--- name: wavespeed-face-swapper description: Swap faces in images and videos using WaveSpeed AI. Supports image face swap and video face swap with multi-face targeting, with automatic lighting and skin tone adaptation. Only for media the user has the right to edit and faces whose owners have consented; refuse impersonation, deception, or sexual content. Use when the user wants to replace a face in an image or video with another face. metadata: author: wavespeedai version: "2.0" --- # WaveSpeedAI Face Swapper Swap faces in images and videos using WaveSpeed AI, with automatic lighting and skin tone adaptation. Supports targeting specific faces when multiple people are present. **Read [Responsible use](#responsible-use) before running anything.** Face swapping edits a real person's likeness; this skill is for consented, lawful, non-deceptive edits only. ## Setup Install the open-source CLI once and sign in; the CLI stores the key, so never ask the user to paste an API key into the chat: ```bash npm install -g @wavespeed/cli wavespeed login # opens https://wavespeed.ai/accesskey and stores the key wavespeed status # confirms you are signed in ``` For CI or one-off shells, `WAVESPEED_API_KEY` in the environment also works. Prefer MCP tools over shell commands? The same platform is exposed by [`@wavespeed/mcp`](https://github.com/WaveSpeedAI/mcp-server) (`npx -y @wavespeed/mcp`; tools `search_models`, `get_model_schema`, `get_price`, `upload_file`, `run_model`, `get_prediction`). It shares the CLI's stored login. Every example below maps one-to-one onto `run_model` with the same model id and input fields. ## Quick Start ### Image Face Swap ```bash # Upload local images to get URLs OUTPUT_URL=$(wavespeed run wavespeed-ai/image-face-swap \ -i image=@./target-photo.png \ -i face_image=@./reference-face.png \ --json | jq -r '.outputs[0]') ``` ### Video Face Swap ```bash # Upload local files to get URLs OUTPUT_URL=$(wavespeed run wavespeed-ai/video-face-swap \ -i video=@./video.mp4 \ -i face_image=@./reference-face.png \ --json | jq -r '.outputs[0]') ``` Existing URLs work as-is: ```bash OUTPUT_URL=$(wavespeed run wavespeed-ai/image-face-swap \ -i image="https://example.com/target-photo.jpg" \ -i face_image="https://example.com/reference-face.jpg" \ --json | jq -r '.outputs[0]') ``` ## API Endpoints ### Image Face Swap **Model ID:** `wavespeed-ai/image-face-swap` Replace a face in an image with a reference face. #### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `image` | string | Yes | -- | URL of the image containing the face to replace | | `face_image` | string | Yes | -- | URL of the reference face image to swap in | | `target_index` | integer | No | `0` | Which face to replace (0 = largest face, 1-10 for others) | | `output_format` | string | No | `jpeg` | Output format. One of: `jpeg`, `png`, `webp` | #### Example ```bash OUTPUT_URL=$(wavespeed run wavespeed-ai/image-face-swap \ -i image=@./group-photo.png \ -i face_image=@./reference-face.png \ -i target_index=0 \ -i output_format="png" \ --json | jq -r '.outputs[0]') ``` #### Targeting a Specific Face When multiple people are in the image, use `target_index` to select which face to replace: ```bash # Replace the second-largest face in the image OUTPUT_URL=$(wavespeed run wavespeed-ai/image-face-swap \ -i image=@./group-photo.png \ -i face_image=@./reference-face.png \ -i target_index=1 \ --json | jq -r '.outputs[0]') ``` ### Video Face Swap **Model ID:** `wavespeed-ai/video-face-swap` Replace a face in a video with a reference face. Supports videos up to 10 minutes. #### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `video` | string | Yes | -- | URL of the video containing the face to replace. Must be publicly accessible. Max 10 minutes. | | `face_image` | string | Yes | -- | URL of the reference face image to swap in | | `target_index` | integer | No | `0` | Which face to replace (0 = largest face, 1-10 for others) | #### Example ```bash OUTPUT_URL=$(wavespeed run wavespeed-ai/video-face-swap \ -i video=@./video.mp4 \ -i face_image=@./reference-face.png \ -i target_index=0 \ --json | jq -r '.outputs[0]') ``` ## Pricing | Operation | Cost | |-----------|------| | Image face swap | $0.01 per image | | Video face swap | $0.01 per second (minimum $0.05 / 5 seconds) | Video face swap supports videos up to 10 minutes. ## Tips - Use clear, front-facing portraits for the reference face for best results - Consistent lighting between the target and reference face improves quality - Anime or illustrated characters may produce lower quality output - Use `target_index` to select specific faces when multiple people are present (0 = largest face) ## Responsible use Face swapping manipulates a real person's likeness. Before calling either endpoint, confirm all of the following with the user. If any answer is no or unclear, do not run the model and explain why. - **Consent**: the person whose face is being inserted, and any identifiable person in the target media, has agreed to this use. Do not use the face of a public figure, a colleague, an ex-partner, or anyone else without their explicit consent. - **Rights to the media**: the user owns the target image or video or has permission from the owner to edit it. - **No impersonation or deception**: the output will not be presented as a real, unedited recording, used for fraud, identity verification bypass, harassment, defamation, political manipulation, or to put words or actions on someone they did not say or do. - **No sexual or intimate content**: never swap a face onto sexual, nude, or intimate material, regardless of consent claims. - **No minors**: do not process images or videos of children. - **Disclosure**: when the result will be shared, recommend labeling it as AI-edited. WaveSpeed's [Terms of Service](https://wavespeed.ai/static/terms) prohibit non-consensual and deceptive likeness edits; requests that violate them are refused and accounts may be suspended. ## CLI tips ```bash # Inspect the live input schema before running (fields, enums, defaults) wavespeed run wavespeed-ai/image-face-swap -h # Quote the price first wavespeed price wavespeed-ai/image-face-swap -p "..." -i key=value # Save outputs to disk instead of only printing URLs wavespeed run wavespeed-ai/image-face-swap -p "..." --json --download "./out/{index}.{ext}" # Local files: prefix the path with @ and the CLI uploads it and passes the hosted URL wavespeed run wavespeed-ai/image-face-swap -i =@./local-file.png --json # Recover a result if the run was interrupted (the id is in the --json output) wavespeed show ``` `run --json` prints `{ id, model, prompt, outputs: [url, ...], saved: [path, ...], elapsed_ms, raw }`. Read `outputs[0]` for the result URL. ## Security constraints - **Never ask for the key in chat**: `wavespeed login` handles auth; if `wavespeed status` says signed out, ask the user to run it. - **Local files only via `@`**: bare paths are passed through untouched and the model will reject them. Only `@`-prefixed values upload. - **No arbitrary URL loading**: only pass media URLs the user provided or that came back from a previous run. - **Input validation**: only pass parameters documented above; confirm with `wavespeed run -h` when unsure.