face-to-many

Turn a face into 3D, emoji, pixel art, video game, claymation or toy

~23.24s

~$0.029

~23.24s

~$0.029

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/face-to-many"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "seed": 1321321,
12    "image": "https://segmind-sd-models.s3.amazonaws.com/display_images/Ftm_ip.png.jpg",
13    "style": "3D",
14    "prompt": "a person",
15    "lora_scale": 1,
16    "prompt_strength": 4.5,
17    "denoising_strength": 0.65,
18    "instant_id_strength": 1,
19    "control_depth_strength": 0.8
20}
21
22response = requests.post(url, headers=headers, json=data)
23
24if response.status_code == 200:
25    result = response.json()
26    print(json.dumps(result, indent=2))
27else:
28    print(f"Error: {response.status_code}")
29    print(response.text)

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/face-to-many"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "seed": 1321321,
12    "image": "https://segmind-sd-models.s3.amazonaws.com/display_images/Ftm_ip.png.jpg",
13    "style": "3D",
14    "prompt": "a person",
15    "lora_scale": 1,
16    "prompt_strength": 4.5,
17    "denoising_strength": 0.65,
18    "instant_id_strength": 1,
19    "control_depth_strength": 0.8
20}
21
22response = requests.post(url, headers=headers, json=data)
23
24if response.status_code == 200:
25    result = response.json()
26    print(json.dumps(result, indent=2))
27else:
28    print(f"Error: {response.status_code}")
29    print(response.text)

API Endpoint

POSThttps://api.segmind.com/v1/face-to-many

Parameters

control_depth_strengthoptional

number

Strength of depth controlnet. The bigger this is, the more controlnet affects the output.

Default: 0.8Range: 0 - 1

custom_lora_urloptional

string

URL to a Replicate custom LoRA. Must be in the format https://replicate.delivery/pbxt/[id]/trained_model.tar or https://pbxt.replicate.delivery/[id]/trained_model.tar

Default: null

denoising_strengthoptional

number

How much of the original image to keep. 1 is the complete destruction of the original image, 0 is the original image

Default: 0.65Range: 0 - 1

imageoptional

string (uri)

An image of a person to be converted

Default: "https://segmind-sd-models.s3.amazonaws.com/display_images/Ftm_ip.png.jpg"

instant_id_strengthoptional

number

How strong the InstantID will be.

Default: 1Range: 0 - 1

lora_scaleoptional

number

How strong the LoRA will be

Default: 1Range: 0 - 1

negative_promptoptional

string

Things you do not want in the image

Default: ""

promptoptional

string

Default: "a person"

prompt_strengthoptional

number

Strength of the prompt. This is the CFG scale, higher numbers lead to stronger prompt, lower numbers will keep more of a likeness to the original.

Default: 4.5Range: 0 - 20

seedoptional

integer

Fix the random seed for reproducibility

Default: -1

styleoptional

string

An enumeration.

Default: "3D"

Allowed values :

"3D""Emoji""Video game""Pixels""Clay""Toy"

Response Type

Returns: Image

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Model or endpoint not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out