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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 |
---|---|---|---|
name |
string
|
Enter the name for Arabic text generation
|
|
design_color |
string
(enum)
|
black
Options: black, orange, blue, green, gray, purple, gold, red, yellow, pink, brown, cyan, magenta, lime, olive, chocolate, maroon, navy, teal, salmon, plum, orchid, beige, lavender, coral, aquamarine, turquoise, sienna |
Choose the design color
|
final_color |
string
(enum)
|
white
Options: black, white, blue, green, gray, purple, gold, red, yellow, pink, brown, cyan, magenta, lime, olive, chocolate, maroon, navy, teal, salmon, plum, orchid, beige, lavender, coral, aquamarine, turquoise, orange |
Choose the final text color
|
blend_mode |
string
(enum)
|
normal
Options: normal, multiply, screen, overlay, darken, lighten, addition, subtract, difference, exclusion, hard_light, soft_light, color_dodge, color_burn |
Choose the blend mode for overlaying text
|
prompt |
string
|
Input prompt for design creation
|
|
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
|
0
|
Random seed. Set to 0 to randomize the seed
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'format': 'uri', 'title': 'Output', 'type': 'string'}