Segmind Faceswap v4 Serverless API
Segmind FaceSwap v4 enables fast and precise face or head swapping between images with customizable options for style, output format, and image quality. Designed for creators and designers, it ensures natural-looking results with reproducibility through seed control for consistent outputs.
POST /v2/faceswap-v4 · submit + poll 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3import segmind
4
5# Async (v2): submit to the queue and block until COMPLETED.
6# run() returns the final result dict (600s deadline, 1.0s poll by default).
7result = segmind.run(
8 "faceswap-v4",
9 source_image="https://segmind-resources.s3.amazonaws.com/input/b872c581-a20a-4fda-98aa-b78d2e221ccb-v4-source-img.jpg",
10 target_image="https://segmind-resources.s3.amazonaws.com/output/7401f2ea-5652-4f2a-93d9-a587f1ccb62f-fs-v4-target.png",
11 seed=42,
12 model_type="speed",
13 swap_type="head",
14 style_type="normal",
15 image_format="png",
16 image_quality=90,
17 hardware="fast",
18)
19print(result["status"]) # COMPLETED
20print(result.get("output")) # model output (e.g. media URL)
21print(result["metrics"]["inference_time"]) # server compute seconds
22
23# --- Or submit + poll manually (track request_id, control the cadence) ---
24from segmind import SegmindClient, InferenceFailed, InferenceTimeout
25
26client = SegmindClient() # reads SEGMIND_API_KEY
27payload = {
28 "source_image": "https://segmind-resources.s3.amazonaws.com/input/b872c581-a20a-4fda-98aa-b78d2e221ccb-v4-source-img.jpg",
29 "target_image": "https://segmind-resources.s3.amazonaws.com/output/7401f2ea-5652-4f2a-93d9-a587f1ccb62f-fs-v4-target.png",
30 "seed": 42,
31 "model_type": "speed",
32 "swap_type": "head",
33 "style_type": "normal",
34 "image_format": "png",
35 "image_quality": 90,
36 "hardware": "fast",
37}
38job = client.submit_async("faceswap-v4", **payload)
39print(job.request_id) # available immediately
40try:
41 result = job.wait(timeout=600, interval=1.0)
42except InferenceTimeout as e:
43 print("still running:", e.request_id)
44except InferenceFailed as e:
45 print("failed:", e.detail) 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3import segmind
4
5# Async (v2): submit to the queue and block until COMPLETED.
6# run() returns the final result dict (600s deadline, 1.0s poll by default).
7result = segmind.run(
8 "faceswap-v4",
9 source_image="https://segmind-resources.s3.amazonaws.com/input/b872c581-a20a-4fda-98aa-b78d2e221ccb-v4-source-img.jpg",
10 target_image="https://segmind-resources.s3.amazonaws.com/output/7401f2ea-5652-4f2a-93d9-a587f1ccb62f-fs-v4-target.png",
11 seed=42,
12 model_type="speed",
13 swap_type="head",
14 style_type="normal",
15 image_format="png",
16 image_quality=90,
17 hardware="fast",
18)
19print(result["status"]) # COMPLETED
20print(result.get("output")) # model output (e.g. media URL)
21print(result["metrics"]["inference_time"]) # server compute seconds
22
23# --- Or submit + poll manually (track request_id, control the cadence) ---
24from segmind import SegmindClient, InferenceFailed, InferenceTimeout
25
26client = SegmindClient() # reads SEGMIND_API_KEY
27payload = {
28 "source_image": "https://segmind-resources.s3.amazonaws.com/input/b872c581-a20a-4fda-98aa-b78d2e221ccb-v4-source-img.jpg",
29 "target_image": "https://segmind-resources.s3.amazonaws.com/output/7401f2ea-5652-4f2a-93d9-a587f1ccb62f-fs-v4-target.png",
30 "seed": 42,
31 "model_type": "speed",
32 "swap_type": "head",
33 "style_type": "normal",
34 "image_format": "png",
35 "image_quality": 90,
36 "hardware": "fast",
37}
38job = client.submit_async("faceswap-v4", **payload)
39print(job.request_id) # available immediately
40try:
41 result = job.wait(timeout=600, interval=1.0)
42except InferenceTimeout as e:
43 print("still running:", e.request_id)
44except InferenceFailed as e:
45 print("failed:", e.detail)API Endpoint
https://api.segmind.com/v1/faceswap-v4Parameters
source_imagerequiredstring (uri)The image whose face will be used for the swap.
target_imagerequiredstring (uri)The image the face will be swapped into.
base64optionalbooleanReturn the output as base64 instead of a URL.
falsehardwareoptionalstringHardware tier to run on. Does not affect quality, only latency and cost.
"fast""fast""cost"image_formatoptionalstringOutput image file format.
"png""jpeg""png""webp"image_qualityoptionalintegerOutput image quality.
90Range: 10 - 100model_typeoptionalstringInference steps used for the swap. Speed uses 8 steps, quality uses 30.
"speed""speed""quality"seedoptionalintegerSeed for reproducible results.
42Range: 0 - 999999999999999style_typeoptionalstringNormal keeps the source style; style matches the target image's style.
"normal""normal""style"swap_typeoptionalstringSwap the entire head or just the face.
"head""head""face"Response Type
Returns: Image
Asynchronous requests (v2)
Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.
- 1
POST /v2/faceswap-v4Submit — returns request_id, status_url, response_url
- 2
GET /v2/requests/{id}/statusPoll — until COMPLETED or FAILED
- 3
GET /v2/requests/{id}Result — final response body
Status states
- A FAILED request is served as HTTP 422 — the body still carries the error detail.
- An unknown or expired request_id returns HTTP 404.
- Results are retained for 1 hour, then expire.
- Content / RAI blocks surface as FAILED, not a separate state.
- Track completion by polling the status endpoint.
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out