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Dreambooth V4 LoRA Multi

Overview​

The Dreambooth LoRA Multi 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://stablediffusionapi.com/api/v4/dreambooth' \

Make a POST request to https://stablediffusionapi.com/api/v4/dreambooth endpoint and pass the required parameters in the request body.

Body Attributes​

ParameterDescription
keyYour API Key used for request authorization
model_idThe ID of the model to be used. It can be public or your trained model.
promptText prompt with description of the things you want in the image to be generated
negative_promptItems you don't want in the image
widthMax Height: Width: 1024x1024
heightMax Height: Width: 1024x1024
samplesNumber of images to be returned in response. The maximum value is 4.
num_inference_stepsNumber of denoising steps (minimum: 1; maximum: 50)
safety_checkerA checker for NSFW images. If such an image is detected, it will be replaced by a blank image.
enhance_promptEnhance prompts for better results; default: yes, options: yes/no
seedSeed is used to reproduce results, same seed will give you same image in return again. Pass null for a random number.
guidance_scaleScale for classifier-free guidance (minimum: 1; maximum: 20)
multi_lingualAllow multi lingual prompt to generate images. Set this to "yes" if you use a language different from English in your text prompts.
panoramaSet this parameter to "yes" to generate a panorama image.
self_attentionIf you want a high quality image, set this parameter to "yes". In this case the image generation will take more time.
upscaleSet this parameter to "yes" if you want to upscale the given image resolution two times (2x). If the requested resolution is 512 x 512 px, the generated image will be 1024 x 1024 px.
embeddings_modelUse it to pass an embeddings model (embeddings_model_id).
lora_modelPass Lora model id, multi lora is supported, pass comma saparated values. Example "contrast-fix,yae-miko-genshin"
lora_strengthStrength of lora model you are using. If using multi lora, pass each values as comma saparated
schedulerUse it to set a scheduler.
webhookSet an URL to get a POST API call once the image generation is complete.
track_idThis ID is returned in the response to the webhook API call. This will be used to identify the webhook request.
clip_skipClip Skip (minimum: 1; maximum: 8)
base64Get response as base64 string, pass init_image, mask_image , control_image as base64 string, to get base64 response. default: "no", options: yes/no
tempCreate temp image link. This link is valid for 24 hours. temp: yes, options: yes/no

Multi_lingual Supported Languages​

If you use a language different from English in you text prompts, pass the "multi_lingual" parameter with "yes" value in the request body. This will trigger an automatic language detection and translation during the processing of your request.

The following languages are supported:

Arabic (ar_AR), Czech (cs_CZ), German (de_DE), English (en_XX), Spanish (es_XX), Estonian (et_EE), Finnish (fi_FI), French (fr_XX), Gujarati (gu_IN), Hindi (hi_IN), Italian (it_IT), Japanese (ja_XX), Kazakh (kk_KZ), Korean (ko_KR), Lithuanian (lt_LT), Latvian (lv_LV), Burmese (my_MM), Nepali (ne_NP), Dutch (nl_XX), Romanian (ro_RO), Russian (ru_RU), Sinhala (si_LK), Turkish (tr_TR), Vietnamese (vi_VN), Chinese (zh_CN), Afrikaans (af_ZA), Azerbaijani (az_AZ), Bengali (bn_IN), Persian (fa_IR), Hebrew (he_IL), Croatian (hr_HR), Indonesian (id_ID), Georgian (ka_GE), Khmer (km_KH), Macedonian (mk_MK), Malayalam (ml_IN), Mongolian (mn_MN), Marathi (mr_IN), Polish (pl_PL), Pashto (ps_AF), Portuguese (pt_XX), Swedish (sv_SE), Swahili (sw_KE), Tamil (ta_IN), Telugu (te_IN), Thai (th_TH), Tagalog (tl_XX), Ukrainian (uk_UA), Urdu (ur_PK), Xhosa (xh_ZA), Galician (gl_ES), Slovene (sl_SI)

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": "30",
  "safety_checker": "yes",
  "enhance_prompt": "yes",
  "seed": null,
  "guidance_scale": 7.5,
  "multi_lingual": "no",
  "panorama": "no",
  "self_attention": "no",
  "upscale": "no",
  "embeddings_model": null,
  "lora_model": "ganyu-lora,more_details",
  "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,
  "multi_lingual": "no",
  "panorama": "no",
  "self_attention": "no",
  "upscale": "no",
  "embeddings_model": null,
  "lora_model": "ganyu-lora,more_details",
  "scheduler": "UniPCMultistepScheduler",
  "webhook": null,
  "track_id": null
});

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

fetch("https://stablediffusionapi.com/api/v4/dreambooth", 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://stablediffusionapi.com/docs/community-models-api-v4/dreamboothfetchqueimg",
  "eta": 13.067986918399999,
  "messege": "Try to fetch request after seconds estimated",
  "webhook_status": "",
  "fetch_result": "https://stablediffusionapi.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",
    "multi_lingual": "no",
    "panorama": "no",
    "self_attention": "no",
    "use_karras_sigmas": "yes",
    "embeddings": null,
    "vae": null,
    "lora": "ganyu-lora,more_details",
    "lora_strength": 1,
    "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"
  ]
}