LocalBlend doesn't work

[CONSTANT1386]

Dear RoyiRa:
I try to test whether the LocalBlend can work so I use the run code as following:
`import os
import torch
from prompt_to_prompt_pipeline import Prompt2PromptPipeline
from processors import LocalBlend
def custom_repr(self):
return f'{{Tensor:{tuple(self.shape)}}} {original_repr(self)}'

if name == "main":
original_repr = torch.Tensor.repr
torch.Tensor.repr = custom_repr

device = torch.device('cuda:0') if torch.cuda.is_available() else torch.device('cpu')
if device.type == "cuda":
    pipe = Prompt2PromptPipeline.from_pretrained("SG161222/RealVisXL_V4.0",
                                                torch_dtype=torch.float16, use_safetensors=True).to(device)
else:
    pipe = Prompt2PromptPipeline.from_pretrained("SG161222/RealVisXL_V4.0",
                                                torch_dtype=torch.float32, use_safetensors=False).to(device)
seed = 25
g_cpu = torch.Generator().manual_seed(seed)

# prompts = [
#     "On the park bench, a man in a red tracksuit is listening to music, and next to him, a lady in a green dress is teeding pigeons.",
#            "On the park bench, a man is listening to music, and next to him, a lady is teeding pigeons.",
#            ]
# prompts = ["a pink bear riding a bicycle on the beach", "a pink dragon riding a bicycle on the beach"]
# cross_attention_kwargs = {"edit_type": "replace",
#                           "n_self_replace": 0.4,
#                           "n_cross_replace": {"default_": 1.0, "dragon": 0.4},
#                           }

# prompts = [
#     "In the bustling shopping center, a fashionable young man is trying on shoes, and opposite him, an elderly man with glasses is reading a new book.",
#     "In the bustling shopping center, a man is trying on shoes, and opposite him, a man is reading a book.", 
#            ]
prompts = [
    # "In the quiet library, a man, and next to him, a lady is writing",
    "In the quiet library, a man is studying a science book, and next to him, a lady is writing",
    "In the quiet library, a man with glasses is is studying a science book, and next to him, a lady is writing",
    ]
        #    "In the quiet library, a man with glasses is studying a science book, and next to him, a lady in a blue sweater is writing her novel."]
# prompts = ["A golden retriever carrying a Frisbee, wearing a  suit and a  cowboy hat",
#            "A golden retriever carrying a  Frisbee, wearing a blue suit and a  cowboy hat"]
# lb = LocalBlend(prompts, ("lady","lady"),tokenizer=pipe.tokenizer, device=device)
cross_attention_kwargs = {"edit_type": "refine",
                          "n_self_replace": 0.4,
                          "n_cross_replace": {"default_": 1.0},
                          "local_blend_words": ("man","man")
                          }

image = pipe(prompts, cross_attention_kwargs=cross_attention_kwargs, generator=g_cpu)
# Create a directory to save images if it doesn't exist
output_dir = "generated_images"
os.makedirs(output_dir, exist_ok=True)

# Save each image to the output directory
for i, img in enumerate(image['images']):
    img.save(os.path.join(output_dir, f"P2P_REAL_{i+1}.jpg"))
    print(f"Saved image: {os.path.join(output_dir, f'P2P_REAL_{i+1}.jpg')}")

# print(f"Num images: {len(image['images'])}")
# from IPython.display import display

# for img in image['images']:
#     display(img)

`

But I found the output image have no difference No matter I added the line: "local_blend_words": ("man","man")

Can you help me?
Thank you!

[CONSTANT1386]

Please allow me to add the output image, and they separately are the output with blended word "man" and w/o it. I try to add the glasses.