import os import gradio as gr from modules import shared, sd_models, ui_common, ui_sections, ui_symbols, call_queue from modules.ui_components import ToolButton from modules.video_models import models_def, video_utils from modules.video_models import video_run debug = shared.log.trace if os.environ.get('SD_VIDEO_DEBUG', None) is not None else lambda *args, **kwargs: None def engine_change(engine): debug(f'Video change: engine="{engine}"') found = [model.name for model in models_def.models.get(engine, [])] return gr.update(choices=found, value=found[0] if len(found) > 0 else None) def get_selected(engine, model): found = [model.name for model in models_def.models.get(engine, [])] if len(models_def.models[engine]) > 0 and len(found) > 0: selected = [m for m in models_def.models[engine] if m.name == model][0] return selected return None def model_change(engine, model): debug(f'Video change: engine="{engine}" model="{model}"') found = [model.name for model in models_def.models.get(engine, [])] selected = [m for m in models_def.models[engine] if m.name == model][0] if len(found) > 0 else None url = video_utils.get_url(selected.url if selected else None) return url def model_load(engine, model): debug(f'Video load: engine="{engine}" model="{model}"') selected = get_selected(engine, model) yield f'Video model loading: {selected.name}' if selected: if 'None' in selected.name: sd_models.unload_model_weights() msg = 'Video model unloaded' else: from modules.video_models import video_load msg = video_load.load_model(selected) else: sd_models.unload_model_weights() msg = 'Video model unloaded' yield msg return msg def run_video(*args): engine, model = args[2], args[3] debug(f'Video run: engine="{engine}" model="{model}"') selected = get_selected(engine, model) if not selected or engine is None or model is None or engine == 'None' or model == 'None': return video_utils.queue_err('model not selected') debug(f'Video run: {str(selected)}') if selected and 'Hunyuan' in selected.name: return video_run.generate(*args) elif selected and 'LTX' in selected.name: return video_run.generate(*args) elif selected and 'Mochi' in selected.name: return video_run.generate(*args) elif selected and 'Cog' in selected.name: return video_run.generate(*args) elif selected and 'Allegro' in selected.name: return video_run.generate(*args) elif selected and 'WAN' in selected.name: return video_run.generate(*args) elif selected and 'Latte' in selected.name: return video_run.generate(*args) elif selected and 'anisora' in selected.name.lower(): return video_run.generate(*args) return video_utils.queue_err(f'model not found: engine="{engine}" model="{model}"') def create_ui(prompt, negative, styles, overrides): with gr.Row(): with gr.Column(variant='compact', elem_id="video_settings", elem_classes=['settings-column'], scale=1): with gr.Row(): generate = gr.Button('Generate', elem_id="video_generate_btn", variant='primary', visible=False) with gr.Row(): engine = gr.Dropdown(label='Engine', choices=list(models_def.models), value='None', elem_id="video_engine") model = gr.Dropdown(label='Model', choices=[''], value=None, elem_id="video_model") btn_load = ToolButton(ui_symbols.loading, elem_id="video_model_load") with gr.Row(): url = gr.HTML(label='Model URL', elem_id='video_model_url', value='

