# Install necessary libraries !pip install torch torchvision transformers diffusers --upgrade from diffusers import StableDiffusionPipeline...

Install necessary libraries

!pip install torch torchvision transformers diffusers --upgrade

from diffusers import StableDiffusionPipeline from torch import autocast import torch

Load the pre-trained model

model_id = "CompVis/stable-diffusion-v1-4" device = "cuda" if torch.cuda.is_available() else "cpu"

Initialize the pipeline

pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) pipe = pipe.to(device)

Define the prompt

prompt = "Venom character with a majestic Indonesian batik motif, all black body, with intricate cultural patterns, cinematic lighting, highly detailed, ultra realistic"

Generate the image

with autocast(device): image = pipe(prompt, guidance_scale=7.5).images[0]

Save and display the image

image.save("venom_batik.png") image.show()