Best Practices

While there's no right or wrong way to write a prompt, following these best practices will help you achieve the results you envision. Click each recommendation for more context and examples

# 1. Use positive phrasing only Gen-4 is designed to interpret prompts that describe what should happen in your video, not what should be avoided. Negative phrasing is not supported and may produce unpredictable or even opposite results. ❌ No camera movement. The camera doesn't move. NO MOVEMENT ✅ Locked camera. The camera remains still. # 2. Use direct, simple, and easily understood prompts Avoid using overly conceptual language and phrasing when a simplistic description would efficiently convey the scene. Using prompts that describe the idea or feeling behind a motion, rather than the specific physical movements, may lead to unexpected results. Abstract concepts force the model to interpret your intention, often resulting in random or unexpected movements. Always translate conceptual ideas into clear, specific physical actions the model can understand. This direct approach eliminates ambiguity and provides the model with concrete instructions it can reliably execute. ❌ The subject embodies the essence of joyful greeting, manifesting an acknowledgment of presence in a welcoming manner that conveys inner happiness. ✅ The woman smiles and waves. # 3. Focus on describing the motion, rather than the input image Both text and image inputs are considered part of your prompt. Reiterating elements that exist within the image in high detail can lead to reduced motion or unexpected results in the output. ❌ The tall man with black hair wearing a blue business suit and red tie reaches out his hand for a handshake ✅ The man extends his arm to shake hands, then nods politely. # 4. Avoid conversational or command-based prompts While external LLMs thrive on natural conversation, Runway's models are designed to thrive on visual detail. Conversational elements like greetings or explanations waste valuable prompt space. Similarly, command-based prompts that request changes often lack the descriptions needed to convey how an element should behave in the output. For example, rather than directly asking to add or remove elements, instead describe how the elements should appear or disappear from the scene. ❌ can you please add my dog to the image? ✅ A dog excitedly runs into the scene from off-camera #5. Avoid overly complex prompts Gen-4 generates videos in 5 and 10 second clips, so it can be helpful to consider each generation as a single scene. Attempting to dictate each second of the video with multiple scene changes, subject actions, or style shifts may provide unintended results as the model attempts to reconcile too many disparate elements or contradictory instructions. In most cases, a simple description of the desired motion for a single scene will work well and allow the model to shine: ❌ a cat transforms into a dragon while jumping through a forest that changes seasons with each leap. The camera spins 360 degrees and zooms underwater where the dragon becomes a submarine in a neon cityscape. ✅ a cat transforms into a dragon while running through a forest.

Created: 6/26/2025

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AI Prompts, ChatGPT, Code Snippets, Prompt Engineering

Best Practices

While there's no right or wrong way to write a prompt, following these best practices will help you achieve the results you envision. Click each recommendation for more context and examples