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Image to Image Endpoint

Overview​

Dreambooth Image to Image API is used to generate an image from an image based on trained or on public models. Pass the appropriate request parameters to the endpoint to generate image from an image.

This endpoint generates and returns an image from an image passed with its URL in the request.

Together with the image you can add your description of the desired result by passing prompt and negative prompt. The dimensions of the generated image will be the same as the dimensions of the init_image.

Image to image endpoint result

Request​

--request POST 'https://modelslab.com/api/v6/images/img2img' \

Make a POST request to https://modelslab.com/api/v6/images/img2img endpoint and pass the required parameters as a request body to the endpoint.

Watch the how-to video to see it in action.

Body Attributes​

ParameterDescriptionValues
keyYour API Key used for request authorization.key
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
init_imageLink to the initial image to be used as a reference.URL
samplesThe number of images to be returned in the response.Maximum 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 is "yes"."yes"/"no"
safety_checker_typeHow to modify the image if NSFW content is found. Default is "sensitive_content_text"."blur", "sensitive_content_text", "pixelate", "black"
enhance_promptEnhance prompts for better results. Default is "yes"."yes"/"no"
enhance_styleAllows you to set the style of the image for better results. Available styles include: enhance, cinematic-diva, nude, nsfw, sex, abstract-expressionism, academia, action-figure, adorable-3d-character, adorable-kawaii, art-deco, art-nouveau, astral-aura, avant-garde, baroque, bauhaus-style-poster, blueprint-schematic-drawing, caricature, cel-shaded-art, character-design-sheet, classicism-art, color-field-painting, colored-pencil-art, conceptual-art, constructivism, cubism, dadaism, dark-fantasy, dark-moody-atmosphere, dmt-art, doodle-art, double-exposure, dripping-paint-splatter, expressionism, faded-polaroid-photo, fauvism, flat-2d, fortnite-style, futurism, glitchcore, glo-fi, googie-style, graffiti-art, harlem-renaissance-art, high-fashion, idyllic, impressionism, infographic-drawing, ink-dripping-drawing, japanese-ink-drawing, knolling-photography, light-cheery-atmosphere, logo-design, luxurious-elegance, macro-photography, mandola-art, marker-drawing, medievalism, minimalism, neo-baroque, neo-byzantine, neo-futurism, neo-impressionism, neo-rococo, neoclassicism, op-art, ornate-and-intricate, pencil-sketch-drawing, pop-art-2, rococo, silhouette-art, simple-vector-art, sketchup, steampunk-2, surrealism, suprematism, terragen, tranquil-relaxing-atmosphere, sticker-designs, vibrant-rim-light, volumetric-lighting, watercolor, whimsical-and-playful, sharp, masterpiece, photograph, negative, cinematic, ads-advertising, ads-automotive, ads-corporate, ads-fashion-editorial, ads-food-photography, ads-gourmet-food-photography, ads-luxury, ads-real-estate, ads-retail, abstract, abstract-expressionism, art-deco, art-nouveau, constructivist, cubist, expressionist, graffiti, hyperrealism, impressionist, pointillism, pop-art, psychedelic, renaissance, steampunk, surrealist, typography, watercolor, futuristic-biomechanical, futuristic-biomechanical-cyberpunk, futuristic-cybernetic, futuristic-cybernetic-robot, futuristic-cyberpunk-cityscape, futuristic-futuristic, futuristic-retro-cyberpunk, futuristic-retro, futuristic-sci-fi, futuristic-vaporwave, game-bubble, game-cyberpunk, game-fighting, game-gta, game-mario, game-minecraft, game-pokemon, game-retro-arcade, game-retro, game-rpg-fantasy, game-strategy, game-streetfighter, game-zelda, misc-architectural, misc-disco, misc-dreamscape, misc-dystopian, misc-fairy-tale, misc-gothic, misc-grunge, misc-horror, misc-kawaii, misc-lovecraftian, misc-macabre, misc-manga, misc-metropolis, misc-minimalist, misc-monochrome, misc-nautical, misc-space, misc-stained-glass, misc-techwear-fashion, misc-tribal, misc-zentangle, papercraft-collage, papercraft-flat-papercut, papercraft-kirigami, papercraft-paper-mache, papercraft-paper-quilling, papercraft-papercut-collage, papercraft-papercut-shadow-box, papercraft-stacked-papercut, papercraft-thick-layered-papercut, photo-alien, photo-film-noir, photo-glamour, photo-hdr, photo-iphone-photographic, photo-long-exposure, photo-neon-noir, photo-silhouette, photo-tilt-shift, 3d-model, analog-film, anime, cinematic, comic-book, craft-clay, digital-art, fantasy-art, isometric, line-art, lowpoly, neonpunk, origami, photographic, pixel-art, texture.
guidance_scaleScale for classifier-free guidance.Minimum 1, Maximum 20
tomesdEnable tomesd to generate images quickly. Default is "yes"."yes"/"no"
use_karras_sigmasUse Keras sigmas to generate images. Produces nice results. Default is "yes"."yes"/"no"
algorithm_typeUsed in the DPMSolverMultistepScheduler scheduler. Default is "none"."dpmsolver+++"
vaeUse a custom VAE for generating images. Default is null.string/null
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 0.1 to 1.float
lora_modelPass LoRa model ID. Multiple LoRa models are supported; pass comma-separated values (e.g., "contrast-fix, yae-miko-genshin").LoRa model IDs
strengthPrompt strength when using the initial image. 1.0 corresponds to full destruction of information in the initial image.0-1
seedUsed to reproduce results. The same seed will generate the same image again. Pass null for a random number.integral value/null
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
ip_adapter_idIP adapter ID. Supported IDs are ip-adapter_sdxl, ip-adapter_sd15, ip-adapter-plus-face_sd15, ip-adapter-plus_sdxl_vit-h, ip-adapter-plus-face_sdxl_vit-h.ID
ip_adapter_scaleScale for the IP adapter. Should be between 0 and 1.0-1
ip_adapter_imageValid image URL for the IP adapter.URL
clip_skipClip Skip.Minimum 1, Maximum 8
base64Get the response as a base64 string. Pass init_image as a base64 string to get a base64 response. Default is "no"."yes"/"no"
tempCreate a temporary image link valid for 24 hours."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": "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,
  "embeddings_model": null,
  "webhook": null,
  "track_id": null
}

