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Runtime error
Runtime error
Examples
Browse files
app.py
CHANGED
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@@ -1649,14 +1649,13 @@ with block:
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| 1649 |
ips = [input_image, end_image, image_position, end_stillness, final_prompt, generation_mode, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, enable_preview, use_teacache, mp4_crf, fps_number]
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| 1650 |
ips_video = [input_video, end_image, end_stillness, final_prompt, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, 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]
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| 1651 |
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| 1652 |
-
with gr.
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| 1653 |
input_image_debug = gr.Image(type="numpy", label="Image Debug", height=320)
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| 1654 |
input_video_debug = gr.Video(sources='upload', label="Input Video Debug", height=320)
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| 1655 |
end_image_debug = gr.Image(type="numpy", label="End Image Debug", height=320)
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| 1656 |
prompt_debug = gr.Textbox(label="Prompt Debug", value='')
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| 1657 |
-
total_second_length_debug = gr.Slider(label="Additional Video Length to Generate (seconds) Debug", minimum=1, maximum=120, value=
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| 1658 |
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| 1659 |
-
with gr.Row(elem_id="text_examples", visible=False):
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gr.Examples(
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label = "Examples from text",
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examples = [
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@@ -1694,7 +1693,6 @@ with block:
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cache_examples = torch.cuda.device_count() > 0,
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)
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-
with gr.Row(elem_id="image_examples", visible=False):
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gr.Examples(
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label = "Examples from image",
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examples = [
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@@ -1836,7 +1834,6 @@ with block:
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cache_examples = torch.cuda.device_count() > 0,
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)
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| 1838 |
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-
with gr.Row(elem_id="start_end_examples", visible=False):
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gr.Examples(
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label = "Examples from start and end frames",
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examples = [
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@@ -1874,7 +1871,6 @@ with block:
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cache_examples = torch.cuda.device_count() > 0,
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)
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| 1876 |
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-
with gr.Row(elem_id="video_examples", visible=False):
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gr.Examples(
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label = "Examples from video",
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examples = [
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| 1649 |
ips = [input_image, end_image, image_position, end_stillness, final_prompt, generation_mode, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, enable_preview, use_teacache, mp4_crf, fps_number]
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| 1650 |
ips_video = [input_video, end_image, end_stillness, final_prompt, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, 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]
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+
with gr.Row(elem_id="cache", visible=False):
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input_image_debug = gr.Image(type="numpy", label="Image Debug", height=320)
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input_video_debug = gr.Video(sources='upload', label="Input Video Debug", height=320)
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end_image_debug = gr.Image(type="numpy", label="End 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=6, step=0.1)
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gr.Examples(
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label = "Examples from text",
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examples = [
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cache_examples = torch.cuda.device_count() > 0,
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)
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gr.Examples(
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label = "Examples from image",
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examples = [
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cache_examples = torch.cuda.device_count() > 0,
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)
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gr.Examples(
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label = "Examples from start and end frames",
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examples = [
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cache_examples = torch.cuda.device_count() > 0,
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)
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gr.Examples(
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label = "Examples from video",
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examples = [
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