Flux Kontext Prompt Library - Expert Prompts & Templates

**Flux Kontext** is a revolutionary family of AI models by **Black Forest Labs** that transforms image editing using natural language instructions. Unlike traditional tools that regenerate entire images, Flux Kontext makes **targeted edits with surgical precision** while preserving the rest of the image intact.

Flux Kontext offers three versions: - **[Pro]** - Provides state-of-the-art performance with high-quality outputs and great prompt following - **[Max]** - The premium model with maximum performance and improved typography generation - **[Dev]** - The upcoming open-weight version for developers and research

**Key advantages of Flux Kontext:** - **10x faster and cheaper** than competitors like OpenAI's GPT-4o - **6-12 second generation times** - **Superior accuracy** in preserving original details - **Avoids color tinting issues** - **Excels at maintaining character consistency** across edits

**Best practices for basic prompts:** - Use **specific verbs** like 'change', 'add', 'remove', 'replace' - Be **precise**: 'change the wall color to blue' instead of 'make it blue' - For **text changes**, use quotation marks: 'Replace "SALE" with "SOLD"' - **Start simple** and build complexity iteratively

**Character consistency techniques:** - Include **preservation phrases** like 'while keeping the same facial features' or 'maintaining the original character appearance' - Use **direct naming**: 'the woman with short black hair' instead of pronouns - **Example**: 'Change background to beach while keeping person in exact same position'

**Style transfer best practices:** - **Name styles explicitly**: 'convert to 90s cartoon style' or 'transform into watercolor painting' - Always **specify what to preserve**: 'maintain original composition while converting to pencil sketch' - **Break complex transformations** into step-by-step prompts

**Text editing guidelines:** - Always use **quotation marks** for exact text replacements - **Example**: 'Change the text in sunglasses to "FLUX" and "Kontext"' - Be **specific about text location**: 'Replace the sign text with "Welcome"' - This ensures Flux Kontext **targets correct text** while preserving styling

**Product visualization strategies:** - Be **specific about product context**: 'Show the sneakers on a wooden floor with natural lighting' - For **brand modifications**: 'Change logo color to corporate blue while maintaining design proportions' - Include **environment details** for better visualization results

**Background and object modification:** - Use **precise location descriptions**: 'Replace background with mountain landscape while keeping same perspective' - For **removal**: 'Remove the person on the left while maintaining natural composition' - Always **specify what should remain unchanged** to avoid unwanted alterations

**Iterative prompting approach:** 1. **Start with simple edits**: 'Remove background' 2. **Then add complexity**: 'Add forest setting' 3. **Finally refine**: 'Adjust lighting to match environment' - Build complexity **gradually** rather than attempting everything in one prompt - Each step should **reference previous successful changes**

**Common mistakes to avoid:** - **Vague instructions** like 'make it better' - Using **pronouns instead of descriptive phrases** - **Overloading prompts** with multiple changes - **Ambiguous commands** that could cause context-slip where the model misinterprets your intent

**Optimization strategies:** - Use **high-quality, well-lit source images** for best results - Make **one change per prompt** to ensure accuracy - Include **control phrases** like 'maintain original composition' to prevent unwanted changes - **Clear, specific language** yields faster, more accurate results

**Optimal use cases:** - **Image types**: Photos, drawings, paintings, and digital art - **Best applications**: - Quick color/style changes - Character consistency for storytelling - Product visualization - Brand asset adaptation - Iterative design workflows **Note**: Clear, well-lit images yield optimal results