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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'}