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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
|
Aerial perspective of an ethereal expanse crafted from glowing, (midnight blue and gold light trails), blending into a surreal void where swirling (cosmic dust and radiant particles) merge with a deep, celestial ring. The luminous bands and shimmering orbs seamlessly mix, creating a fluid, dynamic pattern that highlights the radiant glow and depth of the scene.
|
Input prompt
|
| suffix_prompt |
string
|
Ultra-clear focus, 8k resolution, UHD, capturing the cinematic fusion of abstract light art and cosmic elegance.
|
Additional prompt
|
| negative_prompt |
string
|
worst quality, low quality, low resolution, blurry, ugly, disfigured, uncrafted, distorted, stagnant, watermark, filled ring, packed stroke, packed hole, packed ring, packed shape
|
Input Negative Prompt
|
| use_canny |
boolean
|
False
|
Whether to use canny detector for better details
|
| lora_input |
string
|
|
Comma-separated list of LoRA models from Hugging Face or local paths. Leave empty to skip LoRA.
|
| lora_scale |
string
|
|
Comma-separated list of scales for each LoRA model. Must match the number of LoRAs. Leave empty if no LoRA is used.
|
| image |
string
|
Input image for img2img or inpaint mode
|
|
| width |
integer
|
1920
|
Width of output image
|
| height |
integer
|
1088
|
Height of output image
|
| generate_square |
boolean
|
False
|
Whether generate square image, assert height == width
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| num_inference_steps |
integer
|
35
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
12
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
| adapter_conditioning_scale |
number
|
0.97
Max: 2 |
Scale for adapter module
|
| seed |
integer
|
0
|
Random seed. Enter 0 to randomize the seed
|
| sampler |
string
(enum)
|
Euler a
Options: DPM++ 2M Karras, DPM++ 2M SDE Karras, DPM++ Karras SDE, DPM++ Karras, Euler, Euler a |
The sampling method
|
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'}