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alexgenovese /test-endpoint:b00e416a
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'}