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deutschla /character-generator:602288aa
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 |
|---|---|---|---|
| image |
string
|
@test-scribble.png
|
Input image
|
| prompt |
string
|
duck head, insect wing, crab claw, bird leg, tentacle leg, dragon body
|
Prompt to guide the image generation
|
| negative_prompt |
string
|
|
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
|
childrens illustration, fantasy creature, solo, single creature, white-background, masterpiece
|
Additional prompts to guide the image generation. Ignored when not using guidance.
|
| additional_negative_prompt |
string
|
worst quality, low quality, shadow, mouth, multiple eyes, signature, watermark, nsfw, plants, human, man, woman, animal, child, boy, girl
|
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.
|
| num_inference_steps |
integer
|
50
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
|
|
| invert_colors |
boolean
|
True
|
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.
|
| upscale_image |
boolean
|
True
|
Upscales the final output image 4x using ESRGAN. Final size will be 2048x2048
|
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'}