Import torch from diffusers import StableDiffusionPipeline

import torch from diffusers import StableDiffusionPipeline # Load the model model_id = "CompVis/stable-diffusion-v1-4" device = "cuda" if torch.cuda.is_available() else "cpu" pipe = StableDiffusionPipeline.from_pretrained(model_id) pipe.to(device) # Define the prompt prompt = "A black cat with a dark background, standing on two legs, hanging an AK-47 rifle gun on its front, wearing a golden necklace" # Generate the image image = pipe(prompt).images[0] # Save the image image.save("generated_black_cat.png") print("Image generated and saved as 'generated_black_cat.png'")

verybadimagenegative_v1.3, ng_deepnegative_v1_75t, (ugly face:0.8),cross-eyed,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, DeepNegative, facing away, tilted head, {Multiple people}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms,extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed,mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, extra arms, extra leg, extra foot, ((repeating hair))