Fooocus
Fooocus enables high-quality image generation effortlessly, combining the best of Stable Diffusion and Midjourney.
1import requests
2import json
3
4url = "https://api.segmind.com/v1/fooocus"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "prompt": "cinematic 3D caricature of a woman, smiling, looking happy",
12 "negative_prompt": "lowquality, badquality, sketches",
13 "steps": 30,
14 "samples": 1,
15 "styles": "V2,Enhance,Sharp",
16 "aspect_ratio": "1024*1024",
17 "seed": 1849415,
18 "guidance_scale": 4,
19 "scheduler": "DPM++ 2M SDE Karras",
20 "base_model": "protovisionxl",
21 "faceswap_img": "https://segmind-sd-models.s3.amazonaws.com/display_images/fooocus-face-image.jpg",
22 "faceswap_cn_stop": 0.9,
23 "faceswap_cn_weight": 0.8,
24 "imageprompt_img": "https://segmind-sd-models.s3.amazonaws.com/display_images/fooocus-image-prompt.png",
25 "imageprompt_cn_stop": 0.5,
26 "imageprompt_cn_weight": 0.6,
27 "pyracanny_cn_stop": 0.5,
28 "pyracanny_cn_weight": 1,
29 "cpds_cn_stop": 0.5,
30 "cpds_cn_weight": 1,
31 "base64": false
32}
33
34response = requests.post(url, headers=headers, json=data)
35
36if response.status_code == 200:
37 result = response.json()
38 print(json.dumps(result, indent=2))
39else:
40 print(f"Error: {response.status_code}")
41 print(response.text)
1import requests
2import json
3
4url = "https://api.segmind.com/v1/fooocus"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "prompt": "cinematic 3D caricature of a woman, smiling, looking happy",
12 "negative_prompt": "lowquality, badquality, sketches",
13 "steps": 30,
14 "samples": 1,
15 "styles": "V2,Enhance,Sharp",
16 "aspect_ratio": "1024*1024",
17 "seed": 1849415,
18 "guidance_scale": 4,
19 "scheduler": "DPM++ 2M SDE Karras",
20 "base_model": "protovisionxl",
21 "faceswap_img": "https://segmind-sd-models.s3.amazonaws.com/display_images/fooocus-face-image.jpg",
22 "faceswap_cn_stop": 0.9,
23 "faceswap_cn_weight": 0.8,
24 "imageprompt_img": "https://segmind-sd-models.s3.amazonaws.com/display_images/fooocus-image-prompt.png",
25 "imageprompt_cn_stop": 0.5,
26 "imageprompt_cn_weight": 0.6,
27 "pyracanny_cn_stop": 0.5,
28 "pyracanny_cn_weight": 1,
29 "cpds_cn_stop": 0.5,
30 "cpds_cn_weight": 1,
31 "base64": false
32}
33
34response = requests.post(url, headers=headers, json=data)
35
36if response.status_code == 200:
37 result = response.json()
38 print(json.dumps(result, indent=2))
39else:
40 print(f"Error: {response.status_code}")
41 print(response.text)
API Endpoint
https://api.segmind.com/v1/fooocus
Parameters
prompt
requiredstring
Prompt to render
aspect_ratio
optionalstring
output image aspect ratio
"1024*1024"
"704*1408"
"704*1344"
"768*1344"
"768*1280"
"832*1216"
"832*1152"
"896*1152"
"896*1088"
"960*1088"
"768*1024"
+18 morebase_model
optionalstring
Model for inference
"juggernaut_v8"
"juggernaut_v8"
"Unstable_diffusers_v11"
"protovisionxl"
"realism_engine_v3"
"realVisXL"
"fluentlyXL"
base64
optionalboolean
Base64 encoding of the output image.
false
cpds_cn_stop
optionalnumber
image propmt
0.5
Range: 0 - 1.5cpds_cn_weight
optionalnumber
image propmt
1
Range: 0 - 1.5cpds_img
optionalstring (uri)
cpds_img
faceswap_cn_stop
optionalnumber
image propmt
0.9
Range: 0 - 1.5faceswap_cn_weight
optionalnumber
image propmt
0.8
Range: 0 - 1.5faceswap_img
optionalstring (uri)
faceswap_img
guidance_scale
optionalnumber
Scale for classifier-free guidance
4
Range: 1 - 25imageprompt_cn_stop
optionalnumber
image prompt
0.5
Range: 0 - 1.5imageprompt_cn_weight
optionalnumber
image propmt
0.6
Range: 0 - 1.5imageprompt_img
optionalstring (uri)
faceswap_img
negative_prompt
optionalstring
Prompts to exclude, eg. bad anatomy, bad hands, missing fingers
pyracanny_cn_stop
optionalnumber
image propmt
0.5
Range: 0 - 1.5pyracanny_cn_weight
optionalnumber
image propmt
1
Range: 0 - 1.5pyracanny_img
optionalstring (uri)
pyracanny_img
samples
optionalinteger
Number images to generate.
1
Range: 1 - 4scheduler
optionalstring
Type of scheduler.
"DPM++ SDE"
"DPM++ SDE Karras"
"DPM++ 2M Karras"
"DPM++ 2M SDE Karras"
"DPM++ 2M SDE Heun Karras"
"DPM++ 3M SDE Karras"
"LMS Karras"
"DPM2 Karras"
"DPM2 a Karras"
"DPM++ 2S a Karras"
"DPM++ 2M SDE Exponential"
+19 moreseed
optionalinteger
Seed for image generation.
-1
Range: -1 - 999999999999999steps
optionalinteger
Number of denoising steps.
30
Range: 20 - 100styles
optionalstring
Style selection
"V2,Enhance,Sharp"
Response Type
Returns: Image
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