import PIL
import requests
import torch
from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler

model_id = "yutengz/Action2Vision"
pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id, torch_dtype=torch.float16, safety_checker=None)
pipe.to("cuda")
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)


to_tensor = transforms.ToTensor()
resize = transforms.Resize((256, 256))

def download_image(URL):
    return PIL.Image.open(requests.get(url, stream=True).raw).convert("RGB").resize((256, 256))

url = "https://github.com/yutengzhang03/Action2Vision/blob/main/img/source.png"
image = download_image(url)
prompt = "There is a hammer and a block in the middle of the table. If the block is closer to the left robotic arm, it uses the left arm to pick up the hammer and strike the block; otherwise, it does the opposite."
images = pipe(prompt, image=image).images
images[0]