Synchronize

app_endframe.py

@@ -108,8 +108,6 @@ stream = AsyncStream()
 outputs_folder = './outputs/'
 os.makedirs(outputs_folder, exist_ok=True)
 
-input_video_debug_value = prompt_debug_value = total_second_length_debug_value = None
-
 # 20250506 pftq: Added function to encode input video frames into latents
 @torch.no_grad()
 def video_encode(video_path, resolution, no_resize, vae, vae_batch_size=16, device="cuda", width=None, height=None):
@@ -671,9 +669,6 @@ def get_duration(
     randomize_seed,
     seed, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, use_teacache,
     no_resize, mp4_crf, num_clean_frames, vae_batch):
-    global total_second_length_debug_value
-    if total_second_length_debug_value is not None:
-        return min(total_second_length_debug_value * 60 * 2, 600)
     return total_second_length * 60 * 2
 
 @spaces.GPU(duration=get_duration)
@@ -682,18 +677,12 @@ def process(
             randomize_seed,
             seed, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, use_teacache,
     no_resize, mp4_crf, num_clean_frames, vae_batch):
-    global stream, high_vram, input_video_debug_value, prompt_debug_value, total_second_length_debug_value
+    global stream, high_vram
 
     if torch.cuda.device_count() == 0:
         gr.Warning('Set this space to GPU config to make it work.')
         return None, None, None, None, None, None
 
-    if input_video_debug_value is not None or prompt_debug_value is not None or total_second_length_debug_value is not None:
-        input_video = input_video_debug_value
-        prompt = prompt_debug_value
-        total_second_length = total_second_length_debug_value
-        input_video_debug_value = prompt_debug_value = total_second_length_debug_value = None
-
     if randomize_seed:
         seed = random.randint(0, np.iinfo(np.int32).max)
 
@@ -819,80 +808,15 @@ with block:
 
                 mp4_crf = gr.Slider(label="MP4 Compression", minimum=0, maximum=100, value=16, step=1, info="Lower means better quality. 0 is uncompressed. Change to 16 if you get black outputs. ")
 
-            with gr.Accordion("Debug", open=False):
-                input_video_debug = gr.Video(sources='upload', label="Input Video Debug", height=320)
-                prompt_debug = gr.Textbox(label="Prompt Debug", value='')
-                total_second_length_debug = gr.Slider(label="Additional Video Length to Generate (Seconds) Debug", minimum=1, maximum=120, value=5, step=0.1)
-
         with gr.Column():
             preview_image = gr.Image(label="Next Latents", height=200, visible=False)
             result_video = gr.Video(label="Finished Frames", autoplay=True, show_share_button=False, height=512, loop=True)
             progress_desc = gr.Markdown('', elem_classes='no-generating-animation')
             progress_bar = gr.HTML('', elem_classes='no-generating-animation')
 
-    with gr.Row(visible=False):
-        gr.Examples(
-        examples = [
-                [
-                    "./img_examples/Example1.mp4", # input_video
-                    None, # end_frame
-                    0.0, # end_frame_weight
-                    "View of the sea as far as the eye can see, from the seaside, a piece of land is barely visible on the horizon at the middle, the sky is radiant, reflections of the sun in the water, photorealistic, realistic, intricate details, 8k, insanely detailed",
-                    "Missing arm, unrealistic position, blurred, blurry", # n_prompt
-                    True, # randomize_seed
-                    42, # seed
-                    1, # batch
-                    640, # resolution
-                    1, # total_second_length
-                    9, # latent_window_size
-                    25, # steps
-                    1.0, # cfg
-                    10.0, # gs
-                    0.0, # rs
-                    6, # gpu_memory_preservation
-                    True, # use_teacache
-                    False, # no_resize
-                    16, # mp4_crf
-                    5, # num_clean_frames
-                    default_vae
-                ],
-            ],
-        run_on_click = True,
-        fn = process,
-	    inputs = [input_video, end_frame, end_frame_weight, prompt, n_prompt, randomize_seed, seed, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, use_teacache, no_resize, mp4_crf, num_clean_frames, vae_batch],
-	    outputs = [result_video, preview_image, progress_desc, progress_bar, start_button, end_button],
-        cache_examples = True,
-    )
-
     # 20250506 pftq: Updated inputs to include num_clean_frames
     ips = [input_video, end_frame, end_frame_weight, prompt, n_prompt, randomize_seed, seed, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, use_teacache, no_resize, mp4_crf, num_clean_frames, vae_batch]
     start_button.click(fn=process, inputs=ips, outputs=[result_video, preview_image, progress_desc, progress_bar, start_button, end_button])
     end_button.click(fn=end_process)
 
-    
-    def handle_field_debug_change(input_video_debug_data, prompt_debug_data, total_second_length_debug_data):
-        global input_video_debug_value, prompt_debug_value, total_second_length_debug_value
-        input_video_debug_value = input_video_debug_data
-        prompt_debug_value = prompt_debug_data
-        total_second_length_debug_value = total_second_length_debug_data
-        return []
-    
-    input_video_debug.upload(
-        fn=handle_field_debug_change,
-        inputs=[input_video_debug, prompt_debug, total_second_length_debug],
-        outputs=[]
-    )
-    
-    prompt_debug.change(
-        fn=handle_field_debug_change,
-        inputs=[input_video_debug, prompt_debug, total_second_length_debug],
-        outputs=[]
-    )
-    
-    total_second_length_debug.change(
-        fn=handle_field_debug_change,
-        inputs=[input_video_debug, prompt_debug, total_second_length_debug],
-        outputs=[]
-    )
-
 block.launch(share=True)