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joetm /camerabooth-openpose-style:cbe018fc

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
artwork
string
Input artwork image
prompt
string
Input prompt (optional). Leave blank to detect prompt from artwork input image with CLIP-Interrogator.
add_prompt
string
Additional prompt (optional), appended to the detected prompt
neg_prompt
string
(((nsfw))), (((text))), (((words))), ((low quality)), worst quality, bad quality, ((bad art)), lowres, ((disfigured)), ((deformed)), ((mutilated)), glitch, distorted, malformed, mutated, disfigured, misaligned, long neck, poorly drawn, blurry, blurred, mutated, bad arms, ((extra limbs)), missing arms, missing legs, disconnected limbs, bad hands, ((poorly drawn hands)), ((poorly drawn face)), deformed hands, ((extra fingers)), ((extra legs)), fused fingers, (too many fingers), mutated hands, amputated limbs, no arms, extra arms, multiple arms, more than two legs, bad proportions, longbody, bad anatomy, missing fingers, extra digit, fewer digits, deformed eyes, poorly drawn eyes, cross-eye, bad skin, multiple, duplicated, by Bad Artist, monochrome, monotone, grayscale, b&w, sketches, speech bubble, signature, watermark, border, logo, ((morbid)), tiling, canvas frame, frame, 3d, weird colors
Negative prompt (optional)
steps
integer
50

Min: 1

Max: 100

Number of denoising steps. Default: 50.
guidance_scale
number
7.5

Min: 1

Max: 50

Scale for classifier-free guidance. Default: 7.5.
resize_short_edge
integer
512
Optional: Resize image to specified dimension
clip_mode
string (enum)
best

Options:

best, classic, fast, negative

CLIP Interrogator prompt mode (best takes 10-20 seconds, fast takes 1-2 seconds). Default: best.
scale
number
2

Max: 4

Factor to scale image by
face_enhance
boolean
False
Run GFPGAN face enhancement along with upscaling
seed
integer
0
Random seed (optional). Set to 0 to randomize the seed

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'}