PromptMorpher

[Giribot]

hello, i made a small python script to morph prompts in 'n' times. the generated text of the prompts can be put in Forge in the script module. the famous textbox it seems to me. it's public domain. if someone wants to improve my gas factory.... don't hesitate!

Example:
A landscape of a mountain with a lake at sunset
TO
A landscape of a city with a volcano at night
In 5 iterations

A landscape of [mountain: city: 1.0] with a [lake: volcano: 0.6] at [sunset: night: 0.0].
A landscape of [mountain: city: 0.75] with a [lake: volcano: 0.52] at [sunset: night: 0.25].
A landscape of [mountain: city: 0.5] with a [lake: volcano: 0.45] at [sunset: night: : 0.5].
A landscape of [mountain:city:0.25] with a [lake:volcano:0.38] at [sunset:night:0.75].
A landscape of [mountain:city:0.0] with a [lake:volcano:0.3] at [sunset:night:1.0].

Here:
https://github.com/Giribot/PromptMorpher

[Giribot]

There's some troubles yet.
I will correct soon the selected word (in red when changed): it doesn't work actually but the script work.
Optimise the blend (a linear progression is not a good idea after all).
Adding translation in english etc (the script is in french... Sorry)

[Giribot]

Example: (proof of concept)
I use Promptmorpher in IMG2IMG

First image:

In script/textbox i use this: (with only "openpose" with controlnet)

