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import gradio as gr |
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import modules.paths as ph |
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from .general_utils import get_os |
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from .upscaling import process_ncnn_upscale_vid_upload_logic |
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from .video_audio_utilities import extract_number, get_quick_vid_info, get_ffmpeg_params |
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from .frame_interpolation import process_interp_vid_upload_logic, process_interp_pics_upload_logic |
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from .vid2depth import process_depth_vid_upload_logic |
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f_models_path = ph.models_path + '/Deforum' |
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def upload_vid_to_interpolate(file, engine, x_am, sl_enabled, sl_am, keep_imgs, in_vid_fps): |
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if not file or engine == 'None': |
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return print("Please upload a video and set a proper value for 'Interp X'. Can't interpolate x0 times :)") |
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f_location, f_crf, f_preset = get_ffmpeg_params() |
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process_interp_vid_upload_logic(file, engine, x_am, sl_enabled, sl_am, keep_imgs, f_location, f_crf, f_preset, in_vid_fps, f_models_path, file.orig_name) |
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def upload_pics_to_interpolate(pic_list, engine, x_am, sl_enabled, sl_am, keep_imgs, fps, add_audio, audio_track): |
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from PIL import Image |
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if pic_list is None or len(pic_list) < 2: |
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return print("Please upload at least 2 pics for interpolation.") |
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f_location, f_crf, f_preset = get_ffmpeg_params() |
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pic_sizes = [Image.open(picture_path.name).size for picture_path in pic_list] |
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if len(set(pic_sizes)) != 1: |
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return print("All uploaded pics need to be of the same Width and Height / resolution.") |
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resolution = pic_sizes[0] |
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process_interp_pics_upload_logic(pic_list, engine, x_am, sl_enabled, sl_am, keep_imgs, f_location, f_crf, f_preset, fps, f_models_path, resolution, add_audio, audio_track) |
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def ncnn_upload_vid_to_upscale(vid_path, in_vid_fps, in_vid_res, out_vid_res, upscale_model, upscale_factor, keep_imgs): |
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if vid_path is None: |
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print("Please upload a video :)") |
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return |
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f_location, f_crf, f_preset = get_ffmpeg_params() |
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current_user = get_os() |
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process_ncnn_upscale_vid_upload_logic(vid_path, in_vid_fps, in_vid_res, out_vid_res, f_models_path, upscale_model, upscale_factor, keep_imgs, f_location, f_crf, f_preset, current_user) |
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def upload_vid_to_depth(vid_to_depth_chosen_file, mode, thresholding, threshold_value, threshold_value_max, adapt_block_size, adapt_c, invert, end_blur, midas_weight_vid2depth, depth_keep_imgs): |
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if not vid_to_depth_chosen_file: |
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return print("Please upload a video :()") |
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f_location, f_crf, f_preset = get_ffmpeg_params() |
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process_depth_vid_upload_logic(vid_to_depth_chosen_file, mode, thresholding, threshold_value, threshold_value_max, adapt_block_size, adapt_c, invert, end_blur, midas_weight_vid2depth, |
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vid_to_depth_chosen_file.orig_name, depth_keep_imgs, f_location, f_crf, f_preset, f_models_path) |
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def change_visibility_from_skip_video(choice): |
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return gr.update(visible=False) if choice else gr.update(visible=True) |
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def update_r_upscale_factor(choice): |
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return gr.update(value='x4', choices=['x4']) if choice != 'realesr-animevideov3' else gr.update(value='x2', choices=['x2', 'x3', 'x4']) |
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def change_perlin_visibility(choice): |
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return gr.update(visible=choice == "perlin") |
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def legacy_3d_mode(choice): |
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return gr.update(visible=choice.lower() in ["midas+adabins (old)", 'zoe+adabins (old)']) |
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def change_color_coherence_image_path_visibility(choice): |
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return gr.update(visible=choice == "Image") |
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def change_color_coherence_video_every_N_frames_visibility(choice): |
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return gr.update(visible=choice == "Video Input") |
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def change_seed_iter_visibility(choice): |
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return gr.update(visible=choice == "iter") |
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def change_seed_schedule_visibility(choice): |
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return gr.update(visible=choice == "schedule") |
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def disable_pers_flip_accord(choice): |
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return gr.update(visible=True) if choice in ['2D', '3D'] else gr.update(visible=False) |
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def per_flip_handle(anim_mode, per_f_enabled): |
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if anim_mode in ['2D', '3D'] and per_f_enabled: |
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return gr.update(visible=True) |
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return gr.update(visible=False) |
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def change_max_frames_visibility(choice): |
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return gr.update(visible=choice != "Video Input") |
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def change_diffusion_cadence_visibility(choice): |
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return gr.update(visible=choice not in ['Video Input', 'Interpolation']) |
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def disble_3d_related_stuff(choice): |
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return gr.update(visible=False) if choice != '3D' else gr.update(visible=True) |
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def only_show_in_non_3d_mode(choice): |
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return gr.update(visible=False) if choice == '3D' else gr.update(visible=True) |
