add_240115190434

MODELS/{BAD1100.pth → HER_1100.pth}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4ccd138e10a910bf44a5843561551e5ce8a5fae564cd29cdcbbe9beaa74714c4
+oid sha256:0053eb1b3d39c3f818cb18bc257b9f3a33e123a403bba22e4b31f140e91d939b
 size 629528157

MODELS/{BG1300.pth → TERRA.pth}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f510aedc4739bc068be66da13e6c6bcd0ecab41be58d06d771f7e33c596b8eb6
+oid sha256:aa400e907a126dc17d4eaca412f9ca7832844ea0964c8319b01dc99610ce13e1
 size 629528157

MODELS/hammer.pth

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:28d22561ca054aee9a16892dbed4086c6017b57e60a7c242732607a38c1cd772
-size 629473182

MODELS/{DLM.pth → hypno.pth}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f4187dbad0c4b817dfdb8e2db8b9bb35ed98280e2d5580215d346e416bbf82e
+oid sha256:f47be236069bc0254d188c479fef99dbd4d2d908fb5b6444d5ddfd1f45caae0a
 size 629528157

MODELS/lucid.pth

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:87e8108e882ed9a58327055127ac29ca9740dca59c706de00e30726634098f8e
-size 629528157

MODELS/{endlessstar.pth → premj.pth}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6940ed126fb9f8d76737736b6d6f3affc26edb3a205a7f2baa0dc312df182b7e
+oid sha256:0197dfe39dd9f87008bc68e271545a17d5836ab1b5fd876beea5295dbe9e6182
 size 629528157

MODELS/v3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9b3ec8e49f19a41ef6601a35d3cd5bed2f0a5fa3d7c90c064726206675aa746
+size 629528157

MODELS/vv.pth

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:04188ce0fa1308b7bab0e27800df6b96808a5c5d22cdd48c1ea6c17f01638a43
-size 629528157

app.py

@@ -18,18 +18,15 @@ models = {
     "Mellowdear": "./MODELS/adorabledarling.pth",
     "MistyNikki": "./MODELS/nikki9400.pth",
     "Silverleg": "./MODELS/J8900.pth",
-    "Umemura": "./MODELS/take2.pth",
-    "LucidMoon": "./MODELS/lucid.pth",
+    "Xelo": "./MODELS/HER_1100.pth",
     "Rrabbitt": "./MODELS/rabbit4900.pth",
-    "VivaciousViolet": "./MODELS/vv.pth",
+    "VVV": "./MODELS/v3.pth",
     "AlluWin": "./MODELS/AW.pth",
-    "ImmenseStar": "./MODELS/endlessstar.pth",
-    "LightHammer": "./MODELS/hammer.pth",
-    "ArasakaAI": "Arasaka.pth",
-    "DLM": "./MODELS/DLM.pth",
-    "BadGirlDLM": "./MODELS/BG1300.pth",
-    "BadBoyDLM": "./MODELS/BAD1100.pth",
-    
+    "Hypnosia": "./MODELS/hypno.pth",
+    "PremJ": "./MODELS/premj.pth",
+    "Umemura": "./MODELS/take2.pth",
+    "ArasakaAI": "./MODELS/Arasaka.pth",
+     "Terra": "./MODELS/TERRA.pth",
 }
 
 def get_text(text, language_str, hps):
@@ -123,18 +120,19 @@ if __name__ == "__main__":
             with gr.Column():
 
                 gr.Markdown('''
-                **仅供测试用** 
+                **仅供测试用**质量参差 
+                模型训练以及推理基于开源项目Bert-VITS2:https://github.com/fishaudio/Bert-VITS2
                 ''')
-                text = gr.TextArea(label="输入需要生成语音的文字", placeholder="输入文字",
+                text = gr.TextArea(label="输入需要生成语音的文字(标点也会影响语气)", placeholder="输入文字",
                                 value="今天拿白金了吗",
                                 info="使用huggingface的免费CPU进行推理，因此速度不快，一次性不要输入超过500汉字。字数越多，生成速度越慢，请耐心等待，只会说中文。",
                                   )
-                model = gr.Radio(choices=list(models.keys()), value=list(models.keys())[0], label='音声模型')
+                model = gr.Radio(choices=list(models.keys()), value=list(models.keys())[0], label='声音模型')
                 with gr.Accordion(label="展开设置生成参数", open=False):
                     sdp_ratio = gr.Slider(minimum=0, maximum=1, value=0.2, step=0.01, label='SDP/DP混合比',info='可控制一定程度的语调变化')
                     noise_scale = gr.Slider(minimum=0.1, maximum=1.5, value=0.5, step=0.01, label='感情变化')
                     noise_scale_w = gr.Slider(minimum=0.1, maximum=1.4, value=0.9, step=0.01, label='音节长度')
-                    length_scale = gr.Slider(minimum=0.1, maximum=2, value=1, step=0.01, label='生成语音总长度',info='数值越大，语速越慢')
+                    length_scale = gr.Slider(minimum=0.1, maximum=2, value=0.9, step=0.01, label='生成语音总长度',info='数值越大，语速越慢')
                 btn = gr.Button("✨生成", variant="primary")
             with gr.Column():
                 audio_output = gr.Audio(label="试听")