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nevernotsean /scribble-stories:b6f50213

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Field Type Default value Description
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
Input image
invert_colors
boolean
False
Invert the colors of the control image. Use this for scribbles with black strokes on a white background.
remove_background
boolean
True
Remove the background of the final output image.
prompt
string
arm made of brown fur
Prompt to guide the image generation
negative_prompt
string
shadow, texture, (worst quality, low quality:1.4)
The prompt or prompts not to guide the image generation (what you do not want to see in the generation). Ignored when not using guidance.
additional_prompt
string
white-background, tk-char, prop
Additional prompts to guide the image generation. Ignored when not using guidance.
num_inference_steps
integer
20

Min: 1

Max: 500

The number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference.
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance. Higher guidance scale encourages to generate images that are closely linked to the text prompt, usually at the expense of lower image quality.
seed
integer
Random seed. Leave blank to randomize the seed

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'}