When using AI image generation in CapCut, you may notice that people, objects, colors, poses, or scene elements differ significantly between generations—even with the same prompt. This is not a bug, but a core characteristic of generative AI models, which introduce randomness to produce diverse outputs.
As of December 2025, AI image generation ("AI Design") is available on:
- ✅ CapCut Web (CapCut Online)
- ✅ CapCut Desktop
- ❌ CapCut Mobile App – No user-accessible AI image generation feature
Below is a platform-specific breakdown of why this happens and how to gain more control:
✅ CapCut Web (CapCut Online)
Understand that each generation uses random noise
The AI starts from a different "seed" (a numerical value controlling randomness) every time unless fixed. This causes variations in facial features, object placement, clothing style, etc.
Use more precise and constrained prompts
Vague prompts like "a woman walking a dog" can yield endless interpretations. Instead, specify:
"A young East Asian woman with short black hair, wearing a red jacket and jeans, walking a golden retriever on a sunny city sidewalk, front view, photorealistic"
Avoid ambiguous or conflicting terms
Phrases like "futuristic yet vintage" or "crowded but empty" confuse the model and lead to unstable outputs.
Regenerate strategically—not randomly
If one result is close to your vision, note its visual traits and refine your prompt to reinforce them (e.g., add "same hairstyle," "identical dog breed").
📍 Tip: Use "My Projects" to review past generations
Go to AI Design → My Projects (below the input box) to compare versions and identify which prompt yielded the most consistent results.Detailed prompts greatly improve consistency.
✅ CapCut Desktop (Windows / macOS)
Recognize that randomness is built into the generation process
Even with identical prompts, the AI will produce different people, object arrangements, or lighting unless guided precisely.
Leverage advanced prompting for stability
Desktop supports richer prompt engineering. Include:
- Specific ethnicity, age, gender (if relevant)
- Exact object types ("vintage bicycle" vs. "bike")
- Camera angle ("low-angle shot," "eye-level")
- Style consistency ("consistent character design")
📍 Example:
"A 30-year-old Black man with curly hair, wearing glasses and a blue hoodie, sitting at a wooden desk with a MacBook, soft lighting, studio photo, consistent face across views"
Use Image-to-Image mode for better control
If you have a reference sketch or photo, upload it and set a low variation strength (e.g., 20–40%). This helps preserve key subjects while allowing AI enhancement.
Check if "Fix Subject" or "Character Lock" options are available
Some regions offer experimental features to maintain character consistency across generations—look for toggles like "Keep subject identity" near the generate button.
Save successful outputs in My Projects
Access via AI Design → My Projects to revisit and reuse prompts that produced stable results.
📍 Tip: Desktop offers the most control among all platforms. For critical projects requiring consistent characters or objects, always work here.
❌ CapCut Mobile App (iOS / Android)
As of December 2025, the Mobile app does not include a user-facing AI image generation tool.
🔑 General Recommendations to Reduce Unwanted Changes
- 1
- Be extremely specific in your prompts – the more detail, the less room for AI interpretation. 2
- Avoid abstract or poetic language – "mysterious traveler" is too vague; "man in trench coat holding an old suitcase, foggy London street, 1940s" is better. 3
- Use Image-to-Image when possible – it anchors the AI to your original composition. 4
- Regenerate in small batches and compare side-by-side using My Projects. 5
- Accept inherent variability – generative AI thrives on diversity; perfect consistency requires manual refinement or future "character lock" tools.
While current AI models prioritize creativity over repeatability, following these steps will help you steer outputs closer to your intended vision—especially on Desktop and Web.