Latest |
gradio | Web UI framework | 4.0+ |
huggingface_hub | Model repository access | Latest |
sentencepiece | Text tokenization | Latest |
supervision | Computer vision annotations | Latest |
numpy | Numerical computing | Latest |
1. Upload product image
2. Use Body Shaper to adjust model proportions
3. Apply Virtual Try-On with new clothing
4. Edit background with AI Chat ("Change to modern studio")
5. Enhance with Professional Editing Suite
6. Export high-res image for e-commerce
1. Generate base image with T2I ("Cinematic portrait of entrepreneur")
2. Refine with Custom Editing ("Add dramatic lighting")
3. Apply artistic filter ("Instagram aesthetic")
4. Resize for multiple platforms
5. Batch export with watermark
Model Configuration:
MODEL_NAME = "Qwen/Qwen2-VL-7B-Instruct"
LORA_WEIGHTS = "./lora_weights"
MAX_RESOLUTION = (2048, 2048)
INFERENCE_STEPS = 50
GUIDANCE_SCALE = 7.5
API Configuration:
API_PROVIDERS = {
"huggingface": {"priority": 1, "rate_limit": 100},
"openrouter": {"priority": 2, "rate_limit": 50},
"aiml": {"priority": 3, "rate_limit": 30}
}
Benchmark Results:
Optimization Tips:
We welcome contributions! Please see our Contributing Guide for details.
Areas for Contribution:
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
Coming Soon:
⭐ Star this repository if you find it helpful!
Made with ❤️ by Next Gen Ops Pvt Ltd
This README showcases the repository as a comprehensive, production-ready AI platform with enterprise-grade features, detailed documentation, and clear value propositions for different user segments. The structure highlights all major features while maintaining readability and visual appeal with extensive use of emojis, badges, and organized sections.
6 commits
HTML
62.7%
Python
37.3%