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aisha-ai-official /nova-anime-ilxl-v5.5:ac582da6
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 |
string
(enum)
|
Nova-Anime-ILXL-v5.5
Options: Nova-Anime-ILXL-v5.5 |
The model to use
|
vae |
string
(enum)
|
default
Options: default, Nova-Anime-ILXL-v5.5 |
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
|
5
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
|
2
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: "masterpiece, best quality, amazing quality, very aesthetic, high resolution, ultra-detailed, absurdres, newest, scenery, " Negative prompt: "modern, recent, old, oldest, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured, long body, lowres, bad anatomy, bad hands, missing fingers, extra digits, fewer digits, cropped, very displeasing, (worst quality, bad quality:1.2), bad anatomy, sketch, jpeg artifacts, signature, watermark, username, signature, simple background, conjoined,bad ai-generated, ")
|
scheduler |
string
(enum)
|
Euler a
Options: DPM++ 2M SDE Karras, UniPC, Heun, DDIM, DPM2 a, DPM2 a Karras, DPM SDE, DDPM, DPM++ SDE, DPM++ SDE Karras, LMS, LMS Karras, Euler a, Euler, PNDM, DPM2, DPM2 Karras, DEIS, DPM++ 2M, DPM++ 2M Karras, DPM++ 2M SDE |
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
|
face_yolov9c |
boolean
|
True
|
Use ADetailer face_yolov9c.pt
|
hand_yolov9c |
boolean
|
False
|
Use ADetailer hand_yolov9c.pt
|
person_yolov8m_seg |
boolean
|
False
|
Use ADetailer person_yolov8m-seg.pt
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}