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README.md

@@ -1,5 +1,5 @@
 ---
-title: Stable Video Diffusion with Upscaler
+title: Stable Video Diffusion Upscale
 emoji: 📺
 colorFrom: gray
 colorTo: green

app.py

@@ -44,15 +44,13 @@ with gr.Blocks() as demo:
             run_button = gr.Button("Generate")
         video = gr.Video()
     with gr.Accordion("Advanced options", open=False):
-        upscaler_prompt = gr.Text(
-            label="Prompt for upscaler", show_label=False, max_lines=1, placeholder="Enter your prompt", container=False
-        )
+        upscaler_prompt = gr.Text("Correct the motion blur in this image so it is more clear", label="Prompt for upscaler", show_label=False, max_lines=1, placeholder="Enter your prompt", container=False)
         seed = gr.Slider(label="Seed", minimum=0, maximum=1_000_000, step=1, value=0)
         num_frames = gr.Slider(label="Number of frames", minimum=1, maximum=100, step=1, value=25)
         motion_bucket_id = gr.Slider(label="Motion bucket id", minimum=1, maximum=255, step=1, value=127)
         noise_aug_strength = gr.Slider(label="Noise strength", minimum=0, maximum=1, step=0.01, value=0.02)
-        fps = gr.Slider(label="Frames per second", minimum=5, maximum=30, step=1, value=6)
-        decode_chunk_size = gr.Slider(label="Decode chunk size", minimum=1, maximum=10, step=1, value=2)
+        fps = gr.Slider(label="Frames per second", minimum=5, maximum=30, step=1, value=7)
+        decode_chunk_size = gr.Slider(label="Decode chunk size", minimum=1, maximum=25, step=1, value=7)
     run_button.click(
         fn=infer,
         inputs=[image, upscaler_prompt, num_frames, motion_bucket_id, noise_aug_strength, decode_chunk_size, fps, seed],