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Reacted to ginipick's post with šŸš€ 2 days ago
šŸŽ­ StyleGen: AI-Powered Virtual Try-On Service StyleGen offers a virtual try-on solution powered by cutting-edge AI technology. Built on the FLUX.1 model, this service provides an innovative experience allowing users to virtually try on desired clothing items without physical fitting. šŸ“± Key Features Virtual try-on capability using full-body photo and clothing image Customizable fitting strength adjustment (range 0-50) Style transfer intensity control (range 0-1) Intuitive orange-themed user interface Real-time automatic image resizing 28-step sampling for high-quality image generation Quick demonstration through diverse example images Efficient image generation via batch processing Real-time progress tracking with progress bar šŸ’« Technical Highlights Utilization of FLUX.1 Redux and Depth models High-quality image generation using VAE (Variational AutoEncoder) Sophisticated style transfer through CLIP Vision Depth-aware technology for natural clothing fitting Random seed-based diverse output generation Flexible image resizing with aspect ratio preservation Advanced scheduler for stable image generation Fast processing through GPU acceleration StyleGen overcomes the limitations of online shopping by providing a more convenient and immersive shopping experience. Designed with a user-friendly interface, it is expected to open new horizons in online fashion retail. šŸ”— Try it now: https://huggingface.co/spaces/ginipick/StyleGen
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reacted to ginipick's post with šŸš€ 2 days ago
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šŸŽ­ StyleGen: AI-Powered Virtual Try-On Service
StyleGen offers a virtual try-on solution powered by cutting-edge AI technology. Built on the FLUX.1 model, this service provides an innovative experience allowing users to virtually try on desired clothing items without physical fitting.
šŸ“± Key Features

Virtual try-on capability using full-body photo and clothing image
Customizable fitting strength adjustment (range 0-50)
Style transfer intensity control (range 0-1)
Intuitive orange-themed user interface
Real-time automatic image resizing
28-step sampling for high-quality image generation
Quick demonstration through diverse example images
Efficient image generation via batch processing
Real-time progress tracking with progress bar

šŸ’« Technical Highlights

Utilization of FLUX.1 Redux and Depth models
High-quality image generation using VAE (Variational AutoEncoder)
Sophisticated style transfer through CLIP Vision
Depth-aware technology for natural clothing fitting
Random seed-based diverse output generation
Flexible image resizing with aspect ratio preservation
Advanced scheduler for stable image generation
Fast processing through GPU acceleration

StyleGen overcomes the limitations of online shopping by providing a more convenient and immersive shopping experience. Designed with a user-friendly interface, it is expected to open new horizons in online fashion retail.
šŸ”— Try it now: ginipick/StyleGen
New activity in Kims12/openLLMchatbot 4 months ago

Update app.py

#10 opened 4 months ago by CSB261

Update requirements.txt

#9 opened 4 months ago by CSB261

Update app.py

#8 opened 4 months ago by CSB261

Update app.py

#7 opened 4 months ago by CSB261

Update requirements.txt

#6 opened 4 months ago by CSB261

Update app.py

#5 opened 4 months ago by CSB261

Update app.py

#4 opened 4 months ago by CSB261

Update app.py

#3 opened 4 months ago by CSB261

Update app.py

#2 opened 4 months ago by CSB261

Update app.py

#1 opened 4 months ago by CSB261
reacted to fantos's post with ā¤ļø 4 months ago
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1. **Overview**
"EveryText" is at the forefront of AI image generation, offering a novel "TBF ('Text by Font') Image Model" that enables the representation of all languages globally in AI-generated images without prior training.

2. **Background**
Platforms like MidJourneyV6 and FLUX have advanced AI image generation, typically supporting English text. Alibaba Group expanded this to include Chinese, Japanese, and Korean, signaling a shift towards global language support.

3. **Challenges**
Existing methods faced several challenges including the need for additional editing, dependency on specific training, and substantial resource requirements. These approaches also struggled with limited vocabulary and were primarily effective only for English.

4. **Innovative Solution**
EveryText utilizes "Fonts" as pre-trained models, allowing any text to be visually represented without traditional training. This approach not only enhances diversity and aesthetics by utilizing various fonts but also ensures unlimited expression.

5. **Using the Service**
EveryText is free and easy to use:
- **Prompt**: Describe the image.
- **Text for Image Generation**: Add your text.
- **Text Position and Size**: Customize the text's placement and size.
- **Font Selection**: Optionally select a font.
- **Advanced Settings**: Further refine the image creation.
- Click "START" to generate the image.

6. **Comparative Analysis**
EveryText supports all languages with superior image quality and text legibility, setting it apart from platforms like MidJourneyV6/Flux and AnyText by Alibaba Group.

7. **Conclusion**
EveryText has revolutionized AI-generated imagery by integrating all global languages, broadening the scope for creative and communicative applications. Its future potential is vast and promising.

**Related Links**
- Huggingface Service: https://fantos-EveryText.hf.space
-email: arxivgpt@gmail.com