Ai Fat Filter
Playground
Try it on WavespeedAI!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
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?
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Instant transformation See a hilariously exaggerated version of any face in seconds.
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Realistic yet funny AI creates natural-looking transformations that are amusing without being uncanny.
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Meme-ready output Results are perfect for sharing, pranking friends, or creating viral content.
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Works on any face Selfies, group photos, celebrity pics — transform anyone (with their permission, of course).
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Quick laughs Upload → Transform → Laugh → Share. Simple as that.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Portrait photo to transform (URL or upload) |
How to Use
- Upload a photo — any clear face photo works.
- Run — AI works its magic.
- Laugh — enjoy the transformation.
- Share — send it to friends (and maybe run).
Pricing
| Output | Cost |
|---|---|
| Per image | $0.05 |
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
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-fat-filter" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The URL of the input image. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |