Update app.py

app.py

@@ -963,10 +963,18 @@ def worker(input_image, prompt, n_prompt, seed, total_second_length, latent_wind
 # Hugging Face Spaces GPU装飾子を使用してプロセス関数を処理
 if IN_HF_SPACE and 'spaces' in globals():
     @spaces.GPU
-    def process_with_gpu(input_image, prompt, n_prompt, seed, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, use_teacache):
+    def process_with_gpu(input_image, prompt, n_prompt, seed, total_second_length, use_teacache):
         global stream
         assert input_image is not None, '入力画像がありません！'
 
+        latent_window_size = 9
+        steps = 25
+        cfg = 1.0
+        gs = 10.0
+        rs = 0.0
+        gpu_memory_preservation = 6
+
+
         # UI状態の初期化
         yield None, None, '', '', gr.update(interactive=False), gr.update(interactive=True)
 
@@ -1040,10 +1048,23 @@ if IN_HF_SPACE and 'spaces' in globals():
     
     process = process_with_gpu
 else:
-    def process(input_image, prompt, n_prompt, seed, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, use_teacache):
+
+
+
+
+    def process(input_image, prompt, n_prompt, seed, total_second_length, use_teacache):
         global stream
         assert input_image is not None, '入力画像がありません！'
 
+        latent_window_size = 9
+        steps = 25
+        cfg = 1.0
+        gs = 10.0
+        rs = 0.0
+        gpu_memory_preservation = 6
+
+
+
         # UI状態の初期化
         yield None, None, '', '', gr.update(interactive=False), gr.update(interactive=True)
 
@@ -1542,60 +1563,6 @@ with block:
                         step=0.1
                     )
                     
-                    latent_window_size = gr.Slider(
-                        label="潜在窓サイズ / Latent Window Size", 
-                        minimum=1, 
-                        maximum=33, 
-                        value=9, 
-                        step=1, 
-                        visible=False
-                    )
-                    
-                    steps = gr.Slider(
-                        label="推論ステップ数 / Inference Steps", 
-                        minimum=1, 
-                        maximum=100, 
-                        value=25, 
-                        step=1, 
-                        info='この値の変更は推奨されません。 / Changing this value is not recommended.'
-                    )
-
-                    cfg = gr.Slider(
-                        label="CFGスケール / CFG Scale", 
-                        minimum=1.0, 
-                        maximum=32.0, 
-                        value=1.0, 
-                        step=0.01, 
-                        visible=False
-                    )
-                    
-                    gs = gr.Slider(
-                        label="蒸留CFGスケール / Distilled CFG Scale", 
-                        minimum=1.0, 
-                        maximum=32.0, 
-                        value=10.0, 
-                        step=0.01, 
-                        info='この値の変更は推奨されません。 / Changing this value is not recommended.'
-                    )
-                    
-                    rs = gr.Slider(
-                        label="CFGリスケール / CFG Rescale", 
-                        minimum=0.0, 
-                        maximum=1.0, 
-                        value=0.0, 
-                        step=0.01, 
-                        visible=False
-                    )
-
-                    gpu_memory_preservation = gr.Slider(
-                        label="GPU推論保存メモリ(GB) / GPU Memory (GB)", 
-                        minimum=6, 
-                        maximum=128, 
-                        value=6, 
-                        step=0.1, 
-                        info="OOMエラーが発生した場合は、この値を大きくしてください。値が大きいほど処理が遅くなります。 / Set this to a larger value if you encounter OOM errors. Larger values cause slower speed."
-                    )
-
         # 右側のプレビューと結果カラム
         with gr.Column(scale=1, elem_classes="mobile-full-width"):
             # プレビュー画像
@@ -1629,7 +1596,7 @@ with block:
             error_message = gr.HTML('', elem_id='error-message', visible=True)
     
     # 処理関数
-    ips = [input_image, prompt, n_prompt, seed, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, use_teacache]
+    ips = [input_image, prompt, n_prompt, seed, total_second_length,use_teacache]
     
     # 開始と終了ボタンのイベント
     start_button.click(fn=process, inputs=ips, outputs=[result_video, preview_image, progress_desc, progress_bar, start_button, end_button])