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batouresearch /sdxl-outpainting-lora:a542ccf3

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
prompt
string
An astronaut riding a rainbow unicorn
Input prompt
outpaint_left
integer
0

Max: 512

How many pixels the mask should grow in the left direction
outpaint_right
integer
0

Max: 512

How many pixels the mask should grow in the right direction
outpaint_down
integer
0

Max: 512

How many pixels the mask should grow in the down direction
outpaint_up
integer
0

Max: 512

How many pixels the mask should grow in the up direction
image
string
Input image to inpaint
condition_scale
number
0.15

Max: 1

The bigger this number is, the more ControlNet interferes
lora_weights
string
Replicate LoRA weights to use. Leave blank to use the default weights.
lora_scale
number
0.8

Max: 1

LoRA additive scale. Only applicable on trained models.
negative_prompt
string
Input Negative Prompt
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output
scheduler
string (enum)
K_EULER

Options:

DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM

scheduler
guidance_scale
number
7.5

Min: 1

Max: 50

Scale for classifier-free guidance
seed
integer
Random seed. Leave blank to randomize the seed
apply_watermark
boolean
True
Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.

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'}