Request​

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

var raw = JSON.stringify({

  "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,
  "embeddings_model": null,
  "webhook": null,
  "track_id": null
});

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

fetch("https://modelslab.com/api/v6/images/img2img", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

Response​

{
    "status": "success",
    "generationTime": 9.07,
    "id": 112514254,
    "output": [
        "https://d9jy2smsrdjcq.cloudfront.net/generations/0-8751f0cf-25f3-41ca-8259-e22d01d05143.png"
    ],
    "proxy_links": "",
    "nsfw_content_detected": false,
    "webhook_status": "",
    "meta": {
        "prompt": "women playing tennis 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": "realistic-vision-51",
        "scheduler": "UniPCMultistepScheduler",
        "safety_checker": "yes",
        "negative_prompt": " (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",
        "W": 736,
        "H": 736,
        "guidance_scale": 7.5,
        "init_image": "https://i.pinimg.com/736x/20/ab/3d/20ab3df5c180e1cae812020bcfeb3093.jpg",
        "steps": 30,
        "n_samples": 1,
        "strength": 0.7,
        "multi_lingual": "no",
        "tomesd": "yes",
        "use_karras_sigmas": "yes",
        "algorithm_type": "no",
        "safety_checker_type": "sensitive_content_text",
        "instant_response": "no",
        "full_url": "no",
        "upscale": "no",
        "vae": null,
        "ip_adapter_id": null,
        "enhance_prompt": "yes",
        "enhance_style": null,
        "ip_adapter_scale": 0.6,
        "ip_adapter_image": null,
        "lora": null,
        "lora_strength": 1,
        "embeddings": null,
        "seed": 4139316548,
        "outdir": "out",
        "file_prefix": "79920644-ac2e-42ff-9bee-d4aad967b016.png",
        "clip_skip": 1,
        "watermark": "no",
        "temp": "no",
        "base64": "no"
    },
    "tip": "Get 20x faster image generation using enterprise plan. Click here : https://modelslab.com/enterprise"
}