prompthunt/cog-realistic-vision-v5.0-openpose

prompthunt / cog-realistic-vision-v5.0-openpose

Public
2 runs

Run prompthunt/cog-realistic-vision-v5.0-openpose 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 pose image
prompt	string	RAW photo, a portrait photo of a latina woman in casual clothes, 8k uhd, high quality, film grain, Fujifilm XT3	None
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
steps	integer	30 Max: 100	num_inference_steps
guidance	number	5	Guidance scale (3.5 - 7)
scheduler	string (enum)	MultistepDPM-Solver Options: EulerA, MultistepDPM-Solver	Choose a scheduler
width	integer	768 Max: 1920	Width
height	integer	768 Max: 1920	Height
seed	integer	0	Seed (0 = random, maximum: 2147483647)

{
  "type": "object",
  "title": "Input",
  "required": [
    "image"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "default": 0,
      "x-order": 8,
      "description": "Seed (0 = random, maximum: 2147483647)"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Input pose image"
    },
    "steps": {
      "type": "integer",
      "title": "Steps",
      "default": 30,
      "maximum": 100,
      "minimum": 0,
      "x-order": 3,
      "description": " num_inference_steps"
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "default": 768,
      "maximum": 1920,
      "minimum": 0,
      "x-order": 6,
      "description": "Width"
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "default": 768,
      "maximum": 1920,
      "minimum": 0,
      "x-order": 7,
      "description": "Height"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "RAW photo, a portrait photo of a latina woman in casual clothes, 8k uhd, high quality, film grain, Fujifilm XT3",
      "x-order": 1
    },
    "guidance": {
      "type": "number",
      "title": "Guidance",
      "default": 5,
      "x-order": 4,
      "description": "Guidance scale (3.5 - 7)"
    },
    "scheduler": {
      "enum": [
        "EulerA",
        "MultistepDPM-Solver"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "Choose a scheduler",
      "default": "MultistepDPM-Solver",
      "x-order": 5
    },
    "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": 2
    }
  }
}

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"
}