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zust-ai /zust-diffusion:55863373

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
integer
768
Width of the output image
height
integer
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
0.8
Strength of background for img2img
platform_control_strength
number
0.2

Max: 1

Platform ControlNet guidance
subject_control_strength
number
0.8

Max: 2

Subject ControlNet guidance
with_detail
boolean
False
Detailed output
platform
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"}
Platform image for subject base
background
string
{"top": 0, "left": 0, "scale": 0.0013020833333333333, "image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/test_background.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'}