update lora weights and README.md

README.md

@@ -1,5 +1,5 @@
 ---
-title: self-healing-bot
+title: healing-bot-01
 sdk: gradio
 sdk_version: 4.36.1
 emoji: 👂🏻

app.py

@@ -28,8 +28,8 @@ pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.conf
 # 載入 LoRA
 lora_path = "./tbh368-sdxl.safetensors"
 pipe.load_lora_weights(lora_path, adapter_name="milton-glaser")
-pipe.set_adapters(["milton-glaser"], adapter_weights=[1.0])
 pipe.load_lora_weights("e-n-v-y/envyimpressionismxl01", weight_name="EnvyImpressionismXL01.safetensors", adapter_name="impressionism")
+pipe.set_adapters(["milton-glaser", "impressionism"], adapter_weights=[1.0, 0.5])
 
 # 載入 CVAW Corpus 資料
 cvaw_data = pd.read_csv('./CVAW_all_SD.csv', delimiter='\t')
@@ -125,7 +125,7 @@ def generate_images(history, conversation_times, last_genimg_times, generated_im
   last_genimg_times = conversation_times
 
   for i in range(4):
-    img = pipe("modern digital impressionism, hard to understood, abstract, "+prompt,
+    img = pipe("modern digital impressionism, style of Milton Glaser, hard to understood, abstract, "+prompt,
                 negative_prompt=neg_prompt,
                 height=720, width=512,
                 generator=generator[i],
@@ -287,7 +287,7 @@ with gr.Blocks(theme=theme, css=css, title='療癒對話機器人') as demo:
   arousal_scores = gr.State(value=[])
 
   gr.Markdown("# 療癒對話機器人")
-  Login = gr.LoginButton(value="登入 HuggingFace", logout_value="登出", variant="primary", size="sm")
+  gr.LoginButton(value="登入 HuggingFace", logout_value="登出", variant="primary", size="sm")
   
   loading_message = gr.Textbox(visible=False, show_label=False)
   with gr.Column(visible=False) as audio_interface: