pratos / sd-2-1-img2img

Stable Diffusion 2.1 img2img model: 512x512

  • Public
  • 783 runs
  • A100 (80GB)
Iterate in playground

Input

string
Shift + Return to add a new line

Prompt for the model

Default: "A gentleman otter"

string
Shift + Return to add a new line

Negative prompt for the model. Add things that you'd want to avoid in the image.

Default: "((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))"

*file

Image to use as a prompt. Upload image in following formats: jpg, jpeg, png, heic, webp, heif, avif.

string

Sampler to use

Default: "euler"

number
(minimum: 1, maximum: 30)

Higher values mean the text prompt will be more important than the image prompt. Also results in higher saturated images. Ideally keep values between 6-13.

Default: 7.5

number
(minimum: 0, maximum: 1)

Percent of noise to add to the image. Higher values will result in image deviating away from original image.

Default: 0.5

integer
(minimum: 1, maximum: 500)

Number of inference steps

Default: 50

integer
(minimum: 1, maximum: 5)

Number of output images

Default: 1

integer

Seed for the model

Default: -1

Output

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

Run time and cost

This model costs approximately $0.0060 to run on Replicate, or 166 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 5 seconds.

Readme

This model doesn't have a readme.