How to make an AI crying video

Start with a portrait, choose the mood and review the finished clip. This guide uses the real rain example shown alongside the steps.

Original AI-generated portrait of a fictional adult, used as input for this videoOriginal photo
AI video
  1. 01

    Choose one clear portrait

    Use a photo of one adult with visible eyes and mouth. You need permission to use the image. JPG, PNG and WebP files under 8 MB are supported.

  2. 02

    Crop for a vertical video

    Keep the face inside the 9:16 crop. Leave room around the eyes and chin; a tight or blurry face gives the model less information to work with.

  3. 03

    Pick a scene and emotion

    Choose night street, window light or neon rain. Holding back tears requests subtle emotion; Let it all out requests a more expressive take. Templates can preselect both controls.

  4. 04

    Generate, review and save

    Sign in with Google and check the credit cost before generating. The finished 10-second MP4 appears in My videos. Review it before downloading or sharing; AI results can vary.

Get a clearer result

The photo will not upload

Check the file type and size. Use a still image rather than an animated WebP. If decoding fails, export a fresh JPG from your photo editor and try that copy.

The face or hands look different

AI animation can alter fine details. Try a more clearly lit portrait or a less dramatic emotion. These changes are suggestions, not guaranteed fixes; each new generation uses credits.

The job is taking time

Check the existing task in My videos. A processing state is different from failure. Repeatedly creating new requests can make separate paid jobs, so let the existing request finish.

I need credits or refund help

A task marked failed returns its app credits. For order or refund questions, contact support@ai-crying.com with the task or order reference. The terms explain unused-credit refunds and cancellation.

Finish the idea with a free tool

The prompt builder lets you copy the scene directions without generating a video. The meme maker adds captions to a local picture and downloads a still PNG. Neither free tool spends video credits.