AI Fat Filter

AI Fat Filter

Playground

AI Fat Filter transforms a portrait image into a fun, exaggerated fat version. Upload a face photo and get an entertaining result. Ready-to-use REST inference API, no coldstarts, affordable pricing.

Features

AI Fat Filter adds a hilarious twist to any portrait — transforming faces into fun, chubby versions that are guaranteed to get laughs. Perfect for pranks, memes, and those “what if” moments. Upload a photo and prepare to giggle.

Why Choose This?

• Instant transformation See a hilariously exaggerated version of any face in seconds.

• Realistic yet funny AI creates natural-looking transformations that are amusing without being uncanny.

• Meme-ready output Results are perfect for sharing, pranking friends, or creating viral content.

• Works on any face Selfies, group photos, celebrity pics — transform anyone (with their permission, of course).

• Quick laughs Upload → Transform → Laugh → Share. Simple as that.

Parameters

How to Use

1. Upload a photo — any clear face photo works.
2. Run — AI works its magic.
3. Laugh — enjoy the transformation.
4. Share — send it to friends (and maybe run).

Pricing

Best Use Cases

• Friend pranks — Send them their “alternate universe” self.
• Party entertainment — Transform everyone at the party and vote on the funniest.
• Meme creation — Content gold for social media.
• Birthday gags — Add to birthday cards for extra laughs.
• Group chat fun — Guaranteed reactions in any group chat.

Pro Tips

• Clear, front-facing photos with good lighting work best.
• Full face visibility = better transformation.
• Higher resolution photos give funnier, more detailed results.
• Try it on yourself first before pranking others!
• Works great with celebrity photos too (for personal entertainment).

Notes

• Image is the only required field.
• Ensure uploaded image URLs are publicly accessible.
• For entertainment purposes only.
• Please use responsibly — only transform photos of people who would find it funny.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-fat-filter" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters