piyushk52 / ad_3_img_smooth

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

Input

string
Shift + Return to add a new line

Prompt travel

Default: "0_:16_:24_"

string
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Negative Prompt

Default: "(worst quality, low quality:1.2)"

string

Select image dimenstions

Default: "512x512"

*file
Preview
img_1

Image 1

*file
Preview
img_2

Image 2

*file
Preview
img_3

Image 3

string

Select a Motion Model

Default: "mm_sd_v14.ckpt"

string

Select a Module

Default: "Counterfeit-V3.0_fp32.safetensors"

string
Shift + Return to add a new line

weights for how cn will affect the latents

Default: "0=1.00,1=0.82,2=0.74,3=0.56,4=0.47,5=0.41,6=0.38,7=0.33,8=0.30,9=0.28,10=0.25,11=0.24,12=0.20,13=0.17,14=0.15,15=0.13,16=0.13,17=0.11,18=0.11,19=0.11,20=0.11,21=0.11,22=0.10,23=0.09,24=0.06,25=0.04,26=0.03,27=0.01,28=0.00,29=0.00,30=0.00,31=0.00,32=0.00,33=0.00,34=0.00,35=0.00,36=0.00,37=0.00,38=0.00,39=0.00,40=0.00,41=0.00,42=0.00,43=0.00,44=0.00,45=0.00,46=0.00,47=0.00"

string
Shift + Return to add a new line

weights for how cn will affect the latents

Default: "0=0.09,1=0.10,2=0.11,3=0.11,4=0.11,5=0.11,6=0.11,7=0.13,8=0.13,9=0.15,10=0.17,11=0.20,12=0.24,13=0.25,14=0.28,15=0.30,16=0.33,17=0.38,18=0.41,19=0.47,20=0.56,21=0.74,22=0.82,23=1.00,24=1.00,25=0.82,26=0.74,27=0.56,28=0.47,29=0.41,30=0.38,31=0.33,32=0.30,33=0.28,34=0.25,35=0.24,36=0.20,37=0.17,38=0.15,39=0.13,40=0.13,41=0.11,42=0.11,43=0.11,44=0.11,45=0.11,46=0.10,47=0.09\n\n\n\n"

string
Shift + Return to add a new line

weights for how cn will affect the latents

Default: "0=0.00,1=0.00,2=0.00,3=0.00,4=0.00,5=0.00,6=0.00,7=0.00,8=0.00,9=0.00,10=0.00,11=0.00,12=0.00,13=0.00,14=0.00,15=0.00,16=0.00,17=0.00,18=0.00,19=0.00,20=0.01,21=0.03,22=0.04,23=0.06,24=0.09,25=0.10,26=0.11,27=0.11,28=0.11,29=0.11,30=0.11,31=0.13,32=0.13,33=0.15,34=0.17,35=0.20,36=0.24,37=0.25,38=0.28,39=0.30,40=0.33,41=0.38,42=0.41,43=0.47,44=0.56,45=0.74,46=0.82,47=1.00"

number

IPAdapter weight

Default: 0.4

number

IPAdapter noise

Default: 0.5

string

Output format

Default: "video/h264-mp4"

Output

output
Generated in

Run time and cost

This model costs approximately $0.41 to run on Replicate, or 2 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 minutes. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.