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zust-ai /zust-diffusion:072acdaf

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
with_detail
boolean
False
Detailed Output
pipe_type
string
zust_xl
SAM, photoshift, zust_fashion, zust_xl, upscale, enhance, cleanup
photoshift_cleanup_background
boolean
True
PhotoShift (Clean source image subject)
photoshift_scene
string
{"image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png"}
Photoshift subject image
photoshift_subject
string
[{"left": 0, "top": 0, "scale": 0.0009765625, "image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_raw2.png"}]
Photoshift subject image?
photoshift_noise
number
0.65
Add noise to masked area
photoshift_reference
number
0.35
IP-Adapter reference scale
photoshift_prompt_strength
number
1
BLIP Caption strength
tags
string
Product Tags (jewellery, topdown)
width
integer
1024
Width
height
integer
1024
height
prompt
string
a handbag on a sofa in a sunlit living room with a bookshelf, plush rug, and a framed painting on the wall
Prompt
negative_prompt
string
Negative Prompt
subjects
string
[{"left": 0, "top": 0, "scale": 0.0009765625, "image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_product/handbag_square.png"}]
Subject positions & URLs
is_premium
boolean
False
Is this a pro user?
controlnet_weight
number
0.8
Controlnet weight for the firstpass
controlnet_guidance_end
number
0.8
Controlnet guidance end for the firstpass
hires_noise
number
0.7
Noise strength for hires.fix
hires_reference
number
0.3
IP-Adapter reference from firstpass
hires_guidance_scale
number
5
Prompt strength for inpaint.fix
hires_use_eroded_mask
boolean
True
Use eroded mask for inpaint.fix
hires_use_pyramid_canny
boolean
False
Use Pyramid Canny for inpaint.fix
fashion_subject
string
{"left": 0, "top": 0, "scale": 0.0009765625, "image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq.png"}
Subject positions & URLs
fashion_mask
string
{"left": 0, "top": 0, "scale": 0.0009765625, "image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq_mask.png"}
Fashihon pose
enhance_subject
string
[{"left": 0, "top": 0, "scale": 0.0009765625, "image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/enhance_sub.png"}]
Subject data (this shouldn't change)
enhance_scene
string
{"left": 0, "top": 0, "scale": 0.0009765625, "image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/scene_to_be_enhanced.png"}
Scene to be enhanced
enhance_reference
number
0.25
IP-Adapter strength of scene. If 0 no Reference
enhance_noise
number
0.5
Noise to be added in the scene
enhance_prompt
string
Enhanced Prompt
enhance_negative_prompt
string
Negative Prompt
upscale_url
string
{"image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png"}
Upscale the Image
upscale_by
integer
2
Upscaling factor
sam_url
string
{"image_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png"}
Get SAM Embeddings
pikeya
string
Request Type

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'}