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 and Bitcoin references prompts = { "Mezo_Honey_Badger": ( "A humorous depiction of a honey badger representing Bitcoin's strength, resilience, and toughness in the world of Mezo. " "The honey badger is wearing Bitcoin-themed sunglasses and sitting on a throne of Bitcoin coins, with a playful smirk. " "The background features dynamic DeFi elements and Bitcoin symbols." ), "Mezo_Bull": ( "A funny illustration of a bull representing Bitcoin’s rising price in the Mezo platform. " "The bull is wearing a suit with a Bitcoin tie, looking optimistic while holding a chart with an upward trend. " "The background is filled with humorous crypto symbols and vibrant DeFi elements." ), "Mezo_Whale": ( "A comical depiction of a whale symbolizing large Bitcoin holders in the Mezo ecosystem. " "The whale is lounging in a luxurious underwater Bitcoin vault, surrounded by Bitcoin bars, wearing a top hat and monocle. " "The background includes satirical crypto elements and vibrant designs." ), "Mezo_Pepe": ( "A playful meme featuring Pepe the Frog in the context of Mezo. Pepe is depicted as a Bitcoin superhero, complete with a mask and cape, fighting off market FUD. " "The background is filled with Bitcoin symbols and meme culture references, combining humor and resilience." ) } # 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}")