How to Generate Videos from Text with Wan 2.7: Complete Guide
Wan 2.7 makes it easier than ever to generate videos from text using AI. Whether you’re a content creator, marketer, or filmmaker, this guide covers everything you need to know about Wan 2.7’s text-to-video capabilities.
What Is Text-to-Video in Wan 2.7?
Text-to-video is Wan 2.7’s flagship feature. You write a natural language description of a scene, and the AI generates a cinematic 1080P HD video matching your prompt. The model understands camera movements, lighting conditions, artistic styles, and complex motion dynamics.
How to Write Effective Prompts
The quality of your generated video depends heavily on your prompt. Here’s how to write prompts that get great results with Wan 2.7:
Include These Elements
- Subject: What or who is in the scene
- Action: What’s happening — movement, gestures, interactions
- Setting: Where the scene takes place
- Camera: Angle, movement (dolly, pan, tracking shot)
- Lighting: Natural, studio, golden hour, neon
- Mood: Cinematic, energetic, calm, dramatic
Example Prompts
Cinematic landscape:
A drone shot sweeping over misty mountains at sunrise, golden light breaking through clouds, cinematic color grading, smooth camera movement, 4K quality
Product showcase:
Close-up of a luxury watch rotating on a dark marble surface, soft studio lighting with rim highlights, shallow depth of field, slow rotation, commercial quality
Character scene:
A woman walking through a neon-lit Tokyo street at night, rain reflections on wet pavement, handheld camera following from behind, cyberpunk atmosphere
Configuring Your Video Settings
Wan 2.7 gives you control over several output parameters:
- Duration: 2 to 15 seconds — longer videos maintain consistency thanks to Wan 2.7’s temporal coherence
- Aspect ratio: 16:9 for landscape/YouTube, 9:16 for mobile/TikTok/Reels, 1:1 for Instagram
- Quality level: Balance between speed and detail
- Frame guidance: Optionally set first and/or last frames for precise control
Tips for Best Results
- Be specific: “A golden retriever running on a beach at sunset” beats “a dog outside”
- Describe motion: The AI needs to know what should move and how
- Reference camera work: Use film terminology — the model understands tracking shots, dolly zooms, and more
- Iterate: Generate multiple versions and refine your prompt based on results
- Use style keywords: Add terms like “cinematic”, “photorealistic”, “anime”, or “watercolor” to guide the aesthetic
Text-to-Video vs Image-to-Video
While text-to-video gives you maximum creative freedom, image-to-video is better when you have a specific visual reference. Many creators combine both — generating an initial frame with an image generator, then using Wan 2.7’s image-to-video to animate it.
Generation Speed
Wan 2.7 generates most text-to-video clips in 30 to 60 seconds depending on complexity and duration. The Mixture-of-Experts architecture activates only the relevant 14 billion of its 27 billion parameters per frame, delivering the fastest time-to-first-frame of any major AI video model.
Get Started
Wan 2.7 offers free daily credits for text-to-video generation with 1080P HD output and no watermarks. No credit card or technical setup required — start generating videos from text today.