From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the prompts prompts = { "Honey Badger": ( "A bold, stylized depiction of a honey badger symbolizing strength, resilience, and toughness. The background features Bitcoin symbols and dynamic digital elements, capturing the fearless nature of the meme in a vibrant, modern art style." ), "Bull": ( "A vibrant, energetic portrayal of a bull representing the belief that Bitcoin's price will rise. The bull is surrounded by futuristic, cryptocurrency-themed visuals, emphasizing optimism and growth in a dynamic art style." ), "Whale": ( "A grand, authoritative depiction of a whale, symbolizing individuals with large Bitcoin holdings. The whale is set against a backdrop filled with Bitcoin imagery, showcasing its significant role in the cryptocurrency ecosystem in a high-impact, digital art style." ), "Pepe the Frog": ( "A playful, satirical illustration of Pepe the Frog, a central figure in Bitcoin and NFT meme culture. The artwork blends humor with Bitcoin symbols, reflecting the meme culture’s spirit and resilience against skepticism, in a colorful and engaging style." ) } # Generate images for each prompt for name, prompt in prompts.items(): # Generate the image image = pipe(prompt).images[0] # Save the generated image filename = f"bitcoin_meme_{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}")