You're looking at a specific version of this model. Jump to the model overview.
asiryan /triple-absolute-dreamshaper-meina:1db54417
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 |
|---|---|---|---|
| prompt |
string
|
close up Portrait photo of muscular bearded guy in a worn mech suit, ((light bokeh)), intricate, (steel metal [rust]), elegant, sharp focus, photo by greg rutkowski, soft lighting, vibrant colors, masterpiece, ((streets)), detailed face
|
Input prompt
|
| negative_prompt |
string
|
disfigured, kitsch, ugly, oversaturated, greain, low-res, deformed, blurry, bad anatomy, poorly drawn face, mutation, mutated, extra limb, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye
|
Input Negative Prompt
|
| model |
string
(enum)
|
AbsoluteRealityV181
Options: AbsoluteRealityV181, DreamShaperV8, MeinaHentaiV4 |
Stable Diffusion model
|
| width |
integer
|
512
Max: 1920 |
Width
|
| height |
integer
|
728
Max: 1920 |
Height
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output
|
| strength |
number
|
1
Max: 1 |
Strength/weight
|
| num_inference_steps |
integer
|
20
Max: 100 |
Number of inference steps
|
| guidance_scale |
number
|
7.5
Max: 10 |
Guidance scale
|
| scheduler |
string
(enum)
|
Euler A Karras
Options: Euler, Euler Karras, Euler A, Euler A Karras, Heun, LMS, LMS Karras, DDIM, DEIS, UniPC, PNDM, DPM++ 2M, DPM++ 2M Karras, DPM++ 2M SDE, DPM++ 2M SDE Karras, DPM++ SDE, DPM++ SDE Karras, DPM++ 2M Lu, DPM++ 2M Ef, DPM++ 2M SDE Lu, DPM++ 2M SDE Ef, DPM2, DPM2 Karras, DPM2 A, DPM2 A Karras, LCM |
Scheduler
|
| seed |
integer
|
Leave blank to randomize
|
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'}