| # CompI Phase 2.C: Emotional/Contextual Input to Image Generation | |
| ## 🌀 Overview | |
| Phase 2.C transforms emotions, moods, and feelings into stunning AI-generated art. This phase combines emotion detection, sentiment analysis, and contextual understanding to create artwork that resonates with your emotional state and inner feelings. | |
| ## ✨ Key Features | |
| ### 🎭 Emotion Processing | |
| - **Preset Emotions**: Choose from 25+ carefully curated emotions | |
| - **Custom Emotions**: Enter any emotion word or feeling | |
| - **Emoji Support**: Use emojis to express emotions naturally | |
| - **Descriptive Text**: Describe complex emotional states in your own words | |
| - **Sentiment Analysis**: Automatic emotion detection from text using TextBlob | |
| ### 🎨 Artistic Integration | |
| - **Emotion-to-Color Mapping**: Automatic color palette generation based on emotions | |
| - **Artistic Descriptors**: Emotion-specific visual styles and atmospheres | |
| - **Prompt Enhancement**: Intelligent fusion of emotions with creative prompts | |
| - **Intensity Levels**: Low, medium, and high emotional intensity processing | |
| - **Mood Modifiers**: Contextual atmosphere enhancement | |
| ### 🔧 Technical Capabilities | |
| - **Multi-Input Support**: Preset, custom, emoji, and text-based emotion input | |
| - **Confidence Scoring**: Emotion detection confidence levels | |
| - **Batch Processing**: Generate art for multiple emotions simultaneously | |
| - **Color Conditioning**: Optional color palette integration into prompts | |
| - **Comprehensive Metadata**: Detailed emotion analysis and generation tracking | |
| ## 🛠️ Installation & Setup | |
| ### Prerequisites | |
| Ensure you have the base CompI environment set up with all dependencies from `requirements.txt`. | |
| ### Additional Dependencies | |
| Phase 2.C uses existing CompI dependencies, specifically: | |
| - `textblob>=0.17.0` - Sentiment analysis and emotion detection | |
| - `emoji` (optional) - Enhanced emoji processing | |
| ### Optional Setup | |
| For enhanced sentiment analysis, download TextBlob corpora: | |
| ```bash | |
| python -m textblob.download_corpora | |
| ``` | |
| ## 🎯 Quick Start | |
| ### 1. Launch the Streamlit Interface | |
| ```bash | |
| # Navigate to your CompI project directory | |
| cd "C:\Users\Aksharajsinh\Documents\augment-projects\Project CompI" | |
| # Run the Phase 2.C interface | |
| streamlit run src/ui/compi_phase2c_streamlit_ui.py | |
| # Or use the main CompI interface | |
| streamlit run compi_complete_app.py | |
| # Then select "🌀 Phase 2.C: Emotion-to-Image" | |
| ``` | |
| ### 2. Using Preset Emotions | |
| 1. **Select "Preset Emotions"** as your input method | |
| 2. **Choose an emotion category** (Joy & Happiness, Love & Romance, etc.) | |
| 3. **Pick a specific emotion** from the category | |
| 4. **Enter your creative prompt** and style | |
| 5. **Generate** and watch your emotion transform into art! | |
| ### 3. Using Custom Emotions or Emojis | |
| 1. **Select "Custom Emotion/Emoji"** as your input method | |
| 2. **Type any emotion** (e.g., "contemplative", "bittersweet") | |
| 3. **Or use emojis** (🤩, 💫, 🌙) to express feelings | |
| 4. **Use quick emoji buttons** for common emotions | |
| 5. **Generate** emotion-infused artwork | |
| ### 4. Using Descriptive Text | |
| 1. **Select "Descriptive Text"** as your input method | |
| 2. **Describe your feeling** in natural language | |
| 3. **Example**: "I feel hopeful after the rain" or "There's anticipation in the air" | |
| 4. **AI analyzes sentiment** and extracts emotional context | |
| 5. **Generate** art based on your emotional description | |
| ## 📚 Emotion Categories & Examples | |
| ### 🌟 Joy & Happiness | |
| - **joyful**: Bright, radiant, effervescent artwork | |
| - **ecstatic**: High-energy, explosive, vibrant creations | |
| - **cheerful**: Light, uplifting, warm compositions | |