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def enable_2d_related_stuff(choice): |
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return gr.update(visible=True) if choice == '2D' else gr.update(visible=False) |
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def disable_by_interpolation(choice): |
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return gr.update(visible=False) if choice in ['Interpolation'] else gr.update(visible=True) |
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def disable_by_video_input(choice): |
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return gr.update(visible=False) if choice in ['Video Input'] else gr.update(visible=True) |
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def hide_if_none(choice): |
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return gr.update(visible=choice != "None") |
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def change_gif_button_visibility(choice): |
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if choice is None or choice == "": |
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return gr.update(visible=True) |
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return gr.update(visible=False, value=False) if int(choice) > 30 else gr.update(visible=True) |
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def hide_if_false(choice): |
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return gr.update(visible=True) if choice else gr.update(visible=False) |
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def hide_if_true(choice): |
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return gr.update(visible=False) if choice else gr.update(visible=True) |
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def disable_by_hybrid_composite_dynamic(choice, comp_mask_type): |
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if choice in ['Normal', 'Before Motion', 'After Generation']: |
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if comp_mask_type != 'None': |
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return gr.update(visible=True) |
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return gr.update(visible=False) |
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def disable_by_non_optical_flow(choice): |
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return gr.update(visible=False) if choice != 'Optical Flow' else gr.update(visible=True) |
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def vid_upscale_gradio_update_stats(vid_path, upscale_factor): |
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if not vid_path: |
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return '---', '---', '---', '---' |
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factor = extract_number(upscale_factor) |
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fps, fcount, resolution = get_quick_vid_info(vid_path.name) |
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in_res_str = f"{resolution[0]}*{resolution[1]}" |
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out_res_str = f"{resolution[0] * factor}*{resolution[1] * factor}" |
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return fps, fcount, in_res_str, out_res_str |
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def update_upscale_out_res(in_res, upscale_factor): |
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if not in_res: |
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return '---' |
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factor = extract_number(upscale_factor) |
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w, h = [int(x) * factor for x in in_res.split('*')] |
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return f"{w}*{h}" |
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def update_upscale_out_res_by_model_name(in_res, upscale_model_name): |
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if not upscale_model_name or in_res == '---': |
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return '---' |
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factor = 2 if upscale_model_name == 'realesr-animevideov3' else 4 |
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return f"{int(in_res.split('*')[0]) * factor}*{int(in_res.split('*')[1]) * factor}" |
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def hide_optical_flow_cadence(cadence_value): |
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return gr.update(visible=True) if cadence_value > 1 else gr.update(visible=False) |
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def hide_interp_by_interp_status(choice): |
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return gr.update(visible=False) if choice == 'None' else gr.update(visible=True) |
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def change_interp_x_max_limit(engine_name, current_value): |
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if engine_name == 'FILM': |
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return gr.update(maximum=300) |
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elif current_value > 10: |
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return gr.update(maximum=10, value=2) |
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return gr.update(maximum=10) |
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def hide_interp_stats(choice): |
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return gr.update(visible=True) if choice is not None else gr.update(visible=False) |
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def show_hybrid_html_msg(choice): |
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return gr.update(visible=True) if choice not in ['2D', '3D'] else gr.update(visible=False) |
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def change_hybrid_tab_status(choice): |
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return gr.update(visible=True) if choice in ['2D', '3D'] else gr.update(visible=False) |
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def show_leres_html_msg(choice): |
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return gr.update(visible=True) if choice.lower() == 'leres' else gr.update(visible=False) |
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def show_when_ddim(sampler_name): |
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return gr.update(visible=True) if sampler_name.lower() == 'ddim' else gr.update(visible=False) |
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def show_when_ancestral_samplers(sampler_name): |
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return gr.update(visible=True) if sampler_name.lower() in ['euler a', 'dpm++ 2s a', 'dpm2 a', 'dpm2 a karras', 'dpm++ 2s a karras'] else gr.update(visible=False) |
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def change_css(checkbox_status): |
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if checkbox_status: |
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display = "block" |
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else: |
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display = "none" |
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html_template = f''' |
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<style> |
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#tab_deforum_interface .svelte-e8n7p6, #f_interp_accord {{ |
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display: {display} !important; |
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}} |
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</style> |
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''' |
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return html_template |
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