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lucataco /sdxl-img-blend:192db23e
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 |
|---|---|---|---|
| image1 |
string
|
Input image #1
|
|
| image2 |
string
|
Input image #2
|
|
| strength1 |
number
|
1
Min: 0.1 Max: 1.5 |
Strength of img1
|
| strength2 |
number
|
1
Min: 0.1 Max: 1.5 |
Strength of img2
|
| width |
integer
|
1024
|
Width of output image
|
| height |
integer
|
1024
|
Height of output image
|
| num_inference_steps |
integer
|
25
Min: 1 Max: 300 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
| scheduler |
string
(enum)
|
K_EULER
Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM |
Scheduler
|
| seed |
integer
|
Seed. Leave blank to randomize it
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}