import os import gradio as gr from modules import ui_sections from modules.logger import log from modules.video_models.models_def import models from modules.ltx import ltx_process debug = log.trace if os.environ.get('SD_VIDEO_DEBUG', None) is not None else lambda *args, **kwargs: None def create_ui(prompt, negative, styles, overrides, init_image, init_strength, last_image, mp4_fps, mp4_interpolate, mp4_codec, mp4_ext, mp4_opt, mp4_video, mp4_frames, mp4_sf, width, height, frames, seed): with gr.Row(): with gr.Column(variant='compact', elem_id="ltx_settings", elem_classes=['settings-column'], scale=1): with gr.Row(): generate = gr.Button('Generate', elem_id="ltx_generate_btn", variant='primary', visible=False) with gr.Row(): ltx_models = [m.name for m in models['LTX Video']] if 'LTX Video' in models else ['None'] model = gr.Dropdown(label='LTX model', choices=ltx_models, value=ltx_models[0], elem_id="ltx_model") with gr.Accordion(open=False, label="Condition", elem_id='ltx_condition_accordion'): with gr.Tabs(): with gr.Tab('Video', id='ltx_condition_video_tab'): condition_video = gr.Video(label='Video', type='filepath', elem_id="ltx_condition_video", width=256, height=256, source='upload') with gr.Row(): condition_video_frames = gr.Slider(label='LTX frames number', minimum=-1, maximum=1024, step=1, value=-1, elem_id="ltx_condition_video_frames") condition_video_skip = gr.Slider(label='LTX frames skip', minimum=0, maximum=1024, step=1, value=0, elem_id="ltx_condition_video_sip") with gr.Tab('Gallery', id='ltx_condition_batch_tab'): condition_files = gr.Files(label="Image Batch", interactive=True, elem_id="ltx_condition_batch") with gr.Accordion(open=False, label="Upsample", elem_id='ltx_upsample_accordion'): with gr.Row(): upsample_enable = gr.Checkbox(label='LTX enable upsampling', value=False, elem_id="ltx_upsample_enable") upsample_ratio = gr.Slider(label='LTX upsample ratio', minimum=1.0, maximum=4.0, step=0.1, value=2.0, elem_id="ltx_upsample_ratio", interactive=False) with gr.Accordion(open=False, label="Refine", elem_id='ltx_refine_accordion'): with gr.Row(): refine_enable = gr.Checkbox(label='LTX enable refine', value=False, elem_id="ltx_refine_enable") refine_strength = gr.Slider(label='LTX refine strength', minimum=0.1, maximum=1.0, step=0.05, value=0.4, elem_id="ltx_refine_strength") with gr.Accordion(open=False, label="Advanced", elem_id='ltx_parameters_accordion'): steps, sampler_index = ui_sections.create_sampler_and_steps_selection(None, "ltx", default_steps=50) with gr.Row(): decode_timestep = gr.Slider(label='LTX decode timestep', minimum=0.01, maximum=1.0, step=0.01, value=0.05, elem_id="ltx_decode_timestep") image_cond_noise_scale = gr.Slider(label='Noise scale', minimum=0.01, maximum=1.0, step=0.01, value=0.025, elem_id="ltx_image_cond_noise_scale") with gr.Accordion(open=False, label="Audio", elem_id='ltx_audio_accordion'): with gr.Row(): audio_enable = gr.Checkbox(label='LTX enable audio', value=False, elem_id="ltx_audio_enable") with gr.Column(elem_id='ltx-output-column', scale=2) as _column_output: with gr.Row(): video = gr.Video(label="Output", show_label=False, elem_id='ltx_output_video', elem_classes=['control-image'], height=512, autoplay=False) # video = gr.Gallery(value=[], label="Output", show_label=False, elem_id='ltx_output_video', elem_classes=['control-image'], height=512) with gr.Row(): text = gr.HTML('', elem_id='ltx_generation_info', show_label=False) task_id = gr.Textbox(visible=False, value='') ui_state = gr.Textbox(visible=False, value='') state_inputs = [task_id, ui_state] video_inputs = [ model, prompt, negative, styles, width, height, frames, steps, sampler_index, seed, upsample_enable, upsample_ratio, refine_enable, refine_strength, init_strength, init_image, last_image, condition_files, condition_video, condition_video_frames, condition_video_skip, decode_timestep, image_cond_noise_scale, mp4_fps, mp4_interpolate, mp4_codec, mp4_ext, mp4_opt, mp4_video, mp4_frames, mp4_sf, audio_enable, overrides, ] video_outputs = [ video, text, ] video_dict = dict( fn=ltx_process.run_ltx, _js="submit_ltx", inputs=state_inputs + video_inputs, outputs=video_outputs, show_progress='hidden', ) generate.click(**video_dict)