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nightmareai /majesty-diffusion:be96ad8b

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_prompt
string
The portrait of a Majestic Princess, trending on artstation
Prompt for CLIP guidance
latent_prompt
string
The portrait of a Majestic Princess, trending on artstation
Prompt for latent diffusion
model
string (enum)
finetuned

Options:

original, finetuned, ongo, erlich

Latent diffusion model
latent_negatives
string
Negative prompts for Latent Diffusion
height
integer (enum)
256

Options:

128, 192, 256, 320, 384

Output height (output will be scaled up 1.5x with default settings)
width
integer (enum)
256

Options:

128, 192, 256, 320, 384

Output width (output will be scaled up 1.5x with default settings)
init_image
string
Initial image
init_mask
string
A mask same width and height as the original image with the color black 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
latent_scale
integer
12
The `latent_diffusion_guidance_scale` will determine how much the `latent_prompts` affect the image. Lower help with text interpretation, higher help with composition. Try values between 0-15. If you see too much text, lower it
clip_scale
integer
16000
CLIP guidance scale
aesthetic_loss_scale
integer
400
Aesthetic loss scale
starting_timestep
number
0.9
Starting timestep
num_batches
integer
1

Min: 1

Max: 10

Number of batches
custom_settings
string
Advanced settings file

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'}