From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

$from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the prompts with humor prompts = { "Honey Badger": ( "A humorous, stylized depiction of a honey badger representing Bitcoin's strength, resilience, and toughness. The honey badger is wearing Bitcoin-themed sunglasses, with a confident pose against a chaotic background of Bitcoin symbols and internet memes. The artwork is vibrant and playful." ), "Bull": ( "A comedic illustration of a bull, symbolizing the belief that Bitcoin's price will rise. The bull is dressed in a suit with a Bitcoin tie, looking optimistic and holding a chart that’s shooting upwards. The background is filled with humorous, futuristic cryptocurrency elements." ), "Whale": ( "A funny depiction of a whale, symbolizing large Bitcoin holders. The whale is lounging in a luxurious underwater Bitcoin vault, surrounded by stacks of Bitcoin coins and wearing a top hat. The background is a vibrant, satirical take on Bitcoin wealth." ), "Pepe the Frog": ( "A playful and satirical illustration of Pepe the Frog, a central figure in Bitcoin and NFT meme culture. Pepe is shown as a Bitcoin superhero, with a cape and mask, surrounded by Bitcoin symbols and internet meme references. The artwork combines humor and resilience in a colorful style." ) } # Generate images for each prompt for name, prompt in prompts.items(): # Generate the image image = pipe(prompt).images[0] # Save the generated image filename = f"mezo_{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}")$