Update app.py

app.py

@@ -12,26 +12,26 @@ import pickle
 from PIL import Image
 from tqdm.auto import tqdm
 from datetime import datetime
-from utils.gradio_utils import is_torch2_available
+from gradio_utils import is_torch2_available
 if is_torch2_available():
-    from utils.gradio_utils import \
+    from gradio_utils import \
         AttnProcessor2_0 as AttnProcessor
-    # from utils.gradio_utils import SpatialAttnProcessor2_0
+    # from gradio_utils import SpatialAttnProcessor2_0
 else:
-    from utils.gradio_utils  import AttnProcessor
+    from gradio_utils  import AttnProcessor
 
 import diffusers
 from diffusers import StableDiffusionXLPipeline
 from utils import PhotoMakerStableDiffusionXLPipeline
 from diffusers import DDIMScheduler
 import torch.nn.functional as F
-from utils.gradio_utils import cal_attn_mask_xl
+from gradio_utils import cal_attn_mask_xl
 import copy
 import os
 from huggingface_hub import hf_hub_download
 from diffusers.utils import load_image
-from utils.utils import get_comic
-from utils.style_template import styles
+from utils import get_comic
+from style_template import styles
 image_encoder_path = "./data/models/ip_adapter/sdxl_models/image_encoder"
 ip_ckpt = "./data/models/ip_adapter/sdxl_models/ip-adapter_sdxl_vit-h.bin"
 os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
@@ -597,7 +597,7 @@ def process_generation(_sd_type,_model_type,_upload_images, _num_steps,style_nam
         captions = [caption.replace("[NC]","") for caption in captions]
         captions = [caption.split('#')[-1] if "#" in caption else caption for caption in captions]
         from PIL import ImageFont
-        total_results = get_comic(id_images + real_images, _comic_type,captions= captions,font=ImageFont.truetype("./fonts/Inkfree.ttf", int(45))) + total_results
+        total_results = get_comic(id_images + real_images, _comic_type,captions= captions,font=ImageFont.truetype("./Inkfree.ttf", int(45))) + total_results
     if _model_type == "Photomaker":
         pipe = pipe2.to("cpu")
         pipe.id_encoder.to("cpu")