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README.md
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---
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title: JoyCaption
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emoji: ๐จ
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colorFrom:
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sdk: gradio
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sdk_version: 5.12.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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short_description:
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suggested_hardware: zero-a10g
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suggested_storage: small
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---
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# ๐จ JoyCaption
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---
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title: JoyCaption Five-Tone Individual
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emoji: ๐จ
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 5.12.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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short_description: Five-tone individual caption generation system
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suggested_hardware: zero-a10g
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suggested_storage: small
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---
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# ๐จ JoyCaption Five-Tone Individual
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A specialized JoyCaption system with five distinct tones for individual caption generation.
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## ๐ฏ Five-Tone System
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โจ **Engaging**: Natural, flowing descriptions that capture appeal and mood
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๐ **Casual Friend**: Relaxed, friendly descriptions as if talking to a buddy
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๐ฅ **NSFW Visible**: Focuses on what's actually visible in explicit content
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๐ด **Uncensored + Keywords**: Bold, explicit descriptions enhanced with your keywords
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๐ฏ **Body Parts Focus**: Detailed focus on specific body parts with custom instructions
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## ๐ฎ Features
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### Individual Control
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- Generate only the tone you want, when you want
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- No simultaneous processing - true individual control
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- Each button works independently
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### Smart Inputs
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- **Keywords Input**: Used by Uncensored + Keywords tone
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- **Custom Instructions**: Used by Body Parts Focus tone
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- Both inputs only apply when their corresponding tone is used
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### Complete Sentences
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- Smart truncation at sentence boundaries
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- No more cut-off descriptions
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- Optimized prompt engineering for each tone
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### Copy-Friendly Output
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- Each caption has its own copy button
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- Reload buttons to regenerate specific tones
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- Clear labeling for each tone
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## ๐ Usage
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1. Upload an image
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2. Add keywords (for Uncensored + Keywords tone) - optional
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3. Add custom instruction (for Body Parts Focus tone) - optional
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4. Click ONLY the tone button you want
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5. Copy the result and use as needed
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6. Use reload button to regenerate that specific tone
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## ๐ง Technical Details
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- Built on JoyCaption Beta One model
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- Individual GPU-decorated functions for each tone
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- Tone-specific temperature and top_p settings
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- Smart error handling and corrections
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- Optimized for individual generation workflow
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