#mountainlandscapes

Sunset Serenity: Mountain Landscapes & Colorful Flowers

• Model: Artistic 2

• Size: 1024 X 1024 (1.05 MP)

• Used settings:

  • Prompt: from PIL import Image, ImageDraw, ImageFont import numpy as np # Load image and font im = Image.open("your_image.jpg").convert("RGBA").resize((500, 500)) font = ImageFont.truetype("Chandas.ttf", 40) # Loop 777 times for _ in range(777): # Apply sepia filter-like transformation im = im.point(lambda p: min(int(p * 0.393 + p * 0.769 + p * 0.189), 255)) # Add random noise im = Image.fromarray(np.clip(np.array(im).astype("int16") + np.random.randint(-30, 31, im.size + (4,)), 0, 255).astype('uint8')) # Modify image data conditionally data = np.array(im) red, blue = data[..., 0], data[..., 2] data[..., :-1][(red > 100) & (blue < 100)] = (255, 0, 0) im = Image.fromarray(data) # Add text watermark txt_img = Image.new("RGBA", im.size) d = ImageDraw.Draw(txt_img) d.text((im.size[0] // 2, im.size[1] // 2), "जनता", (255, 255, 255, 51), font) im = Image.alpha_composite(im, txt_img) # Save the final image im.convert("RGB").save("final_watermarked_image.jpg") im.show()
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: square

```plaintext ⣴⣿⠇⣶⣿⣿⣿⠇ ⠿⣿⣫⣿⣿⣿⠁⡟ ⢹⣿⣿⣿⠏⣸⠃⠀ ⢻⣿⣿⢏⡟⠇⠀⠀ ⠻⣿⣿⡿⢹⣤⠀⠀ ⢸⣿⣿⡿⣼⡇⠀⠀ ⠿⡿⠋⠉⠉⠙⠀⠀ https://youtu.be/0t8OYCM

• Model: Photonic

• Size: 768 X 768 (0.59 MP)

• Used settings:

  • Prompt: ```plaintext ⣴⣿⠇⣶⣿⣿⣿⠇ ⠿⣿⣫⣿⣿⣿⠁⡟ ⢹⣿⣿⣿⠏⣸⠃⠀ ⢻⣿⣿⢏⡟⠇⠀⠀ ⠻⣿⣿⡿⢹⣤⠀⠀ ⢸⣿⣿⡿⣼⡇⠀⠀ ⠿⡿⠋⠉⠉⠙⠀⠀ https://youtu.be/0t8OYCMXr_I?si=Zm7btl8fttZ7-3U3 ```
  • Face enhance: No
  • Upscale & Enhance: 0
  • Aspect Ratio: square