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Multi LoRA

Overview​

Multi LoRA is used to create image from text, using multiple LoRA models, based on trained or on public models.

Make an API call using your trained models or any public model by also passing multiple comma separated LoRA model IDs to the lora_model parameter, such as "more_details,cinnamon" for example.

tip

You can find a list of the public and LoRA models available and their IDs here.

Request​

--request POST 'https://modelslab.com/api/v6/images/text2img' \

Make a POST request to https://modelslab.com/api/v6/images/text2img endpoint and pass the required parameters in the request body.

Body Attributes​

ParameterDescriptionValues
keyYour API Key used for request authorization.string
model_idThe ID of the model to be used. It can be a public model or one you have trained.ID
promptA text description of what you want in the generated image.string
negative_promptItems you don't want in the image.string
widthThe width of the image.Maximum value is 1024 pixels.
heightThe height of the image.Maximum value is 1024 pixels.
samplesNumber of images to be returned in the response.Maximum value is 4.
num_inference_stepsThe number of denoising steps.values range from 1 to 20, and any value above 20 will be capped at 20.
safety_checkerA checker for NSFW images. If detected, such images will be replaced by a blank image.Default: "yes", Options: "yes"/"no"
enhance_promptEnhance prompts for better results.Default: "yes", Options: "yes"/"no"
seedUsed to reproduce results. The same seed will generate the same image again. Pass null for a random number.integral value
guidance_scaleScale for classifier-free guidance.Minimum 1, Maximum 20
multi_lingualAllow multilingual prompts to generate images. Set this to "yes" if you use a language other than English in your text prompts.YES or NO
panoramaSet this parameter to "yes" to generate a panorama image.YES or NO
self_attentionIf you want a high-quality image, set this parameter to "yes". Image generation will take more time.YES or NO
upscaleSet this parameter to "yes" if you want to upscale the image resolution two times (2x). For example, if the requested resolution is 512x512 pixels, the generated image will be 1024x1024 pixels.YES or NO
embeddings_modelUse this to pass an embeddings model (embeddings_model_id).ID
lora_modelPass LoRa model ID. Multiple LoRa models are supported; pass comma-separated values. Example: "contrast-fix,yae-miko-genshin".ID
lora_strengthSpecify the strength of the LoRa model you're using. If using multiple LoRa models, provide each value as a comma-separated range from minimum 0.1 to maximum 1.
schedulerUse this to set a scheduler.scheduler
webhookSet a URL to receive a POST API call once image generation is complete.URL
track_idThis ID is returned in the response to the webhook API call and is used to identify the webhook request.ID
clip_skipClip Skip.Minimum 1, Maximum 8
base64Get the response as a base64 string. Pass init_image, mask_image, and control_image as base64 strings to get a base64 response. Default is "no".Options: "yes"/"no"
tempCreate a temporary image link valid for 24 hours.Options: "yes"/"no"

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

Example​

Body​

Body
{
  "key": "",
  "model_id": "f222-diffusion",
  "prompt": "a female model doing photoshoot, ultra realistic face, ultra high resolution, 4K image",
  "negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",
  "width": "512",
  "height": "512",
  "samples": "1",
  "num_inference_steps": "31",
  "safety_checker": "yes",
  "enhance_prompt": "yes",
  "seed": null,
  "guidance_scale": 7.5,
  "panorama": "no",
  "self_attention": "no",
  "upscale": "no",
  "embeddings_model": null,
  "lora_model": "ganyu-lora,more_details",
  "lora_strength": "0.45,0.55",
  "scheduler": "UniPCMultistepScheduler",
  "webhook": null,
  "track_id": null
}

Request​

var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
  "key": "",
  "model_id": "f222-diffusion",
  "prompt": "a female model doing photoshoot, ultra realistic face, ultra high resolution, 4K image",
  "negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",
  "width": "512",
  "height": "512",
  "samples": "1",
  "num_inference_steps": "30",
  "safety_checker": "yes",
  "enhance_prompt": "yes",
  "seed": null,
  "guidance_scale": 7.5,
  "panorama": "no",
  "self_attention": "no",
  "upscale": "no",
  "embeddings_model": null,
  "lora_model": "ganyu-lora,more_details",
  "lora_strength": "0.45,0.55",
  "scheduler": "UniPCMultistepScheduler",
  "webhook": null,
  "track_id": null
});

var requestOptions = {
  method: 'POST',
  headers: myHeaders,
  body: raw,
  redirect: 'follow'
};

fetch("https://modelslab.com/api/v6/images/text2img", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

Response​

{
  "status": "processing",
  "tip": "Your image is processing in background, you can get this image using fetch API: here is link for fetch api : https://docs.modelslab.com/community-models-api-v4/dreamboothfetchqueimg",
  "eta": 13.067986918399999,
  "messege": "Try to fetch request after seconds estimated",
  "webhook_status": "",
  "fetch_result": "https://modelslab.com/api/v3/dreambooth/fetch/29763508",
  "id": 29763508,
  "output": [],
  "meta": {
    "prompt": " a female model doing photoshoot, ultra realistic face, ultra high resolution, 4K image hyperrealistic, full body, detailed clothing, highly detailed, cinematic lighting, stunningly beautiful, intricate, sharp focus, f/1. 8, 85mm, (centered image composition), (professionally color graded), ((bright soft diffused light)), volumetric fog, trending on instagram, trending on tumblr, HDR 4K, 8K",
    "model_id": "f222-diffusion",
    "negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime(child:1.5), ((((underage)))), ((((child)))), (((kid))), (((preteen))), (teen:1.5) ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, watermark, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, blurry, draft, grainy",
    "scheduler": "UniPCMultistepScheduler",
    "safety_checker": "yes",
    "W": 512,
    "H": 512,
    "guidance_scale": 7.5,
    "seed": 3361266218,
    "steps": 20,
    "n_samples": 1,
    "full_url": "no",
    "tomesd": "yes",
    "upscale": "no",
    "panorama": "no",
    "self_attention": "no",
    "use_karras_sigmas": "yes",
    "embeddings": null,
    "vae": null,
    "lora": "ganyu-lora,more_details",
    "lora_strength": "0.45,0.55",
    "clip_skip": 1,
    "temp": "no",
    "base64": "no",
    "file_prefix": "d00bf96e-8cec-40b4-a090-c87e7165f78e.png"
  },
  "future_links": [
    "https://cdn.stablediffusionapi.com/generations/0-d00bf96e-8cec-40b4-a090-c87e7165f78e.png"
  ]
}