EvilEngine/attire_ro_creator-10
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fantaxy's
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19 days ago
Post
5287
NSFW Erotic Novel AI Generation
-NSFW Text (Data) Generator for Detecting 'NSFW' Text: Multilingual Experience
The multilingual NSFW text (data) auto-generator is a tool designed to automatically generate and analyze adult content in various languages. This service uses AI-based text generation to produce various types of NSFW content, which can then be used as training data to build effective filtering models. It supports multiple languages, including English, and allows users to input the desired language through the system prompt in the on-screen options to generate content in the specified language. Users can create datasets from the generated data, train machine learning models, and improve the accuracy of text analysis systems. Furthermore, content generation can be customized according to user specifications, allowing for the creation of tailored data. This maximizes the performance of NSFW text detection models.
Web: https://fantaxy-erotica.hf.space
API: https://replicate.com/aitechtree/nsfw-novel-generation
Usage Warnings and Notices: This tool is intended for research and development purposes only, and the generated NSFW content must adhere to appropriate legal and ethical guidelines. Proper monitoring is required to prevent the misuse of inappropriate content, and legal responsibility lies with the user. Users must comply with local laws and regulations when using the data, and the service provider is not liable for any issues arising from the misuse of the data.
-NSFW Text (Data) Generator for Detecting 'NSFW' Text: Multilingual Experience
The multilingual NSFW text (data) auto-generator is a tool designed to automatically generate and analyze adult content in various languages. This service uses AI-based text generation to produce various types of NSFW content, which can then be used as training data to build effective filtering models. It supports multiple languages, including English, and allows users to input the desired language through the system prompt in the on-screen options to generate content in the specified language. Users can create datasets from the generated data, train machine learning models, and improve the accuracy of text analysis systems. Furthermore, content generation can be customized according to user specifications, allowing for the creation of tailored data. This maximizes the performance of NSFW text detection models.
Web: https://fantaxy-erotica.hf.space
API: https://replicate.com/aitechtree/nsfw-novel-generation
Usage Warnings and Notices: This tool is intended for research and development purposes only, and the generated NSFW content must adhere to appropriate legal and ethical guidelines. Proper monitoring is required to prevent the misuse of inappropriate content, and legal responsibility lies with the user. Users must comply with local laws and regulations when using the data, and the service provider is not liable for any issues arising from the misuse of the data.
- 4 replies
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ginipick's
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19 days ago
Post
4539
š 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.
š± 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
š« 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.
š Try it now: ginipick/StyleGen
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.
š± 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
š« 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.
š Try it now: ginipick/StyleGen
reacted to
openfree's
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19 days ago
Post
4111
# š Welcome to StoryStar! - Where Stories Shine Brighter āØ
Hey there, storytellers and explorers of infinite narrative universes! š
Ready to make your stories sparkle? Meet StoryStar, your AI creative companion that adds a special twinkle to every tale! š
## šØ Why StoryStar Shines So Bright
Imagine having a creative partner that:
- š Crafts stories that shine like stars in any genre
- š Creates dazzling characters and worlds
- š Adds a special sparkle to your ideas
- š Analyzes texts with telescope-like precision
- š¤ Explores the creative universe with you
## āØ Features That Make StoryStar Sparkle
### šÆ Smart File Analysis
Upload your texts, code, CSV, or Parquet files! StoryStar organizes data like constellations in the night sky:
- š Crystal-clear data spectrum
- š« Twinkling insights and suggestions
- š Analysis that connects like constellations
### š® Interface as Clear as the Night Sky
- š¬ Clean chat window like a starlit sky
- šØ Warmly glowing orange theme
- šÆ Guiding examples like the North Star
### āļø Stellar Power Features
- šļø Adjust creativity like starlight intensity
- š Responses as abundant as meteor showers
- šÆ Customize AI like your personal constellation
## š¬ Launch Your Journey!
1. š Launch the app like a spacecraft
2. š Input ideas like discovering first stars
3. āØ Explore your new story universe
## šÆ Perfect for Star-Bound Creators:
- š Writers seeking new inspirations
- š® Game narrative designers
- š Students on creative assignments
- š¼ Professionals needing content ideas
- šØ Anyone who loves storytelling!
## š ļø Technical Shooting Stars (The Fun Part!)
Built with:
- š¤ Cutting-edge LLM models
- šØ Sleek Gradio interface
- š Smart Pandas data handling
- š¾ Reliable chat history saving
š Create Your Own Milky Way of Stories!
Created something amazing with StoryStar? Share it with us!
