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app.py
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@@ -385,31 +385,6 @@ def process(input_image, prompt,
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default_height, default_width = 640, 640
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input_image = np.ones((default_height, default_width, 3), dtype=np.uint8) * 255
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print("No input image provided. Using a blank white image.")
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else:
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composite_rgba_uint8 = input_image["composite"]
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# rgb_uint8 will be (H, W, 3), dtype uint8
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rgb_uint8 = composite_rgba_uint8[:, :, :3]
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# mask_uint8 will be (H, W), dtype uint8
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mask_uint8 = composite_rgba_uint8[:, :, 3]
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# Create background
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h, w = rgb_uint8.shape[:2]
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# White background, (H, W, 3), dtype uint8
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background_uint8 = np.full((h, w, 3), 255, dtype=np.uint8)
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# Normalize mask to range [0.0, 1.0].
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alpha_normalized_float32 = mask_uint8.astype(np.float32) / 255.0
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# Expand alpha to 3 channels to match RGB images for broadcasting.
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# alpha_mask_float32 will have shape (H, W, 3)
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alpha_mask_float32 = np.stack([alpha_normalized_float32] * 3, axis=2)
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# alpha blending
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blended_image_float32 = rgb_uint8.astype(np.float32) * alpha_mask_float32 + \
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background_uint8.astype(np.float32) * (1.0 - alpha_mask_float32)
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input_image = np.clip(blended_image_float32, 0, 255).astype(np.uint8)
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yield None, None, '', '', gr.update(interactive=False), gr.update(interactive=True)
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@@ -454,7 +429,7 @@ with block:
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""")
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with gr.Row():
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with gr.Column():
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input_image = gr.
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prompt = gr.Textbox(label="Prompt", value='')
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t2v = gr.Checkbox(label="do text-to-video", value=False)
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example_quick_prompts = gr.Dataset(samples=quick_prompts, label='Quick List', samples_per_page=1000, components=[prompt])
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@@ -485,7 +460,7 @@ with block:
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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. ")
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with gr.Accordion("Debug", open=False):
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input_image_debug = gr.
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prompt_debug = gr.Textbox(label="Prompt Debug", value='')
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total_second_length_debug = gr.Slider(label="Additional Video Length to Generate (Seconds) Debug", minimum=1, maximum=120, value=5, step=0.1)
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default_height, default_width = 640, 640
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input_image = np.ones((default_height, default_width, 3), dtype=np.uint8) * 255
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print("No input image provided. Using a blank white image.")
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yield None, None, '', '', gr.update(interactive=False), gr.update(interactive=True)
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""")
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with gr.Row():
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with gr.Column():
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input_image = gr.Image(sources='upload', type="numpy", label="Image", height=320)
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prompt = gr.Textbox(label="Prompt", value='')
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t2v = gr.Checkbox(label="do text-to-video", value=False)
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example_quick_prompts = gr.Dataset(samples=quick_prompts, label='Quick List', samples_per_page=1000, components=[prompt])
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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. ")
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with gr.Accordion("Debug", open=False):
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input_image_debug = gr.Image(type="numpy", label="Image Debug", height=320)
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prompt_debug = gr.Textbox(label="Prompt Debug", value='')
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total_second_length_debug = gr.Slider(label="Additional Video Length to Generate (Seconds) Debug", minimum=1, maximum=120, value=5, step=0.1)
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