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anotherjesse /hello-train:c9786b38

Input

*file

Input image

*string
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Prompt for the model

*string
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Structure to condition on: canny, depth, hed, hough, normal, pose, scribble, seg

string

Number of samples (higher values may OOM)

Default: "1"

string

Image resolution to be generated

Default: "512"

integer

Steps

Default: 20

number
(minimum: 0.1, maximum: 30)

Scale for classifier-free guidance

Default: 9

integer

Seed

number

Controls the amount of noise that is added to the input data during the denoising diffusion process. Higher value -> more noise

Default: 0

string
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Additional text to be appended to prompt

Default: "Best quality, extremely detailed"

string
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Negative prompt

Default: "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"

integer
(minimum: 1, maximum: 255)

[canny only] Line detection low threshold

Default: 100

integer
(minimum: 1, maximum: 255)

[canny only] Line detection high threshold

Default: 200

Output

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