mirror of https://github.com/vladmandic/automatic
191 lines
11 KiB
Python
191 lines
11 KiB
Python
import os
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import gradio as gr
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from modules import shared, sd_models, timer, images, ui_common, ui_sections, ui_symbols, call_queue, generation_parameters_copypaste
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from modules.ui_components import ToolButton
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from modules.video_models import models_def, video_utils
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debug = shared.log.trace if os.environ.get('SD_VIDEO_DEBUG', None) is not None else lambda *args, **kwargs: None
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def engine_change(engine):
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debug(f'Video change: engine="{engine}"')
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found = [model.name for model in models_def.models.get(engine, [])]
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return gr.update(choices=found, value=found[0] if len(found) > 0 else None)
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def get_selected(engine, model):
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found = [model.name for model in models_def.models.get(engine, [])]
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if len(models_def.models[engine]) > 0 and len(found) > 0:
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selected = [m for m in models_def.models[engine] if m.name == model][0]
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return selected
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return None
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def model_change(engine, model):
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debug(f'Video change: engine="{engine}" model="{model}"')
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found = [model.name for model in models_def.models.get(engine, [])]
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selected = [m for m in models_def.models[engine] if m.name == model][0] if len(found) > 0 else None
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url = video_utils.get_url(selected.url if selected else None)
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i2v = 'i2v' in selected.name.lower() if selected else False
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return url, gr.update(visible=i2v)
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def model_load(engine, model):
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debug(f'Video load: engine="{engine}" model="{model}"')
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selected = get_selected(engine, model)
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yield f'Video model loading: {selected.name}'
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if selected:
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if 'None' in selected.name:
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sd_models.unload_model_weights()
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msg = 'Video model unloaded'
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else:
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from modules.video_models import video_load
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msg = video_load.load_model(selected)
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else:
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sd_models.unload_model_weights()
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msg = 'Video model unloaded'
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yield msg
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return msg
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def run_video(*args):
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engine, model = args[2], args[3]
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debug(f'Video run: engine="{engine}" model="{model}"')
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selected = get_selected(engine, model)
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if not selected or engine is None or model is None or engine == 'None' or model == 'None':
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return video_utils.queue_err('model not selected')
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debug(f'Video run: {str(selected)}')
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from modules.video_models import video_run
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if selected and 'Hunyuan' in selected.name:
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return video_run.generate(*args)
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elif selected and 'LTX' in selected.name:
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return video_run.generate(*args)
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elif selected and 'Mochi' in selected.name:
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return video_run.generate(*args)
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elif selected and 'Cog' in selected.name:
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return video_run.generate(*args)
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elif selected and 'Allegro' in selected.name:
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return video_run.generate(*args)
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elif selected and 'WAN' in selected.name:
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return video_run.generate(*args)
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elif selected and 'Latte' in selected.name:
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return video_run.generate(*args)
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elif selected and 'anisora' in selected.name.lower():
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return video_run.generate(*args)
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return video_utils.queue_err(f'model not found: engine="{engine}" model="{model}"')
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def create_ui():
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shared.log.debug('UI initialize: video')
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with gr.Blocks(analytics_enabled=False) as _video_interface:
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prompt, styles, negative, generate, _reprocess, paste, networks_button, _token_counter, _token_button, _token_counter_negative, _token_button_negative = ui_sections.create_toprow(is_img2img=False, id_part="video", negative_visible=True, reprocess_visible=False)
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prompt_image = gr.File(label="", elem_id="video_prompt_image", file_count="single", type="binary", visible=False)
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prompt_image.change(fn=images.image_data, inputs=[prompt_image], outputs=[prompt, prompt_image])
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with gr.Row(variant='compact', elem_id="video_extra_networks", elem_classes=["extra_networks_root"], visible=False) as extra_networks_ui:
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from modules import ui_extra_networks
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extra_networks_ui = ui_extra_networks.create_ui(extra_networks_ui, networks_button, 'video', skip_indexing=shared.opts.extra_network_skip_indexing)
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timer.startup.record('ui-networks')
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with gr.Row(elem_id="video_interface", equal_height=False):
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with gr.Column(variant='compact', elem_id="video_settings", scale=1):
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with gr.Row():
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engine = gr.Dropdown(label='Engine', choices=list(models_def.models), value='None', elem_id="video_engine")
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model = gr.Dropdown(label='Model', choices=[''], value=None, elem_id="video_model")
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btn_load = ToolButton(ui_symbols.loading, elem_id="video_model_load")
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with gr.Row():
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url = gr.HTML(label='Model URL', elem_id='video_model_url', value='<br><br>')
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with gr.Accordion(open=True, label="Size", elem_id='video_size_accordion'):
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with gr.Row():
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width, height = ui_sections.create_resolution_inputs('video', default_width=832, default_height=480)
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with gr.Row():
