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zust-ai /zust-diffusion:8c05d370
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'}