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aisha-ai-official /new-reality-xl-pro:579ab345

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
model
None
New-Reality-XL-Pro
The model to use
vae
None
default
The VAE to use
prompt
string
street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V
The prompt, uses Compel weighting syntax
negative_prompt
string
nsfw, naked
The negative prompt (For things you don't want), uses Compel weighting syntax
cfg_scale
number
4

Min: 1

Max: 50

CFG scale defines how much attention the model pays to the prompt when generating, set to 1 to disable
guidance_rescale
number
1

Max: 5

The amount to rescale CFG generated noise to avoid generating overexposed images, set to 0 or 1 to disable
pag_scale
number
0

Max: 50

PAG scale is similar to CFG but it literally makes the result better, it's compatible with CFG too, set to 0 to disable
clip_skip
integer
1

Min: 1

How many CLIP layers to skip, 1 is actually no skip, this is the behavior in A1111 so it's aligned to it
width
integer
1024

Min: 1

Max: 4096

The width of the image
height
integer
1024

Min: 1

Max: 4096

The height of the image
prepend_preprompt
boolean
True
Prepend preprompt (Prompt: "best quality, ultra detailed, realistic shadows, raytracing, " Negative prompt: "simplified, abstract, unrealistic, impressionistic, low resolution, lowres, bad anatomy, bad hands, missing fingers, worst quality, low quality, normal quality, cartoon, anime, drawing, sketch, illustration, artificial, poor quality, ")
scheduler
None
Euler a
The scheduler to use
steps
integer
30

Min: 1

Max: 100

The steps when generating
batch_size
integer
1

Min: 1

Max: 4

Number of images to generate (1-4), note if you set this to 4, some high resolution gens might fail because of not enough VRAM
seed
integer
-1
The seed used when generating, set to -1 for random seed

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'}