cneural / fastcomposer-t4

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  • 15 runs
Iterate in playground

Input

*file

First input image

file

Second input image, optional

string
Shift + Return to add a new line

Input proper text prompts, such as "A woman img and a man img in the snow" or "A painting of a man img in the style of Van Gogh", where "img" specifies the token you want to augment and comes after the word.

Default: "A man img and a man img singing in the park together."

number
(minimum: 0, maximum: 1)

A smaller alpha aligns images with text better, but may deviate from the subject image. Increase alpha to improve identity preservation, decrease it for prompt consistency.

Default: 0.7

integer
(minimum: 1, maximum: 300)

Number of diffusion steps

Default: 50

integer
(minimum: 1, maximum: 4)

Number of output images. Lower this setting if OOM.

Default: 1

number
(minimum: 1.5, maximum: 50)

Scale for classifier-free guidance.

Default: 5

integer

Width of output image.

Default: 512

integer

Height of output image.

Default: 512

integer

Random seed. Leave blank to randomize the seed.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

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