a [big black bodybuilder: white average man: 0 ] in front of a white background a [big black bodybuilder: white average man: 0.01 ] in front of a white background a [big black bodybuilder: white average man: 0.02 ] in front of a white background a [big black bodybuilder: white average man: 0.03 ] in front of a white background a [big black bodybuilder: white average man: 0.04 ] in front of a white background a [big black bodybuilder: white average man: 0.05 ] in front of a white background a [big black bodybuilder: white average man: 0.06 ] in front of a white background a [big black bodybuilder: white average man: 0.07 ] in front of a white background a [big black bodybuilder: white average man: 0.08 ] in front of a white background a [big black bodybuilder: white average man: 0.09 ] in front of a white background a [big black bodybuilder: white average man: 0.10 ] in front of a white background a [big black bodybuilder: white average man: 0.11 ] in front of a white background a [big black bodybuilder: white average man: 0.12 ] in front of a white background a [big black bodybuilder: white average man: 0.13 ] in front of a white background a [big black bodybuilder: white average man: 0.14 ] in front of a white background a [big black bodybuilder: white average man: 0.15 ] in front of a white background a [big black bodybuilder: white average man: 0.16 ] in front of a white background a [big black bodybuilder: white average man: 0.17 ] in front of a white background a [big black bodybuilder: white average man: 0.18 ] in front of a white background a [big black bodybuilder: white average man: 0.19 ] in front of a white background a [big black bodybuilder: white average man: 0.20 ] in front of a white background a [big black bodybuilder: white average man: 0.21 ] in front of a white background a [big black bodybuilder: white average man: 0.22 ] in front of a white background a [big black bodybuilder: white average man: 0.23 ] in front of a white background a [big black bodybuilder: white average man: 0.24 ] in front of a white background a [big black bodybuilder: white average man: 0.25 ] in front of a white background a [big black bodybuilder: white average man: 0.26 ] in front of a white background a [big black bodybuilder: white average man: 0.27 ] in front of a white background a [big black bodybuilder: white average man: 0.28 ] in front of a white background a [big black bodybuilder: white average man: 0.29 ] in front of a white background a [big black bodybuilder: white average man: 0.30 ] in front of a white background a [big black bodybuilder: white average man: 0.31 ] in front of a white background a [big black bodybuilder: white average man: 0.32 ] in front of a white background a [big black bodybuilder: white average man: 0.33 ] in front of a white background a [big black bodybuilder: white average man: 0.34 ] in front of a white background a [big black bodybuilder: white average man: 0.35 ] in front of a white background a [big black bodybuilder: white average man: 0.36 ] in front of a white background a [big black bodybuilder: white average man: 0.37 ] in front of a white background a [big black bodybuilder: white average man: 0.38 ] in front of a white background a [big black bodybuilder: white average man: 0.39 ] in front of a white background a [big black bodybuilder: white average man: 0.40 ] in front of a white background a [big black bodybuilder: white average man: 0.41 ] in front of a white background a [big black bodybuilder: white average man: 0.42 ] in front of a white background a [big black bodybuilder: white average man: 0.43 ] in front of a white background a [big black bodybuilder: white average man: 0.44 ] in front of a white background a [big black bodybuilder: white average man: 0.45 ] in front of a white background a [big black bodybuilder: white average man: 0.46 ] in front of a white background a [big black bodybuilder: white average man: 0.47 ] in front of a white background a [big black bodybuilder: white average man: 0.48 ] in front of a white background a [big black bodybuilder: white average man: 0.49 ] in front of a white background a [big black bodybuilder: white average man: 0.50 ] in front of a white background a [big black bodybuilder: white average man: 0.51 ] in front of a white background a [big black bodybuilder: white average man: 0.52 ] in front of a white background a [big black bodybuilder: white average man: 0.53 ] in front of a white background a [big black bodybuilder: white average man: 0.54 ] in front of a white background a [big black bodybuilder: white average man: 0.55 ] in front of a white background a [big black bodybuilder: white average man: 0.56 ] in front of a white background a [big black bodybuilder: white average man: 0.57 ] in front of a white background a [big black bodybuilder: white average man: 0.58 ] in front of a white background a [big black bodybuilder: white average man: 0.59 ] in front of a white background a [big black bodybuilder: white average man: 0.60 ] in front of a white background a [big black bodybuilder: white average man: 0.61 ] in front of a white background a [big black bodybuilder: white average man: 0.62 ] in front of a white background a [big black bodybuilder: white average man: 0.63 ] in front of a white background a [big black bodybuilder: white average man: 0.64 ] in front of a white background a [big black bodybuilder: white average man: 0.65 ] in front of a white background a [big black bodybuilder: white average man: 0.66 ] in front of a white background a [big black bodybuilder: white average man: 0.67 ] in front of a white background a [big black bodybuilder: white average man: 0.68 ] in front of a white background a [big black bodybuilder: white average man: 0.69 ] in front of a white background a [big black bodybuilder: white average man: 0.70 ] in front of a white background a [big black bodybuilder: white average man: 0.71 ] in front of a white background a [big black bodybuilder: white average man: 0.72 ] in front of a white background a [big black bodybuilder: white average man: 0.73 ] in front of a white background a [big black bodybuilder: white average man: 0.74 ] in front of a white background a [big black bodybuilder: white average man: 0.75 ] in front of a white background a [big black bodybuilder: white average man: 0.76 ] in front of a white background a [big black bodybuilder: white average man: 0.77 ] in front of a white background a [big black bodybuilder: white average man: 0.78 ] in front of a white background a [big black bodybuilder: white average man: 0.79 ] in front of a white background a [big black bodybuilder: white average man: 0.80 ] in front of a white background a [big black bodybuilder: white average man: 0.81 ] in front of a white background a [big black bodybuilder: white average man: 0.82 ] in front of a white background a [big black bodybuilder: white average man: 0.83 ] in front of a white background a [big black bodybuilder: white average man: 0.84 ] in front of a white background a [big black bodybuilder: white average man: 0.85 ] in front of a white background a [big black bodybuilder: white average man: 0.86 ] in front of a white background a [big black bodybuilder: white average man: 0.87 ] in front of a white background a [big black bodybuilder: white average man: 0.88 ] in front of a white background a [big black bodybuilder: white average man: 0.89 ] in front of a white background a [big black bodybuilder: white average man: 0.90 ] in front of a white background a [big black bodybuilder: white average man: 0.91 ] in front of a white background a [big black bodybuilder: white average man: 0.92 ] in front of a white background a [big black bodybuilder: white average man: 0.93 ] in front of a white background a [big black bodybuilder: white average man: 0.94 ] in front of a white background a [big black bodybuilder: white average man: 0.95 ] in front of a white background a [big black bodybuilder: white average man: 0.96 ] in front of a white background a [big black bodybuilder: white average man: 0.97 ] in front of a white background a [big black bodybuilder: white average man: 0.98 ] in front of a white background a [big black bodybuilder: white average man: 0.99 ] in front of a white background

the result is 100 images that show a kind of morphing between a not very muscular Caucasian man and a black bodybuilder.
I took this example because the attempt at morphing is clearly visible compared to a landscape or other .....

I'm not going to post the 100 images but I made a video with:
(i use a small and raw script python here (home made) (it take all the pics of a repertory and make a video of all pics: https://github.com/Giribot/Pics2vid/tree/main )

final.video-converter.com.mp4

the result is surely perfectible with a more adjusted and smart prompt.

[Giribot]

The video is too choppy.

I made a small linear transition script between two images to improve the video.
here:
https://github.com/Giribot/Pics2Morph/tree/main

The video with this script is a little better.
:-)

compressMorphing.Video.mp4