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nightmareai /majesty-diffusion:35224932

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
clip_prompts
string
The portrait of a Majestic Princess, trending on artstation
Prompts for CLIP guidance, multiple prompts allowed, one per line. Supports weights.
latent_prompt
string
The portrait of a Majestic Princess, trending on artstation
Prompt for latent diffusion, single prompt, no weights.
height
integer (enum)
512

Options:

384, 512, 640, 768, 896

Output height
width
integer (enum)
512

Options:

384, 512, 640, 768, 896

Output width
init_image
string
Initial image (optional, used instead of noise if supplied)
init_mask
string
A mask same width and height as the initial image with the color white indicating where to inpaint
init_scale
integer
1000
Controls how much the init image should influence the final result. Experiment with values around 1000
init_brightness
number
0
Init image brightness
clip_scale
integer
16000
Determines how much the CLIP prompts affect the image. Note the numeric scale is not the same as the latent prompt.
latent_scale
integer
12
Determines how much the latent_prompt affects the image. Lower help with text interpretation, higher help with composition. Try values between 0-15. If you see too much text, lower it
model
string (enum)
finetuned

Options:

original, finetuned, ongo, erlich

Latent diffusion model (recommended to stick with finetuned - ongo and erlich may need to download, taking extra time)
output_steps
integer (enum)
10

Options:

0, 5, 10, 20

Steps between outputs, 0 to disable progressive output. Minor speed impact.
custom_settings
string
Custom settings cfg content, for custom or API usage. See Majesty docs.

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',
 'x-cog-array-type': 'iterator'}