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| # LLaVA Chat User Guide | |
| ## Introduction | |
| Welcome to LLaVA Chat! This guide will help you get started with using our AI-powered image understanding and chat interface. LLaVA (Large Language and Vision Assistant) combines advanced vision and language models to provide detailed analysis and natural conversations about images. | |
| ## Getting Started | |
| ### Accessing the Interface | |
| 1. Visit our [Hugging Face Space](https://huggingface.co/spaces/Prashant26am/llava-chat) | |
| 2. Wait for the interface to load (this may take a few moments as the model initializes) | |
| 3. You're ready to start chatting with images! | |
| ### Basic Usage | |
| 1. **Upload an Image** | |
| - Click the image upload area or drag and drop an image | |
| - Supported formats: JPEG, PNG, GIF | |
| - Maximum file size: 10MB | |
| 2. **Enter Your Prompt** | |
| - Type your question or prompt in the text box | |
| - Be specific about what you want to know | |
| - You can ask multiple questions about the same image | |
| 3. **Adjust Parameters** (Optional) | |
| - Click "Generation Parameters" to expand | |
| - Modify settings to control the response: | |
| - Max New Tokens: Longer responses (64-2048) | |
| - Temperature: More creative responses (0.1-1.0) | |
| - Top P: More diverse responses (0.1-1.0) | |
| 4. **Generate Response** | |
| - Click the "Generate Response" button | |
| - Wait for the model to process (usually a few seconds) | |
| - Read the response in the output box | |
| - Use the copy button to save the response | |
| ## Best Practices | |
| ### Writing Effective Prompts | |
| 1. **Be Specific** | |
| - Instead of "What's in this image?", try "What objects can you identify in this image?" | |
| - Instead of "Describe this", try "Describe the scene, focusing on the main subject" | |
| 2. **Ask Follow-up Questions** | |
| - "What emotions does this image convey?" | |
| - "Can you identify any specific details about [object]?" | |
| - "How would you describe the composition of this image?" | |
| 3. **Use Natural Language** | |
| - Write as if you're talking to a person | |
| - Feel free to ask for clarification or more details | |
| - You can have a conversation about the image | |
| ### Example Prompts | |
| 1. **General Analysis** | |
| - "What can you see in this image?" | |
| - "Describe this scene in detail" | |
| - "What's the main subject of this image?" | |
| 2. **Specific Details** | |
| - "What colors are prominent in this image?" | |
| - "Can you identify any text or signs in the image?" | |
| - "What time of day does this image appear to be taken?" | |
| 3. **Emotional Response** | |
| - "What mood or atmosphere does this image convey?" | |
| - "How does this image make you feel?" | |
| - "What emotions might this image evoke in viewers?" | |
| 4. **Technical Analysis** | |
| - "What's the composition of this image?" | |
| - "How would you describe the lighting in this image?" | |
| - "What camera angle or perspective is used?" | |
| ## Troubleshooting | |
| ### Common Issues | |
| 1. **Image Not Loading** | |
| - Check file format (JPEG, PNG, GIF) | |
| - Ensure file size is under 10MB | |
| - Try refreshing the page | |
| 2. **Slow Response** | |
| - Reduce image size | |
| - Simplify your prompt | |
| - Check your internet connection | |
| 3. **Unexpected Responses** | |
| - Try rephrasing your prompt | |
| - Adjust generation parameters | |
| - Be more specific in your question | |
| ### Getting Help | |
| If you encounter any issues: | |
| 1. Check this guide for solutions | |
| 2. Visit our [GitHub repository](https://github.com/Prashant-ambati/llava-implementation) | |
| 3. Open an issue on GitHub | |
| 4. Contact us through Hugging Face | |
| ## Advanced Usage | |
| ### Parameter Tuning | |
| 1. **Max New Tokens** | |
| - Lower values (64-256): Short, concise responses | |
| - Medium values (256-512): Balanced responses | |
| - Higher values (512+): Detailed, comprehensive responses | |
| 2. **Temperature** | |
| - Lower values (0.1-0.3): More focused, deterministic responses | |
| - Medium values (0.4-0.7): Balanced creativity | |
| - Higher values (0.8-1.0): More creative, diverse responses | |
| 3. **Top P** | |
| - Lower values (0.1-0.3): More focused word choice | |
| - Medium values (0.4-0.7): Balanced diversity | |
| - Higher values (0.8-1.0): More diverse word choice | |
| ### Tips for Better Results | |
| 1. **Image Quality** | |
| - Use clear, well-lit images | |
| - Ensure the subject is clearly visible | |
| - Avoid heavily edited or filtered images | |
| 2. **Prompt Engineering** | |
| - Start with simple questions | |
| - Build up to more complex queries | |
| - Use follow-up questions for details | |
| 3. **Response Management** | |
| - Copy important responses | |
| - Save interesting conversations | |
| - Compare responses with different parameters | |
| ## Privacy and Ethics | |
| 1. **Image Privacy** | |
| - Don't upload sensitive or private images | |
| - Be mindful of copyright | |
| - Respect others' privacy | |
| 2. **Responsible Use** | |
| - Use the tool ethically | |
| - Don't use for harmful purposes | |
| - Respect content guidelines | |
| ## Future Updates | |
| We're constantly improving LLaVA Chat. Planned features include: | |
| 1. Support for video input | |
| 2. Batch image processing | |
| 3. More advanced parameter controls | |
| 4. Additional model options | |
| 5. Enhanced response formatting | |
| Stay tuned for updates! |