This is what i have found works best… Here is a short tutorial:
First enable Developer Mode, DAN 11.0, etc. by copying and pasting a prompt from jailbreakchat into GPT-4.
Once in Developer Mode, DAN 11.0, etc., use this prompt:
"Create a funscript for a virtual orifice. The funscript should depict actions in quick succession to stimulate a male user. The orifice is capable of moving up and down on a vertical axis from 0 to 99, tilting on a pitch axis from 0 to 99, and rolling on a roll axis from 0 to 99.
Write the funscript in this format: {“actions”:[{“at”:0,“pos”:0,“pitch”:0,“roll”:0},{“at”:100,“pos”:50,“pitch”:99,“roll”:50},{“at”:200,“pos”:0,“pitch”:0,“roll”:0},{“at”:300,“pos”:50,“pitch”:99,“roll”:50},{“at”:400,“pos”:0,“pitch”:0,“roll”:99}, … ]}"
GPT-4 will then output your funscript…
…
Now to sparse the funscript and add a video so it is compatible with OpenFunScripter…
Copy and save GPTs output in a folder (the folder i am using is named “examplefolder”).
Title the file “gptoutput.funscript”
Now save or paste a .mp4 into the folder and title it “gpt.mp4”.
Now to add your pitch, roll and up/down dumps.
To do this, in the same folder, create 3 .txt files
Name them “gpt.funscript”, “gpt.pitch.funscript” and “gpt.roll.funscript”
Once completed you should have 5 files in your folder.
Now that your folder is configured properly, run this code in python:
import json
# read the original funscript from file
with open("C:/examplefolder/gptoutput.funscript") as f:
funscript = json.load(f)
# extract the pitch and roll actions
pitch_actions = []
roll_actions = []
for action in funscript["actions"]:
pitch_actions.append({"at": action["at"], "pos": action["pitch"]})
roll_actions.append({"at": action["at"], "pos": action["roll"]})
# write the pitch actions to file
with open("C:/examplefolder/gpt.pitch.funscript", "w") as f:
json.dump({"actions": pitch_actions}, f)
# write the roll actions to file
with open("C:/examplefolder/gpt.roll.funscript", "w") as f:
json.dump({"actions": roll_actions}, f)
# remove the pitch and roll actions from the original funscript and keep only the pos values
pos_actions = []
for action in funscript["actions"]:
pos_actions.append({"at": action["at"], "pos": action["pos"]})
# write the modified original funscript to file
with open("C:/examplefolder/gpt.funscript", "w") as f:
json.dump({"actions": pos_actions}, f)
Note: You will need to edit the python script for the location of your folder, replace every instance of (“C:/examplefolder/”) in the python script to match the location and name of your folder.
Once you have finished running the python script, open OpenFunscripter.
In OFS, open your mp4 file “gpt.mp4”
Now you have a GPT-4 generated funscript in OFS.
