imagebuilder.py

from diffusers import StableDiffusionPipeline
import matplotlib.pyplot as plt
import torch

model_id1 = "dreamlike-art/dreamlike-diffusion-1.0"
pipe = StableDiffusionPipeline.from_pretrained(model_id1, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

def generate(prompt):
    image = pipe(prompt).images[0]
    return image

# Gradio interface
demo = gr.Interface(
    fn=generate,
    inputs=gr.Textbox(label="Enter your prompt"),
    outputs=gr.Image(label="Generated Image"),
    title="Text to Image Generator",
    description="Powered by Stable Diffusion"
)

demo.launch(share=True)