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prompthunt /testing:2dad8865

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
control_image
string
Optional Image to use for guidance based on posenet
pose_image
string
Direct Pose image to use for guidance based on posenet, if available, ignores control_image
image
string
Optional Image to use for img2img guidance
mask
string
Optional Mask to use for legacy inpainting
prompt
string
photo of cjw person
Input prompt
negative_prompt
string
Specify things to not see in the output. Supported embeddings: realisticvision-negative-embedding, EasyNegative, FastNegativeV2, BadDream, ng_deepnegative_v1_75t, UnrealisticDream, negative_hand-neg
width
integer
512
Width of output image
height
integer
512
Height of output image
num_outputs
integer
1

Min: 1

Max: 40

Number of images to output.
num_inference_steps
integer
50

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
7.5

Min: 1

Max: 50

Scale for classifier-free guidance
prompt_strength
number
0.8

Max: 1

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
scheduler
string (enum)
DPMSolverMultistep

Options:

DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep, KarrasDPM, DPM++SDEKarras

Choose a scheduler.
seed
integer
Random seed. Leave blank to randomize the seed
should_swap_face
boolean
False
Should swap face
source_image
string
Source image for face swap
show_debug_images
boolean
False
Show debug images
prompt_2
string
Input prompt
prompt_3
string
Input prompt
prompt_4
string
Input prompt
pose_image_2
string
Direct Pose image to use for guidance based on posenet, if available, ignores control_image
pose_image_3
string
Direct Pose image to use for guidance based on posenet, if available, ignores control_image
pose_image_4
string
Direct Pose image to use for guidance based on posenet, if available, ignores control_image
tile_strength
number
0.2
Tile strength
tile_steps
integer
32
Tile steps
tile_scale
number
1.5
Tile scale

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'}