Add advices

app.py

@@ -722,6 +722,8 @@ def worker_video(input_video, prompts, n_prompt, seed, batch, resolution, total_
                 else:
                     transformer.initialize_teacache(enable_teacache=False)
 
+                [max_frames, clean_latents, clean_latents_2x, clean_latents_4x, latent_indices, clean_latents, clean_latent_indices, clean_latent_2x_indices, clean_latent_4x_indices] = compute_latent(history_latents, latent_window_size, num_clean_frames, start_latent)
+
                 indices = torch.arange(0, sum([1, 16, 2, 1, latent_window_size])).unsqueeze(0)
                 clean_latent_indices_start, clean_latent_4x_indices, clean_latent_2x_indices, clean_latent_1x_indices, latent_indices = indices.split([1, 16, 2, 1, latent_window_size], dim=1)
                 clean_latent_indices = torch.cat([clean_latent_indices_start, clean_latent_1x_indices], dim=1)
@@ -1163,11 +1165,11 @@ def process(input_image,
             secondes = secondes - (minutes * 60)
             hours = math.floor(minutes / 60)
             minutes = minutes - (hours * 60)
-            yield output_filename, gr.update(visible=False), gr.update(), "The video has been generated in " + \
+            yield output_filename, gr.update(visible=False), gr.update(), "The process has last " + \
             ((str(hours) + " h, ") if hours != 0 else "") + \
             ((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
             str(secondes) + " sec. " + \
-            "You can upscale the result with RIFE. To make all your generated scenes consistent, you can then apply a face swap on the main character.", gr.update(interactive=True), gr.update(interactive=False)
+            "You can upscale the result with RIFE. To make all your generated scenes consistent, you can then apply a face swap on the main character. If you do not see the generated video, the process may have failed. See the logs for more information. Test an example or other options to compare. You can share your inputs to the original space or set your space in public for a peer review.", gr.update(interactive=True), gr.update(interactive=False)
             break
 
 def get_duration_video(input_video, prompt, n_prompt, randomize_seed, seed, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, enable_preview, use_teacache, no_resize, mp4_crf, num_clean_frames, vae_batch):
@@ -1242,11 +1244,11 @@ def process_video(input_video, prompt, n_prompt, randomize_seed, seed, batch, re
             hours = math.floor(minutes / 60)
             minutes = minutes - (hours * 60)
             yield output_filename, gr.update(visible=False), desc + \
-            " The video has been generated in " + \
+            " The process has last " + \
             ((str(hours) + " h, ") if hours != 0 else "") + \
             ((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
             str(secondes) + " sec. " + \
-            " Video complete. You can upscale the result with RIFE. To make all your generated scenes consistent, you can then apply a face swap on the main character.", '', gr.update(interactive=True), gr.update(interactive=False)
+            " You can upscale the result with RIFE. To make all your generated scenes consistent, you can then apply a face swap on the main character. If you do not see the generated video, the process may have failed. See the logs for more information. Test an example or other options to compare. You can share your inputs to the original space or set your space in public for a peer review.", '', gr.update(interactive=True), gr.update(interactive=False)
             break
 
 def end_process():