​
Request

Make a POST request to below endpoint and pass the required parameters as a request body.
curl
--request POST 'https://modelslab.com/api/v1/enterprise/img2img' \
To use the load balancer, you need to have more than 1 server. Pass the first server’s API key, and it will handle the load balancing with the other servers.

​
Body

json
{  
  "key": "enterprise_api_key",  
  "model_id": "realistic-vision-51",  
  "prompt": "women playing tennis",  
  "negative_prompt": null,  
  "init_image": "https://i.pinimg.com/736x/20/ab/3d/20ab3df5c180e1cae812020bcfeb3093.jpg",  
  "samples": "1",  
  "num_inference_steps": "31",  
  "safety_checker": "yes",  
  "enhance_prompt": "yes",  
  "guidance_scale": 7.5,  
  "strength": 0.7,  
  "scheduler": "UniPCMultistepScheduler",  
  "seed": null,  
  "lora_model": null,  
  "tomesd": "yes",  
  "use_karras_sigmas": "yes",  
  "vae": null,  
  "lora_strength": null,  
  "webhook": null,  
  "track_id": null
}

​
Schedulers

This endpoint also supports schedulers. Use the “scheduler” parameter in the request body to pass a specific scheduler from the list below:
  • DDPMScheduler
  • DDIMScheduler
  • PNDMScheduler
  • LMSDiscreteScheduler
  • EulerDiscreteScheduler
  • EulerAncestralDiscreteScheduler
  • DPMSolverMultistepScheduler
  • HeunDiscreteScheduler
  • KDPM2DiscreteScheduler
  • DPMSolverSinglestepScheduler
  • KDPM2AncestralDiscreteScheduler
  • UniPCMultistepScheduler
  • DDIMInverseScheduler
  • DEISMultistepScheduler
  • IPNDMScheduler
  • KarrasVeScheduler
  • ScoreSdeVeScheduler
  • LCMScheduler

​
Body Attributes

​
key
string
required
Your enterprise API Key used for request authorization.
​
model_id
string
required
The ID of the model to be used. It can be public or your trained model.
​
prompt
string
required
Text prompt with description of the things you want in the image to be generated.
​
negative_prompt
string
Items you don’t want in the image.
​
init_image
string
Link to the initial image.
​
width
number
default:"512"
Width of the image. Maximum: 1024.
​
height
number
default:"512"
Height of the image. Maximum: 1024.
​
samples
number
default:"1"
Number of images to return. Maximum: 4.
​
num_inference_steps
number
default:"21"
Number of denoising steps. Allowed values: 21, 31, or 41.
​
safety_checker
string
default:"yes"
NSFW image checker. If detected, replaces the image with blank. Options: yes/no.
​
safety_checker_type
string
default:"sensitive_content_text"
Action to apply if NSFW content is detected. Options: blur, sensitive_content_text, pixelate, black.
​
guidance_scale
number
default:"7.5"
Scale for classifier-free guidance (range: 1–20).
​
strength
number
default:"0.7"
Prompt strength when using init_image. 1.0 fully overrides the init image.
​
clip_skip
number
Clip Skip value. Range: 1–8.
​
seed
number
Seed for reproducibility. Pass null for random generation.
​
webhook
string
URL to receive a POST callback once the image generation is complete.
​
track_id
string
ID returned in webhook callback to identify the request.