qwaezrx/ipadapter-faceid-faceswap-upscale

Generate face based images using ipadapter-faceid, faceswap, face restore, upscale.

Public

34 runs

Run qwaezrx/ipadapter-faceid-faceswap-upscale 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
positive_prompt	string	photo of a man, fashion model, simple clothes high quality, highly detailed, 4k, highres	Positive Prompt
negative_prompt	string	blurry, distorted, low quality, bad hands	Negative Prompt
face_image	string		Source image of the face
checkpoint	None	beautifulRealistic_v7.safetensors	SD 1.5 model checkpoint
num_inference_steps	integer	30	Steps
batch_size	integer	1 Min: 1 Max: 4	Number of images to generate in batch
repeat	integer	1	Repeat running this request (2 batch size, 2 repeat -> 2 * 2 images)
width	integer	512	None
height	integer	768	None
cfg	number	8	None
seed	integer		Sampling seed, leave Empty for Random
vae	None	vae-ft-mse-840000-ema-pruned.safetensors	None
sampler	None	euler	None
scheduler	None	normal	None
face_restore_model	None	GFPGANv1.4.pth	None
upscaler_model	None	4x-UltraSharp.pth	None
agree_to_research_only	boolean	False	You must agree to use this model only for research. It is not for commercial use.

{
  "type": "object",
  "title": "Input",
  "required": [
    "face_image"
  ],
  "properties": {
    "cfg": {
      "type": "number",
      "title": "Cfg",
      "default": 8,
      "x-order": 9
    },
    "vae": {
      "enum": [
        "vae-ft-mse-840000-ema-pruned.safetensors"
      ],
      "type": "string",
      "title": "vae",
      "description": "An enumeration.",
      "default": "vae-ft-mse-840000-ema-pruned.safetensors",
      "x-order": 11
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 10,
      "description": "Sampling seed, leave Empty for Random"
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "default": 512,
      "x-order": 7
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "default": 768,
      "x-order": 8
    },
    "repeat": {
      "type": "integer",
      "title": "Repeat",
      "default": 1,
      "x-order": 6,
      "description": "Repeat running this request (2 batch size, 2 repeat -> 2 * 2 images)"
    },
    "sampler": {
      "enum": [
        "euler",
        "euler_ancestral",
        "heun",
        "heunpp2",
        "dpm_2",
        "dpm_2_ancestral",
        "lms",
        "dpm_fast",
        "dpm_adaptive",
        "dpmpp_2s_ancestral",
        "dpmpp_sde",
        "dpmpp_sde_gpu",
        "dpmpp_2m",
        "dpmpp_2m_sde",
        "dpmpp_2m_sde_gpu",
        "dpmpp_3m_sde",
        "dpmpp_3m_sde_gpu",
        "ddpm",
        "lcm"
      ],
      "type": "string",
      "title": "sampler",
      "description": "An enumeration.",
      "default": "euler",
      "x-order": 12
    },
    "scheduler": {
      "enum": [
        "normal",
        "karras",
        "exponential",
        "sgm_uniform",
        "simple",
        "ddim_uniform"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "An enumeration.",
      "default": "normal",
      "x-order": 13
    },
    "batch_size": {
      "type": "integer",
      "title": "Batch Size",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 5,
      "description": "Number of images to generate in batch"
    },
    "checkpoint": {
      "enum": [
        "beautifulRealistic_v7.safetensors",
        "toonyou_beta6.safetensors",
        "darkSushiMixMix_225D.safetensors"
      ],
      "type": "string",
      "title": "checkpoint",
      "description": "SD 1.5 model checkpoint",
      "default": "beautifulRealistic_v7.safetensors",
      "x-order": 3
    },
    "face_image": {
      "type": "string",
      "title": "Face Image",
      "format": "uri",
      "x-order": 2,
      "description": "Source image of the face"
    },
    "upscaler_model": {
      "enum": [
        "4x-UltraSharp.pth",
        "RealESRGAN_x4.pth",
        "RealESRGAN_x2.pth"
      ],
      "type": "string",
      "title": "upscaler_model",
      "description": "An enumeration.",
      "default": "4x-UltraSharp.pth",
      "x-order": 15
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "blurry, distorted, low quality, bad hands",
      "x-order": 1,
      "description": "Negative Prompt"
    },
    "positive_prompt": {
      "type": "string",
      "title": "Positive Prompt",
      "default": "photo of a man, fashion model, simple clothes\n\nhigh quality, highly detailed, 4k, highres",
      "x-order": 0,
      "description": "Positive Prompt"
    },
    "face_restore_model": {
      "enum": [
        "GFPGANv1.4.pth",
        "RestoreFormer.pth"
      ],
      "type": "string",
      "title": "face_restore_model",
      "description": "An enumeration.",
      "default": "GFPGANv1.4.pth",
      "x-order": 14
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 30,
      "x-order": 4,
      "description": "Steps"
    },
    "agree_to_research_only": {
      "type": "boolean",
      "title": "Agree To Research Only",
      "default": false,
      "x-order": 16,
      "description": "You must agree to use this model only for research. It is not for commercial use."
    }
  }
}

Output schema

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

Schema

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