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nightmareai /majesty-diffusion:4e30be5a

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
progressive_output
boolean
True
Progressive output (slows down generation)
model
string (enum)
finetuned

Options:

original, finetuned, ongo, erlich

Latent diffusion model (ongo and erlich may need to download, taking extra time)
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
custom_settings
string
Advanced settings file (will override any settings from above if present)

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'}