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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
|
1girl, masterpiece, best quality, highly detailed, sharp focus, dynamic lighting, vivid colors, texture detail, particle effects, storytelling elements, narrative flair, 16k, UE5, HDR, subject-background isolation
|
Input Prompt
|
| neg_prompt |
string
|
deformed iris, deformed pupils
|
Input Negative Prompt
|
| width |
None
|
1024
|
Width of Output Image
|
| height |
None
|
1024
|
Height of Output Image
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of Images to Output
|
| scheduler |
None
|
DPMSolverMultistep
|
Choose a Scheduler
|
| num_inference_steps |
integer
|
40
Min: 1 Max: 65 |
Number of Denoising Steps
|
| guidance_scale |
number
|
3.6
Min: 0.1 Max: 5 |
Scale for Classifier-free Guidance
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| use_lcm |
boolean
|
False
|
Whether to use LCM-LoRA, if using, suggested num_inference_steps 2-8, guidance_scale 1.0-2.0
|
| ping_flag |
boolean
|
False
|
Check Status
|
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'}