app.py

utils/prompt_analysis.py

@@ -15,14 +15,14 @@ class PromptAnalysis:
         self.model = None
         self.model_dir = model_dir 
 
-    def layout(self, lang_util, input_image):
+    def layout(self, input_image):
         with gr.Column():
             with gr.Row():
-                self.prompt = gr.Textbox(label=lang_util.get_text("prompt"), lines=3)
+                self.prompt = gr.Textbox("prompt", lines=3)
             with gr.Row():
-                self.negative_prompt = gr.Textbox(label=lang_util.get_text("negative_prompt"), lines=3, value=self.default_nagative_prompt)
+                self.negative_prompt = gr.Textbox("negative_prompt", lines=3, value=self.default_nagative_prompt)
             with gr.Row():
-                self.prompt_analysis_button = gr.Button(lang_util.get_text("analyze_prompt"))
+                self.prompt_analysis_button = gr.Button("analyze_prompt")
 
         self.prompt_analysis_button.click(
             self.process_prompt_analysis,

utils/utils.py

@@ -11,8 +11,7 @@ import cv2
 def load_cn_model(model_dir):
   folder = model_dir
   file_name = 'diffusion_pytorch_model.safetensors'
-  url = "https://huggingface.co/kataragi/ControlNet-LineartXL/resolve/main/Katarag_lineartXL-fp16.safetensors"
-
+  url = "  https://huggingface.co/2vXpSwA7/iroiro-lora/resolve/main/test_controlnet2/CN-anytest_v3-50000_fp16.safetensors"
   file_path = os.path.join(folder, file_name)
   if not os.path.exists(file_path):
     response = requests.get(url, stream=True)