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Image or video generations

Image and video generation relies on AI models that interpret prompts differently. Results can vary depending on:

  • The model you selected

  • Whether you used a reference image

  • How specific your prompt was

  • Current system load

Even small prompt changes can lead to noticeably different results.


What to try first

For Images

For the best results, we strongly recommend:

  • Nano Banana

  • Nano Banana Pro

These models:

  • Are more consistent with faces

  • Preserve identity better

  • Have a lower failure rate

  • Use credits more efficiently

Avoid switching models mid-project, as this often causes inconsistent faces or styles.

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Videos

For the best results, we strongly recommend:

  • Veo 3.1

  • Sora 2

These models provide:

  • More stable video output

  • Better motion handling

  • Fewer failed generations

⚠️ Video generation uses more credits than images.

For better video results:

  • Keep prompts concise but specific

  • Avoid very long descriptions

  • Clearly specify:

    • Scene

    • Style

    • Camera motion (if needed)

    • Expected duration (if available)

Overly complex prompts often reduce accuracy.

2. Be very explicit in your prompt

Vague prompts often lead to unpredictable results.

Instead of:

  • “Make it better”

  • “Improve the face”

Try:

“Keep the same face, same ethnicity, same facial features, no changes to identity.”

The more specific you are, the better the outcome.

3. Use a reference image for people or faces

For images with people:

  • Start from a reference image whenever possible

  • Image-to-image edits are far more reliable than text-only prompts

  • This greatly improves facial consistency and accuracy

4. Generate fewer variations when accuracy matters

If you need precise results:

  • Generate fewer variations

  • Iterate slowly and deliberately

  • Avoid rapid retries with vague prompts

This reduces wasted credits and improves consistency.


Important credit information

Image and video generations consume credits once processed, even if:

  • The result is not what you expected

  • The output quality is poor

  • You retry or regenerate

Credits cannot be refunded or re-added. This behavior is expected.


Known limitations (not bugs)

The following are normal technical limitations:

  • Different models interpret faces differently

  • Switching models causes inconsistencies

  • Text-only prompts are less reliable for facial accuracy

  • Some generations may fail or appear delayed during high load

  • Feature availability can vary during backend updates

These are not considered bugs.


When to contact support

If generations consistently fail or don’t start at all, contact support and include:

  • The model you used

  • Whether it was an image or video

  • What prompt you used

  • Whether you used a reference image

  • What you expected vs what happened

This helps us identify genuine issues faster.