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qr2ai /outline:068f68d9

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.

Schema
{'items': {'format': 'uri', 'type': 'string'},
 'title': 'Output',
 'type': 'array'}