Best Practices for AI Image Generation

Published: January 10, 2025 · Updated: July 31, 2026

Great MotionMuse results start before you click Generate. Source quality, clear intent, and the right template matter more than long, complicated prompts.

1. Start with a strong source image

Image-to-video models amplify whatever is already in the frame. A clean photo is the cheapest upgrade you can make.

Do

  • Use high-resolution photos
  • Match the pose to the template style
  • Keep one clear subject when testing

Avoid

  • Blurry or very dark phone shots
  • Tiny distant subjects
  • Screenshots of screenshots

2. Write prompts that describe motion

When you use custom prompts, describe what should move and how, not just the scene. Short, concrete phrases usually beat long poetic paragraphs.

Prompt checklist

One subject. One primary motion. One lighting note. Then generate. Iterate by changing a single variable at a time so you learn what actually improved the clip.

3. Choose templates intentionally

Templates encode motion patterns. If the template assumes a standing pose and your photo is a close-up selfie, expect awkward results. Browse styles that match body framing and intended action first.

4. Optimize for short clips

MotionMuse shines on short loops (about 4–6 seconds today, with longer options rolling out). Design for a clear beat:

5. Spend credits wisely

Test with a strong base image and 2–3 template variants before upgrading plans or topping up. Free daily credits are useful for experimentation; paid plans help when you need volume and priority queue. Review pricing and credit rates before larger batches.

6. Review privacy and content rules

Only upload images you have rights to use. Follow the platform Terms of Use, and never try to generate content involving real people without consent where that would be inappropriate or prohibited.

Put these tips into practice

Upload a clean photo, pick a matching template, and run a focused first generation.

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