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frames = gr.Slider(label='Frames', minimum=1, maximum=1024, step=1, value=15, elem_id="video_frames")
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seed = gr.Number(label='Initial seed', value=-1, elem_id="video_seed", container=True)
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random_seed = ToolButton(ui_symbols.random, elem_id="video_random_seed")
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reuse_seed = ToolButton(ui_symbols.reuse, elem_id="video_reuse_seed")
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with gr.Accordion(open=True, label="Parameters", elem_id='video_parameters_accordion'):
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steps, sampler_index = ui_sections.create_sampler_and_steps_selection(None, "video")
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with gr.Row():
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sampler_shift = gr.Slider(label='Sampler shift', minimum=-1.0, maximum=20.0, step=0.1, value=-1.0, elem_id="video_scheduler_shift")
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dynamic_shift = gr.Checkbox(label='Dynamic shift', value=False, elem_id="video_dynamic_shift")
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with gr.Row():
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guidance_scale = gr.Slider(label='Guidance scale', minimum=-1.0, maximum=14.0, step=0.1, value=-1.0, elem_id="video_guidance_scale")
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guidance_true = gr.Slider(label='True guidance', minimum=-1.0, maximum=14.0, step=0.1, value=-1.0, elem_id="video_guidance_true")
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with gr.Accordion(open=True, label="Decode", elem_id='video_decode_accordion'):
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with gr.Row():
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vae_type = gr.Dropdown(label='VAE decode', choices=['Default', 'Tiny', 'Remote'], value='Default', elem_id="video_vae_type")
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vae_tile_frames = gr.Slider(label='Tile frames', minimum=1, maximum=64, step=1, value=16, elem_id="video_vae_tile_frames")
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with gr.Accordion(open=False, label="Init image", elem_id='video_init_accordion', visible=False) as init_accordion:
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init_strength = gr.Slider(label='Init strength', minimum=0.0, maximum=1.0, step=0.01, value=0.5, elem_id="video_denoising_strength")
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gr.HTML("<br>  Init image")
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init_image = gr.Image(elem_id="video_image", show_label=False, type="pil", image_mode="RGB", height=512)
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gr.HTML("<br>  Last image")
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last_image = gr.Image(elem_id="video_last", show_label=False, type="pil", image_mode="RGB", height=512)
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with gr.Accordion(open=True, label="Output", elem_id='video_output_accordion'):
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with gr.Row():
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save_frames = gr.Checkbox(label='Save image frames', value=False, elem_id="video_save_frames")
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with gr.Row():
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video_type, video_duration, video_loop, video_pad, video_interpolate = ui_sections.create_video_inputs(tab='video', show_always=True)
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override_settings = ui_common.create_override_inputs('video')
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# output panel with gallery and video tabs
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with gr.Column(elem_id='video-output-column', scale=2) as _column_output:
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with gr.Tabs(elem_classes=['video-output-tabs'], elem_id='video-output-tabs'):
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with gr.Tab('Frames', id='out-gallery'):
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gallery, gen_info, html_info, _html_info_formatted, html_log = ui_common.create_output_panel("video", prompt=prompt, preview=False, transfer=False, scale=2)
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with gr.Tab('Video', id='out-video'):
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video = gr.Video(label="Output", show_label=False, elem_id='control_output_video', elem_classes=['control-image'], height=512, autoplay=False)
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# connect reuse seed button
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ui_common.connect_reuse_seed(seed, reuse_seed, gen_info, is_subseed=False)
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random_seed.click(fn=lambda: -1, show_progress=False, inputs=[], outputs=[seed])
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# handle engine and model change
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engine.change(fn=engine_change, inputs=[engine], outputs=[model])
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model.change(fn=model_change, inputs=[engine, model], outputs=[url, init_accordion])
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btn_load.click(fn=model_load, inputs=[engine, model], outputs=[html_log])
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# setup extra networks
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ui_extra_networks.setup_ui(extra_networks_ui, gallery)
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# handle restore fields
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paste_fields = [
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(prompt, "Prompt"),
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(width, "Size-1"),
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(height, "Size-2"),
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(frames, "Frames"),
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]
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generation_parameters_copypaste.add_paste_fields("video", None, paste_fields, override_settings)
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bindings = generation_parameters_copypaste.ParamBinding(paste_button=paste, tabname="video", source_text_component=prompt, source_image_component=None)
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generation_parameters_copypaste.register_paste_params_button(bindings)
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# hidden fields
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task_id = gr.Textbox(visible=False, value='')
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ui_state = gr.Textbox(visible=False, value='')
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# generate args
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video_args = [
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task_id, ui_state,
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engine, model,
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prompt, negative, styles,
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width, height,
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frames,
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steps, sampler_index,
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sampler_shift, dynamic_shift,
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seed,
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guidance_scale, guidance_true,
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init_image, init_strength, last_image,
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vae_type, vae_tile_frames,
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save_frames,
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video_type, video_duration, video_loop, video_pad, video_interpolate,
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override_settings,
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]
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# generate function
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video_dict = dict(
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fn=call_queue.wrap_gradio_gpu_call(run_video, extra_outputs=[None, '', ''], name='Video'),
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_js="submit_video",
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inputs=video_args,
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outputs=[gallery, video, gen_info, html_info, html_log],
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show_progress=False,
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)
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prompt.submit(**video_dict)
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generate.click(**video_dict)
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