benchmark/sd_txt2img_no_compile.py

#!/usr/bin/env python3
from diffusers import DiffusionPipeline
import torch

path = "runwayml/stable-diffusion-v1-5"

run_compile = False  # Set True / False

pipe = DiffusionPipeline.from_pretrained(path, torch_dtype=torch.float16)
pipe = pipe.to("cuda:0")
pipe.unet.to(memory_format=torch.channels_last)

if run_compile:
    print("Run torch compile")
    pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)

prompt = "ghibli style, a fantasy landscape with castles"

for _ in range(3):
    images = pipe(prompt=prompt).images