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Runtime error
Runtime error
Merge examples
Browse files
app.py
CHANGED
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@@ -1579,7 +1579,7 @@ with block:
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progress_bar = gr.HTML('', elem_classes='no-generating-animation')
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ips = [input_image, end_image, image_position, final_prompt, generation_mode, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, 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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ips_video = [input_video, end_image, final_prompt,
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with gr.Row(elem_id="text_examples", visible=False):
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gr.Examples(
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@@ -1847,68 +1847,6 @@ 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="video_end_examples", visible=False):
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gr.Examples(
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label = "Examples from video & end frame",
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examples = [
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[
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"./img_examples/Example1.mp4", # input_video
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"./img_examples/Example1.png", # end_image
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"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",
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"Missing arm, long hand, unrealistic position, impossible contortion, visible bone, muscle contraction, poorly framed, blurred, blurry, over-smooth", # n_prompt
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True, # randomize_seed
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42, # seed
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True, # auto_allocation
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180, # allocation_time
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1, # batch
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672, # resolution
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1, # total_second_length
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9, # latent_window_size
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30, # steps
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1.0, # cfg
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10.0, # gs
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0.0, # rs
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6, # gpu_memory_preservation
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False, # enable_preview
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False, # use_teacache
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False, # no_resize
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16, # mp4_crf
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5, # num_clean_frames
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default_vae
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],
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[
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"./img_examples/Example1.mp4", # input_video
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"./img_examples/Example1.png", # end_image
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"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",
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"Missing arm, long hand, unrealistic position, impossible contortion, visible bone, muscle contraction, poorly framed, blurred, blurry, over-smooth", # n_prompt
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True, # randomize_seed
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42, # seed
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True, # auto_allocation
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180, # allocation_time
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1, # batch
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672, # resolution
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1, # total_second_length
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9, # latent_window_size
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30, # steps
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1.0, # cfg
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10.0, # gs
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0.0, # rs
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6, # gpu_memory_preservation
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False, # enable_preview
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True, # use_teacache
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False, # no_resize
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16, # mp4_crf
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5, # num_clean_frames
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default_vae
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],
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],
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run_on_click = True,
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fn = process_video,
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inputs = ips_video,
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outputs = [result_video, preview_image, progress_desc, progress_bar, start_button_video, end_button, warning],
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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 text",
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examples = [
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16, # mp4_crf
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5, # num_clean_frames
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default_vae
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]
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],
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run_on_click = True,
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fn = process_video,
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inputs = ips_video,
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outputs = [result_video, preview_image, progress_desc, progress_bar, start_button_video, end_button, warning],
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cache_examples = False,
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)
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gr.Examples(
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label = "🎥 Examples from video & end frame",
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examples = [
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[
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"./img_examples/Example1.mp4", # input_video
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"./img_examples/Example1.png", # end_image
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progress_bar = gr.HTML('', elem_classes='no-generating-animation')
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ips = [input_image, end_image, image_position, final_prompt, generation_mode, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, 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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ips_video = [input_video, end_image, 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="text_examples", visible=False):
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gr.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 text",
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examples = [
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16, # mp4_crf
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5, # num_clean_frames
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default_vae
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],
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[
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"./img_examples/Example1.mp4", # input_video
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"./img_examples/Example1.png", # end_image
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