daanelson / training-2

  • Public
  • 981 runs
  • A100 (80GB)

Input

string
Shift + Return to add a new line

Input prompt

Default: "An astronaut riding a rainbow unicorn"

string
Shift + Return to add a new line

Input Negative Prompt

Default: ""

file

Input image for img2img or inpaint mode

file

Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.

integer

Width of output image

Default: 1024

integer

Height of output image

Default: 1024

integer
(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

string

scheduler

Default: "DDIM"

integer
(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

number
(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7.5

number
(minimum: 0, maximum: 1)

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image

Default: 0.8

integer

Random seed. Leave blank to randomize the seed

string

Which refine style to use

Default: "no_refiner"

number
(minimum: 0, maximum: 1)

for expert_ensemble_refiner, the fraction of noise to use

Default: 0.8

integer

for base_image_refiner, the number of steps to refine, defaults to num_inference_steps

Output

output
Generated in

This example was created by a different version, daanelson/training-2:0019e28f.

Run time and cost

This model costs approximately $0.011 to run on Replicate, or 90 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 8 seconds.

Readme

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