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aisha-ai-official /cinero-illustrious-v4:cb17f222
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)
|
CinEro-Illustrious-v4
Options: CinEro-Illustrious-v4 |
The model to use
|
| vae |
string
(enum)
|
default
Options: default, Liquid111, NeptuniaXL-VAE-ContrastSaturation, CinEro-Illustrious-v4 |
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 |
Amount to rescale CFG generated noise to avoid overexposed images, set to 0 or 1 to disable
|
| pag_scale |
number
|
0
Max: 50 |
PAG scale is similar to CFG but improves the result; set to 0 to disable
|
| clip_skip |
integer
|
1
Min: 1 |
How many CLIP layers to skip; 1 means no skip
|
| width |
integer
|
1080
Min: 1 Max: 4096 |
The width of the image
|
| height |
integer
|
1080
Min: 1 Max: 4096 |
The height of the image
|
| upscale |
string
(enum)
|
Original
Options: Original, x2, x4, x8 |
Upscale factor
|
| refiner |
boolean
|
False
|
Enable image refiner using model
|
| refiner_prompt |
string
|
|
The prompt of refiner (leave empty for default correct hands and details)
|
| refiner_strength |
number
|
0.4
Max: 1 |
Refiner strength (0.0 to 1.0)
|
| prepend_preprompt |
boolean
|
True
|
Prepend preprompt (Prompt: "best quality, absurdres," | Negative prompt: "(ugly:1.35), (worst quality, low quality, normal quality:1.4), watermark, text, signature, logo, artist name, (bad anatomy, malformed hands:1.3), extra fingers, extra limbs, (plastic skin, doll-like:1.2), unrealistic skin texture, lack of skin pores, (blurry, out of focus:1.1), jpeg artifacts, lowres, (flat lighting, overprocessed:1.3), oversaturated, (underexposed, overexposed:1.4), (mobile photo, digital art, CGI, 3D render, cartoon, anime, painting:1.4)")
|
| 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
|
40
Min: 1 Max: 100 |
Number of steps when generating
|
| seed |
integer
|
-1
|
The seed for generation; set to -1 for random seed
|
| adetailer_face |
boolean
|
False
|
Use ADetailer face_yolov9c.pt
|
| adetailer_face_prompt |
string
|
|
ADetailer face prompt (if blank, will use the image prompt)
|
| adetailer_face_negative_prompt |
string
|
|
ADetailer face negative prompt (if blank, will use: blurry, deformed face, extra features, unrealistic skin texture, oversmoothed, low resolution, artifacts)
|
| adetailer_hand |
boolean
|
False
|
Use ADetailer hand_yolov9c.pt
|
| adetailer_hand_prompt |
string
|
|
ADetailer hand prompt (if blank, will use: detailed hands, realistic anatomy, well-defined fingers, natural pose, soft shadows, high resolution, intricate details)
|
| adetailer_hand_negative_prompt |
string
|
|
ADetailer hand negative prompt (if blank, will use: extra fingers, fused or missing fingers, blurry, distorted, low detail, poorly drawn, unnatural proportions)
|
| adetailer_person |
boolean
|
False
|
Use ADetailer person_yolov8m-seg.pt
|
| adetailer_person_prompt |
string
|
|
ADetailer person prompt (if blank, will use: best quality, detailed, realistic shadows)
|
| adetailer_person_negative_prompt |
string
|
|
ADetailer person negative prompt (if blank, will use: deformed, unrealistic proportions, extra limbs, blurred, low quality, distorted pose, exaggerated features)
|
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'}