usamaehsan/realistic-vision-v5-inpainting

usamaehsan / realistic-vision-v5-inpainting

Better than SDXL Inpainting

Public
2.5K runs
GitHub

Run usamaehsan/realistic-vision-v5-inpainting with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
image	string		Input image
prompt	string	a tabby cat, high resolution, sitting on a park bench	None
mask	string		Mask image
negative_prompt	string	(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck	None
strength	number	0.8 Max: 1	strength/weight
image_size	number	612 Min: 128	max image height/width
steps	integer	20 Max: 100	num_inference_steps
seed	integer		Leave blank to randomize

{
  "type": "object",
  "title": "Input",
  "required": [
    "image",
    "mask"
  ],
  "properties": {
    "mask": {
      "type": "string",
      "title": "Mask",
      "format": "uri",
      "x-order": 2,
      "description": "Mask image"
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 7,
      "description": "Leave blank to randomize"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Input image"
    },
    "steps": {
      "type": "integer",
      "title": "Steps",
      "default": 20,
      "maximum": 100,
      "minimum": 0,
      "x-order": 6,
      "description": " num_inference_steps"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "a tabby cat, high resolution, sitting on a park bench",
      "x-order": 1
    },
    "strength": {
      "type": "number",
      "title": "Strength",
      "default": 0.8,
      "maximum": 1,
      "minimum": 0,
      "x-order": 4,
      "description": "strength/weight"
    },
    "image_size": {
      "type": "number",
      "title": "Image Size",
      "default": 612,
      "minimum": 128,
      "x-order": 5,
      "description": "max image height/width"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
      "x-order": 3
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output",
  "format": "uri"
}