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qr2ai /img2paint_controlnet:47ddad89
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 |
|---|---|---|---|
| qr_data |
string
|
QR Code Data
|
|
| image |
string
|
Input image for img2img or inpaint mode
|
|
| prompt |
string
|
vines and daisy colorful ink flow: 8k resolution photorealistic masterpiece intricately detailed fluid gouache painting calligraphy: acrylic: watercolor art, professional photography, natural lighting, volumetric lighting maximalist photo illustration 8k resolution concept art intricately detailed, complex, elegant, expansive, fantastical, white background
|
Input prompt
|
| negative_prompt |
string
|
low quality, bad quality, sketches, nsfw
|
Input Negative Prompt
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| condition_scale |
number
|
0.5
Max: 1 |
controlnet conditioning scale for generalization
|
| seed |
integer
|
130264517
|
Random seed. Set to 130264517 to randomize the seed
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}