') with gr.Accordion(open=True, label="Size", elem_id='video_size_accordion'): with gr.Row(): width, height = ui_sections.create_resolution_inputs('video', default_width=832, default_height=480) with gr.Row(): frames = gr.Slider(label='Frames', minimum=1, maximum=1024, step=1, value=17, elem_id="video_frames") seed = gr.Number(label='Initial seed', value=-1, elem_id="video_seed", container=True) random_seed = ToolButton(ui_symbols.random, elem_id="video_random_seed") reuse_seed = ToolButton(ui_symbols.reuse, elem_id="video_reuse_seed") with gr.Accordion(open=False, label="Parameters", elem_id='video_parameters_accordion'): steps, sampler_index = ui_sections.create_sampler_and_steps_selection(None, "video", default_steps=50) with gr.Row(): sampler_shift = gr.Slider(label='Sampler shift', minimum=-1.0, maximum=20.0, step=0.1, value=-1.0, elem_id="video_scheduler_shift") dynamic_shift = gr.Checkbox(label='Dynamic shift', value=False, elem_id="video_dynamic_shift") with gr.Row(): guidance_scale = gr.Slider(label='Guidance scale', minimum=-1.0, maximum=14.0, step=0.1, value=-1.0, elem_id="video_guidance_scale") guidance_true = gr.Slider(label='True guidance', minimum=-1.0, maximum=14.0, step=0.1, value=-1.0, elem_id="video_guidance_true") with gr.Accordion(open=False, label="Decode", elem_id='video_decode_accordion'): with gr.Row(): vae_type = gr.Dropdown(label='VAE decode', choices=['Default', 'Tiny', 'Remote'], value='Default', elem_id="video_vae_type") vae_tile_frames = gr.Slider(label='Tile frames', minimum=1, maximum=64, step=1, value=16, elem_id="video_vae_tile_frames") with gr.Accordion(open=False, label="Init image", elem_id='video_init_accordion'): init_strength = gr.Slider(label='Init strength', minimum=0.0, maximum=1.0, step=0.01, value=0.5, elem_id="video_denoising_strength") gr.HTML("
  Init image") init_image = gr.Image(elem_id="video_image", show_label=False, type="pil", image_mode="RGB", width=256, height=256) gr.HTML("
  Last image") last_image = gr.Image(elem_id="video_last", show_label=False, type="pil", image_mode="RGB", width=256, height=256) with gr.Accordion(open=False, label="Output", elem_id='video_output_accordion'): with gr.Row(): save_frames = gr.Checkbox(label='Save image frames', value=False, elem_id="video_save_frames") with gr.Row(): video_type, video_duration, video_loop, video_pad, video_interpolate = ui_sections.create_video_inputs(tab='video', show_always=True) # output panel with gallery and video tabs with gr.Column(elem_id='video-output-column', scale=2) as _column_output: with gr.Tabs(elem_classes=['video-output-tabs'], elem_id='video-output-tabs'): with gr.Tab('Frames', id='out-gallery'): gallery, gen_info, html_info, _html_info_formatted, html_log = ui_common.create_output_panel("video", prompt=prompt, preview=False, transfer=False, scale=2) with gr.Tab('Video', id='out-video'): video = gr.Video(label="Output", show_label=False, elem_id='control_output_video', elem_classes=['control-image'], height=512, autoplay=False) # connect reuse seed button ui_common.connect_reuse_seed(seed, reuse_seed, gen_info, is_subseed=False) random_seed.click(fn=lambda: -1, show_progress=False, inputs=[], outputs=[seed]) # handle engine and model change engine.change(fn=engine_change, inputs=[engine], outputs=[model]) model.change(fn=model_change, inputs=[engine, model], outputs=[url]) btn_load.click(fn=model_load, inputs=[engine, model], outputs=[html_log]) # hidden fields task_id = gr.Textbox(visible=False, value='') ui_state = gr.Textbox(visible=False, value='') state_inputs = [task_id, ui_state] # generate args video_inputs = [ engine, model, prompt, negative, styles, width, height, frames, steps, sampler_index, sampler_shift, dynamic_shift, seed, guidance_scale, guidance_true, init_image, init_strength, last_image, vae_type, vae_tile_frames, save_frames, video_type, video_duration, video_loop, video_pad, video_interpolate, overrides, ] video_outputs = [ gallery, video, gen_info, html_info, html_log, ] video_dict = dict( fn=call_queue.wrap_gradio_gpu_call(video_run.generate, extra_outputs=[None, '', ''], name='Video'), _js="submit_video", inputs=state_inputs + video_inputs, outputs=video_outputs, show_progress=False, ) generate.click(**video_dict)