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"""
This file contains the code for the text to image generation using the Stable Diffusion model.
"""
import torch
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
from constants import MODEL_ID
def generate_image(prompt: str) -> torch.Tensor:
"""
Generates an image from a given prompt.
Args:
prompt (str): The prompt to generate the image from.
Returns:
torch.Tensor: The generated image.
"""
# load model
pipe = StableDiffusionPipeline.from_pretrained(
MODEL_ID
) # torch_dtype=torch.float16
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
if torch.cuda.is_available():
pipe = pipe.to("cuda") # move model to GPU if available
print("Model loaded successfully and moved to GPU.")
else:
print("Model loaded successfully on CPU.")
image = pipe(prompt).images[0]
return image
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