Let's build a galaxy of stories together!
openfree/StoryStar
Hey there, storytellers and explorers of infinite narrative universes! š
Ready to make your stories sparkle? Meet StoryStar, your AI creative companion that adds a special twinkle to every tale! š
## šØ Why StoryStar Shines So Bright
Imagine having a creative partner that:
- š Crafts stories that shine like stars in any genre
- š Creates dazzling characters and worlds
- š Adds a special sparkle to your ideas
- š Analyzes texts with telescope-like precision
- š¤ Explores the creative universe with you
## āØ Features That Make StoryStar Sparkle
### šÆ Smart File Analysis
Upload your texts, code, CSV, or Parquet files! StoryStar organizes data like constellations in the night sky:
- š Crystal-clear data spectrum
- š« Twinkling insights and suggestions
- š Analysis that connects like constellations
### š® Interface as Clear as the Night Sky
- š¬ Clean chat window like a starlit sky
- šØ Warmly glowing orange theme
- šÆ Guiding examples like the North Star
### āļø Stellar Power Features
- šļø Adjust creativity like starlight intensity
- š Responses as abundant as meteor showers
- šÆ Customize AI like your personal constellation
## š¬ Launch Your Journey!
1. š Launch the app like a spacecraft
2. š Input ideas like discovering first stars
3. āØ Explore your new story universe
## šÆ Perfect for Star-Bound Creators:
- š Writers seeking new inspirations
- š® Game narrative designers
- š Students on creative assignments
- š¼ Professionals needing content ideas
- šØ Anyone who loves storytelling!
## š ļø Technical Shooting Stars (The Fun Part!)
Built with:
- š¤ Cutting-edge LLM models
- šØ Sleek Gradio interface
- š Smart Pandas data handling
- š¾ Reliable chat history saving
š Create Your Own Milky Way of Stories!
Created something amazing with StoryStar? Share it with us!
Let's build a galaxy of stories together!
openfree/StoryStar
reacted to
ginipick's
post with ā¤ļø
19 days ago
Post
4539
š 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.
š± 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
š« 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.
š Try it now: ginipick/StyleGen
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.
š± 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
š« 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.
š Try it now: ginipick/StyleGen
reacted to
xingxm's
post with ā¤ļø
10 months ago
Post
1489
š New Research Alert - CVPR 2024! š
š Title: "SVGDreamer: Text-Guided SVG Generation with Diffusion Model"
š TL;DR: Given a text prompt, SVGDreamer can generate editable and versatile high-fidelity vector graphics.
š Description: In this work, the author has introduced SVGDreamer, an innovative model for text-guided vector graphics synthesis. SVGDreamer incorporates two crucial technical designs: semantic-driven image vectorization (SIVE) and vectorized particle-based score distillation (VPSD), which empower our model to generate vector graphics with high editability, superior visual quality, and notable diversity.
š„ Authors: [Ximing Xing](https://ximinng.github.io/), Haitao Zhou, Chuang Wang, [Jing zhang](https://hellojing89.github.io/), [Dong Xu](https://www.cs.hku.hk/index.php/people/academic-staff/dongxu), and [Qian Yu](https://yuqian1023.github.io/)
š Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA šŗšø
š Keywords: #SVGDreamer #Text-to-SVG #SVG #Diffusion #CVPR2024
Resources:
š arXiv Paper: https://arxiv.org/abs/2312.16476
š Github Page: https://ximinng.github.io/SVGDreamer-project/
š Code Repository: https://github.com/ximinng/SVGDreamer
š Blog: https://huggingface.co/blog/xingxm/svgdreamer
š Title: "SVGDreamer: Text-Guided SVG Generation with Diffusion Model"
š TL;DR: Given a text prompt, SVGDreamer can generate editable and versatile high-fidelity vector graphics.
š Description: In this work, the author has introduced SVGDreamer, an innovative model for text-guided vector graphics synthesis. SVGDreamer incorporates two crucial technical designs: semantic-driven image vectorization (SIVE) and vectorized particle-based score distillation (VPSD), which empower our model to generate vector graphics with high editability, superior visual quality, and notable diversity.
š„ Authors: [Ximing Xing](https://ximinng.github.io/), Haitao Zhou, Chuang Wang, [Jing zhang](https://hellojing89.github.io/), [Dong Xu](https://www.cs.hku.hk/index.php/people/academic-staff/dongxu), and [Qian Yu](https://yuqian1023.github.io/)
š Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA šŗšø
š Keywords: #SVGDreamer #Text-to-SVG #SVG #Diffusion #CVPR2024
Resources:
š arXiv Paper: https://arxiv.org/abs/2312.16476
š Github Page: https://ximinng.github.io/SVGDreamer-project/
š Code Repository: https://github.com/ximinng/SVGDreamer
š Blog: https://huggingface.co/blog/xingxm/svgdreamer