mbentley124 / openjourney-img2img

This is the OpenJourney img2img model

  • Public
  • 89.1K runs
  • A100 (80GB)

Input

image
*file

Image that will be used as the starting point for the process.

*string
Shift + Return to add a new line

The prompt to guide the image generation.

string
Shift + Return to add a new line

The prompt not to guide the image generation.

number
(minimum: 0, maximum: 1)

Conceptually, indicates how much to transform the reference image. image will be used as a starting point, adding more noise to it the larger the strength. A value of 1 essentially ignores image.

Default: 0.8

integer
(minimum: 1, maximum: 500)

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

Default: 50

number
(minimum: 0)

Higher guidance scale encourages to generate images that are closely linked to the text prompt, usually at the expense of lower image quality.

Default: 7.5

integer
(minimum: 1, maximum: 16)

The number of images to generate

Default: 1

Output

output
Generated in

Run time and cost

This model costs approximately $0.047 to run on Replicate, or 21 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 34 seconds. The predict time for this model varies significantly based on the inputs.