| - **uplifting**: Inspiring, elevating, positive imagery | |
| ### 💙 Sadness & Melancholy | |
| - **melancholic**: Wistful, contemplative, blue-toned art | |
| - **nostalgic**: Memory-tinged, sepia-like, reflective pieces | |
| - **somber**: Muted, serious, thoughtful compositions | |
| - **wistful**: Longing, gentle sadness, soft imagery | |
| ### ❤️ Love & Romance | |
| - **romantic**: Warm, tender, passionate artwork | |
| - **loving**: Affectionate, caring, heart-centered pieces | |
| - **passionate**: Intense, fiery, deep emotional art | |
| - **tender**: Gentle, soft, intimate compositions | |
| ### 🕊️ Peace & Serenity | |
| - **peaceful**: Calm, balanced, harmonious imagery | |
| - **serene**: Tranquil, still, meditative artwork | |
| - **tranquil**: Quiet, restful, soothing compositions | |
| - **harmonious**: Balanced, unified, flowing pieces | |
| ### 🔮 Mystery & Drama | |
| - **mysterious**: Enigmatic, shadowy, intriguing art | |
| - **dramatic**: Bold, intense, theatrical compositions | |
| - **enigmatic**: Puzzling, cryptic, thought-provoking pieces | |
| - **suspenseful**: Tension-filled, anticipatory artwork | |
| ### ⚡ Energy & Power | |
| - **energetic**: Dynamic, vibrant, high-movement art | |
| - **powerful**: Strong, bold, commanding compositions | |
| - **intense**: Deep, concentrated, focused imagery | |
| - **fierce**: Wild, untamed, strong emotional pieces | |
| ## 🎨 Creative Workflow | |
| ### 1. Emotion Selection Strategy | |
| - **Start with your current mood**: What are you feeling right now? | |
| - **Consider the artwork's purpose**: What emotion should it evoke? | |
| - **Match emotion to subject**: Align feelings with your prompt content | |
| - **Experiment with intensity**: Try different emotional strengths | |
| ### 2. Prompt Engineering with Emotions | |
| - **Base prompt**: Start with your core visual concept | |
| - **Emotion integration**: Let the system enhance with emotional context | |
| - **Style coordination**: Choose styles that complement your emotion | |
| - **Atmosphere setting**: Use mood modifiers for deeper impact | |
| ### 3. Emotion-Style Combinations | |
| | Emotion | Recommended Styles | Color Palettes | Atmosphere | | |
| |---------|-------------------|----------------|------------| | |
| | Joyful | impressionist, vibrant digital art | golds, oranges, bright blues | radiant, luminous | | |
| | Melancholic | oil painting, watercolor | blues, grays, muted tones | contemplative, wistful | | |
| | Romantic | soft digital art, renaissance | pinks, reds, warm tones | tender, passionate | | |
| | Mysterious | dark fantasy, gothic | purples, blacks, deep blues | enigmatic, shadowy | | |
| | Energetic | abstract, dynamic digital | bright colors, neons | electric, vibrant | | |
| | Peaceful | minimalist, zen art | soft greens, blues, whites | serene, harmonious | | |
| ## 🔧 Advanced Usage | |
| ### Programmatic Access | |
| ```python | |
| from src.generators.compi_phase2c_emotion_to_image import CompIPhase2CEmotionToImage | |
| # Initialize generator | |
| generator = CompIPhase2CEmotionToImage() | |
| # Generate with preset emotion | |
| results = generator.generate_image( | |
| text_prompt="A mystical forest", | |
| style="digital painting", | |
| emotion_input="mysterious", | |
| emotion_type="preset", | |
| enhancement_strength=0.8, | |
| num_images=2 | |
| ) | |
| # Generate with custom emotion | |
| results = generator.generate_image( | |
| text_prompt="Urban landscape", | |
| style="cyberpunk", | |
| emotion_input="🤖", | |
| emotion_type="custom", | |
| enhancement_strength=0.6 | |
| ) | |
| # Generate with descriptive text | |
| results = generator.generate_image( | |
| text_prompt="Mountain vista", | |
| style="landscape painting", | |
| emotion_input="I feel a sense of wonder and awe", | |
| emotion_type="text", | |
| contextual_text="Standing at the peak, overwhelmed by nature's beauty" | |
| ) | |
| ``` | |
