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jyoung105 /profile-avatar:ab30632f

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 face image
pose_image
string
Reference pose image
prompt
string
Portrait photo, hyperrealistic art, extremely high resolution details, detailed, photographic, volumetric lighting, realism pushed to extreme, fine texture, incredibly lifelike, intimidate mood, 8k
Input prompt
negative_prompt
string
Input negative prompt
gender
string (enum)
No choice

Options:

Male, Female, No choice

Pick the character's gender
width
integer
640

Min: 512

Max: 2048

Width of output image
height
integer
640

Min: 512

Max: 2048

Height of output image
num_inference_steps
integer
8

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
1

Min: 1

Max: 20

Scale for classifier-free guidance
ip_adapter_scale
number
0.8

Max: 1.5

Scale for image adapter strength (for detail)
controlnet_conditioning_scale
number
0.8

Max: 1.5

Scale for IdentityNet strength (for fidelity)
enable_pose_controlnet
boolean
True
Enable Openpose ControlNet, overrides strength if set to false
pose_strength
number
0.4

Max: 1

Openpose ControlNet strength, effective only if `enable_pose_controlnet` is true
enable_depth_controlnet
boolean
True
Enable Depth ControlNet, overrides strength if set to false
depth_strength
number
0.01

Max: 1

Depth ControlNet strength, effective only if `enable_depth_controlnet` is true
seed
integer
Random seed. Leave blank to randomize the seed
resemblance
number
0.95

Max: 1

Conditioning scale for controlnet
creativity
number
0.1

Max: 1

Denoising strength. 1 means total destruction of the original image
hdr
number
0

Max: 1

HDR improvement over the original image
enhance_face_region
boolean
True
Enhance non-face region
enable_safety_checker
boolean
True
Enable safety checker for generated images
enable_upscale
boolean
False
Enable to upscale images
enhance_upscale
boolean
False
Enhance by upscaling

Output schema

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

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