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catacolabs /sdxl-ad-inpaint:9c0cb4c5
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
|
Remove background from this image
|
|
product_fill |
string
(enum)
|
Original
Options: Original, 80, 70, 60, 50, 40, 30, 20 |
What percentage of the image width to fill with product
|
prompt |
string
|
Describe the new setting for your product
|
|
negative_prompt |
string
|
low quality, out of frame, illustration, 3d, sepia, painting, cartoons, sketch, watermark, text, Logo, advertisement
|
Describe what you do not want in your setting
|
img_size |
string
(enum)
|
1024, 1024
Options: 512, 2048, 512, 1984, 512, 1920, 512, 1856, 576, 1792, 576, 1728, 576, 1664, 640, 1600, 640, 1536, 704, 1472, 704, 1408, 704, 1344, 768, 1344, 768, 1280, 832, 1216, 832, 1152, 896, 1152, 896, 1088, 960, 1088, 960, 1024, 1024, 1024, 1024, 960, 1088, 960, 1088, 896, 1152, 896, 1152, 832, 1216, 832, 1280, 768, 1344, 768, 1408, 704, 1472, 704, 1536, 640, 1600, 640, 1664, 576, 1728, 576, 1792, 576, 1856, 512, 1920, 512, 1984, 512, 2048, 512 |
Possible SDXL image sizes
|
scheduler |
string
(enum)
|
K_EULER
Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM |
scheduler
|
num_inference_steps |
integer
|
40
|
Inference Steps
|
guidance_scale |
number
|
7.5
|
Guidance Scale
|
condition_scale |
number
|
0.9
Min: 0.3 Max: 0.9 |
controlnet conditioning scale for generalization
|
num_refine_steps |
integer
|
10
Max: 40 |
Number of steps to refine
|
apply_img |
boolean
|
True
|
Applies the original product image to the final result
|
seed |
integer
|
Empty or 0 for a random image
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'format': 'uri', 'title': 'Output', 'type': 'string'}