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alexgenovese /test-endpoint:7572bb36

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
base_model
string
SG161222/RealVisXL_V1.0
base_model HF sintax
prompt
string
An astronaut riding a rainbow unicorn
Input prompt
negative_prompt
string
Input Negative Prompt
width
integer
1024
Width of output image
height
integer
1024
Height of output image
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
num_inference_steps
integer
50

Min: 1

Max: 500

Number of denoising steps
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.
lora_urls
string
List of urls for safetensors of lora models, seperated with | .
lora_scales
string
0.5
List of scales for safetensors of lora models, seperated with |

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'}