| ### Batch Processing | |
| ```python | |
| # Process multiple emotions | |
| emotions = ["joyful", "melancholic", "mysterious", "energetic"] | |
| results = generator.batch_process_emotions( | |
| text_prompt="Abstract composition", | |
| style="modern art", | |
| emotions=emotions, | |
| enhancement_strength=0.7 | |
| ) | |
| # Color palette conditioning | |
| results = generator.generate_emotion_palette_art( | |
| text_prompt="Flowing water", | |
| style="fluid art", | |
| emotion_input="peaceful", | |
| use_color_conditioning=True | |
| ) | |
| ``` | |
| ## 📊 Understanding Emotion Analysis | |
| Phase 2.C analyzes emotions across multiple dimensions: | |
| ### Emotion Detection | |
| - **Primary Emotion**: Main detected emotion category | |
| - **Confidence Score**: How certain the system is (0-1) | |
| - **Secondary Emotions**: Related emotional states | |
| - **Intensity Level**: Low, medium, or high emotional strength | |
| ### Sentiment Analysis | |
| - **Polarity**: Negative (-1) to Positive (+1) sentiment | |
| - **Subjectivity**: Objective (0) to Subjective (1) content | |
| - **Keywords**: Emotion-related words detected in text | |
| - **Emojis**: Emotional emojis found in input | |
| ### Artistic Mapping | |
| - **Color Palette**: 3-5 colors representing the emotion | |
| - **Artistic Descriptors**: Visual style words (vibrant, muted, etc.) | |
| - **Mood Modifiers**: Atmospheric enhancements | |
| - **Enhancement Tags**: Descriptive tags for the emotion | |
| ## 🎯 Tips for Best Results | |
| ### Emotion Selection Tips | |
| 1. **Be specific**: "melancholic" is more precise than "sad" | |
| 2. **Consider intensity**: Strong emotions create more dramatic art | |
| 3. **Match context**: Align emotions with your prompt's subject matter | |
| 4. **Experiment freely**: Try unexpected emotion-prompt combinations | |
| ### Prompt Enhancement Tips | |
| 1. **Start simple**: Let emotions enhance rather than complicate | |
| 2. **Trust the system**: Emotion analysis often captures nuances you might miss | |
| 3. **Adjust strength**: Use the enhancement slider to control emotional impact | |
| 4. **Combine thoughtfully**: Ensure emotions complement your artistic vision | |
| ### Style Coordination Tips | |
| 1. **Emotional styles**: Some styles naturally align with certain emotions | |
| 2. **Color harmony**: Consider how emotion colors work with your chosen style | |
| 3. **Atmospheric consistency**: Ensure mood modifiers enhance rather than conflict | |
| 4. **Intensity matching**: High-intensity emotions work well with bold styles | |
| ## 🔍 Troubleshooting | |
| ### Common Issues | |
| **"Emotion not detected"** | |
| - Try more specific emotion words | |
| - Use descriptive phrases instead of single words | |
| - Check for typos in emotion input | |
| **"Weak emotional enhancement"** | |
| - Increase the enhancement strength slider | |
| - Use more emotionally charged language | |
| - Try preset emotions for stronger effects | |
| **"Conflicting emotional signals"** | |
| - Simplify your emotional input | |
| - Focus on one primary emotion | |
| - Avoid mixing opposing emotions | |
| ### Performance Optimization | |
| - Use preset emotions for fastest processing | |
| - Shorter descriptive texts analyze faster | |
| - Batch processing is more efficient for multiple emotions | |
| - GPU acceleration improves generation speed | |
| ## 🚀 Next Steps | |
| After mastering Phase 2.C, consider: | |
| 1. **Multimodal combinations**: Combine emotions with audio (Phase 2.A) or data (Phase 2.B) | |
| 2. **Emotional storytelling**: Create series of images with evolving emotions | |
| 3. **Personal emotion mapping**: Develop your own emotion-to-art style | |
| 4. **Therapeutic applications**: Use emotional art for self-expression and healing | |
| --- | |
| **Ready to transform your emotions into art?** Launch the interface and start creating emotionally-rich artwork! 🌀🎨✨ | |