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zust-ai /zust-diffusion:4255e376

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
is_heartbeat
boolean
False
Check if server alive
pipe_type
string
txt2img
txt2img or img2img or multi_txt2img or multi_img2img
width
number
768
Width of the output image
height
number
768
Height of the output image
prompt
string
['standing on a dark marble platform, heavy shadow, in an outdoor patio, plants, flowers, fairy lights, high definition, ultra realistic, intricate']
Prompt
negative_prompt
string
['text, sign, signature, watermark, levitated, in the air, floating, gap, extras, person, male, female, artifacts, dazed, drawing, sketch, painting, low res, low quality, low-res, low resolution, fake, fuzzy, poor quality, amateur photography, out of focus, cropped, deformations']
Negative prompt
num_images_per_prompt
integer
1

Min: 1

Number of generations
num_inference_steps
integer
25

Min: 1

Iterations
seed
integer
Seed
prompt_strength
number
7.5

Min: 1

Prompt strength
background_strength
number
Strength of background for img2img
platform_control_strength
number

Max: 1

Platform ControlNet guidance
subject_control_strength
number

Max: 2

Subject ControlNet guidance
with_detail
boolean
False
Detailed output
platform
string
{'top': 0, 'left': 0, 'scale': 0.0013020833333333333, 'image_url': 'https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_background.png'}
Platform image for subject base
background
string
{'top': 0.71484375, 'left': 0.08203125, 'scale': 0.0013020833333333333, 'image_url': 'https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_platform.png'}
Background image for img2img
subjects
string
[{'top': 0.15885416666666666, 'left': 0.2916666666666667, 'scale': 0.0013020833333333333, 'image_url': 'https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_subject.png'}]
Subject placement settings and image urls
erode
integer
0
Erosion scale
with_cleanup
boolean
False
Cleanup using dilated mask
dilate_strength
integer
4
Dilate strength

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'}