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https://github.com/chaseleantj/gpt-prompts

A compilation of some ChatGPT prompts I find useful.
https://github.com/chaseleantj/gpt-prompts

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A compilation of some ChatGPT prompts I find useful.

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# ChatGPT Code Interpreter prompts



I've found the ChatGPT code interpreter feature to be very useful.



Here are some useful prompts to perform various tasks.



## Turn images into pencil drawings






Copy and paste the following prompt into ChatGPT Code Interpreter:



```

Width to 512px, keep aspect ratio. Blur 99px. cv2.divide original pic by blurred pic, scale 255. Unsharp mask, radius 3, amount 3 with skimage.filters. Grayscale.

```



If it doesn't work, don't worry.



Copy and paste this code. It was written by GPT during a successful attempt.



```

# Can you execute this code on the attached image?



import cv2

import numpy as np

from skimage import filters, color, img_as_ubyte

from matplotlib import pyplot as plt



def process_image(image_path):

    # Load the image

    img = cv2.imread(image_path)



    # Resize the image, preserving the aspect ratio

    desired_width = 512

    aspect_ratio = img.shape[1] / img.shape[0]

    new_height = int(desired_width / aspect_ratio)

    img_resized = cv2.resize(img, (desired_width, new_height))



    # Blur the image

    blur = cv2.GaussianBlur(img_resized, (99, 99), 0)



    # Divide the original image by the blurred image

    divided = cv2.divide(img_resized, blur, scale=255)



    # Convert to RGB for skimage

    divided_rgb = cv2.cvtColor(divided, cv2.COLOR_BGR2RGB)



    # Apply unsharp mask

    unsharp_image = filters.unsharp_mask(divided_rgb, radius=3, amount=3)



    # Convert to 8-bit unsigned byte format

    unsharp_image_ubyte = img_as_ubyte(unsharp_image)



    # Convert to grayscale

    gray = color.rgb2gray(unsharp_image_ubyte)



    # Plot the original and final images side by side

    fig, axs = plt.subplots(1, 2, figsize=(10, 5))



    # Original image

    axs[0].imshow(cv2.cvtColor(img_resized, cv2.COLOR_BGR2RGB))

    axs[0].axis('off')



    # Final image

    axs[1].imshow(gray, cmap='gray')

    axs[1].axis('off')



    plt.tight_layout()

    plt.show()



# Replace 'image_path' with the path of your image

process_image('image_path')

```



## Avengers Disintegration animation:






Copy and paste the following prompt into ChatGPT Code Interpreter.



You also need to upload an image, preferably one with a single subject and a black background.



```

I want to apply the disintegration effect from Avengers to this image. Can you help me with it? Provide me with a link to download the video generated. Use the code below:



import imageio

import numpy as np

import random



# Load the image

image_path = "[INSERT IMAGE PATH HERE]"

image = imageio.imread(image_path)



# Define the block size

block_size = 4



# Get the dimensions of the image

height, width, _ = image.shape



# Make sure the image dimensions are divisible by block size

height -= height % block_size

width -= width % block_size



# Crop the image to the new dimensions

image = image[:height, :width]



# Calculate the number of blocks in each dimension

num_blocks_y, num_blocks_x = height // block_size, width // block_size



# Create an index map of blocks

blocks = np.dstack(np.mgrid[0:num_blocks_y, 0:num_blocks_x]).reshape(-1, 2)



# Multiply the indices by the block size to get the pixel coordinates

blocks *= block_size



# Define the distance to move the blocks (Ask the user for X in percentage, tell user default = 10%)

distance = round(0.1 * width)  # Replace 0.1 with X



# Define the number of times to move each block

move_count = 3



# Create a copy of the original image to work on

working_image = image.copy()



# Convert the blocks to a list and randomly shuffle it

blocks_list = list(map(tuple, blocks))

random.shuffle(blocks_list)



# Define the number of blocks to move (Ask the user for Y in percentage, default = 2% of the total blocks)

num_blocks_to_move = int(0.02 * len(blocks_list))  # Replace 0.02 with Y



# Create a video writer context

with imageio.get_writer('/mnt/data/disintegration_effect.mp4', mode='I', fps=30) as writer:

    # Write a static image to the first 3 frames

    for _ in range(3):

        writer.append_data(working_image)



    # Loop over the blocks in the shuffled list

    for _ in range(move_count):

        for i in range(0, len(blocks_list), num_blocks_to_move):

            # Select a slice of blocks to move

            blocks_to_move = blocks_list[i:i+num_blocks_to_move]



            # For each block, move it to the left by the specified distance

            for block in blocks_to_move:

                y, x = block

                shift_distance = int(min(distance * random.random(), x))  # Don't shift more than the x-coordinate of the block



                if x-shift_distance >= 0:

                    working_image[y:y+block_size, x-shift_distance:x+block_size-shift_distance] = working_image[y:y+block_size, x:x+block_size]

                    working_image[y:y+block_size, x:x+block_size] = 0



            # Write the frame to the video file

            writer.append_data(working_image)

```



Remark: The code above was generated with ChatGPT (with some slight modifications) with the prompt below:



But if you use the prompt below, I found the results to be very inconsistent, with 1/5 success rate. Sometimes it makes lots of mistakes. Therefore, it's better to just provide GPT with the code that it previously generated.



```

Are you familiar with the disintegration effect from Avengers after Thanos snaps his fingers? I want to apply this effect to the PNG image I uploaded. By turning it into a video, can you do it for me?



Using the pixels from the transparent layer, group them into blocks of 4x4 pixels. Then, give each block an index. For each frame, several blocks at random. Then translate those blocks to the left. Keep doing this for the frames until all the blocks have left the image, and only a blank image remains.



Use the imageio library to help you. Save the frames directly to a video file instead of into a list.

```



## Panning an image and turning it into a video






Copy and paste the following prompt into ChatGPT Code Interpreter.



```

This image is a panoramic shot. 



Help me turn it into a video with aspect ratio 3:2, with the image filling the entire video (so the sides are cut off).  The video should be centered in the middle of the image.



Then, pan the video smoothly (with no sudden jumps) as follows:



Start: Center --> Right --> Center --> Left --> Center: End



Use the imageio library to help you. Save the frames directly to a video file instead of into a list.



Use a frame step of 8 pixels. If necessary, crop the edges of the image so that the size of the image is divisible by the frame step.

```