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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
|
An acrylic painting featuring flowing, elegant strokes, set against a swirling backdrop of deep charcoal, slate gray, and ethereal white. Accents of radiant gold and soft amber cascade across the canvas, highlighted by delicate specks of luminescent gold dust.
|
Input prompt
|
| suffix_prompt |
string
|
Imagine the harmonious blend of graceful forms and cosmic elegance, where each curve and line tells a story amidst the celestial backdrop, captured in a luxurious interplay of dark and light hues.
|
Additional prompt
|
| negative_prompt |
string
|
worst quality, low quality, low resolution, blurry, ugly, disfigured, uncrafted, filled ring, packed ring, cross, star, distorted, stagnant, watermark
|
Input Negative Prompt
|
| sketch_type |
string
(enum)
|
PidNetCanny
Options: PidiNet, HED, Lineart, LineartAnime, Canny, PidNetCanny, HedCanny, PidNetHed, MLSD |
Choose the type of sketch detector
|
| weight_primary |
number
|
0.7
|
Weight for the primary sketch in the combination (e.g., PidiNet in PidiNetCanny).
|
| weight_secondary |
number
|
0.6
|
Weight for the secondary sketch in the combination (e.g., Canny in PidiNetCanny).
|
| blur_size |
integer
|
3
|
Gaussian blur kernel size (must be an odd number).
|
| kernel_size |
integer
|
3
|
Kernel size for morphological operations (must be an odd number).
|
| dilation_iterations |
integer
|
5
|
Number of iterations for dilation.
|
| erosion_iterations |
integer
|
2
|
Number of iterations for erosion.
|
| use_canny |
boolean
|
False
|
Whether to combine with 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 to generate a 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
|
| model_name |
string
|
|
The model name or leave blank to use default model
|
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'}