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usamaehsan /instant-id-x-juggernaut:074112de

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
prompt
string
analog film photo of a man. faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage, masterpiece, best quality
Input prompt
image
string
Input image
image2
string
face image2
pose_image
string
pose image
negative_prompt
string
Input Negative Prompt
width
integer
640

Max: 2048

Width for face detection
height
integer
640

Max: 2048

Height for face detection
scheduler
string (enum)
UniPCMultistep

Options:

LCMScheduler, DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep, KDPM2DiscreteScheduler, KDPM2AncestralDiscreteScheduler

Choose a scheduler.
min_side
integer
1024

Max: 2048

min resolution // if resize image is on
max_side
integer
1280

Max: 2048

min resolution // if resize image is on
resize_image
boolean
True
None
enhance_face_region
boolean
True
None
use_controlnet_pose
boolean
True
None
ip_adapter_scale
number
0.8

Max: 5

Scale for IP adapter
controlnet_conditioning_scale
number
0.8

Max: 5

Scale for ControlNet conditioning
pose_controlnet_conditioning_scale
number
0.8

Max: 5

Scale for ControlNet conditioning
num_inference_steps
integer
30

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
5

Min: 1

Max: 50

Scale for classifier-free guidance
micro_detail_lora_weight
number
0
disabled on 0

Output schema

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

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