3.0.0 (#748)
* Cleanup after age modifier PR * Cleanup after age modifier PR * Use OpenVino 2024.2.0 for installer * Prepare 3.0.0 for installer * Fix benchmark suite, Introduce sync_item() for state manager * Fix lint * Render slide preview also in lower res * Lower thread and queue count to avoid false usage * Fix spacing * Feat/jobs UI (#627) * Jobs UI part1 * Change naming * Jobs UI part2 * Jobs UI part3 * Jobs UI part4 * Jobs UI part4 * Jobs UI part5 * Jobs UI part6 * Jobs UI part7 * Jobs UI part8 * Jobs UI part9 * Jobs UI part10 * Jobs UI part11 * Jobs UI part12 * Fix rebase * Jobs UI part13 * Jobs UI part14 * Jobs UI part15 * changes (#626) * Remove useless ui registration * Remove useless ui registration * move job_list.py replace [0] with get_first() * optimize imports * fix date None problem add test job list * Jobs UI part16 * Jobs UI part17 * Jobs UI part18 * Jobs UI part19 * Jobs UI part20 * Jobs UI part21 * Jobs UI part22 * move job_list_options * Add label to job status checkbox group * changes * changes --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update some dependencies * UI helper to convert 'none' * validate job (#628) * changes * changes * add test * changes * changes * Minor adjustments * Replace is_json with is_file * Handle empty and invalid json in job_list * Handle empty and invalid json in job_list * Handle empty and invalid json in job_list * Work on the job manager UI * Cosmetic changes on common helper * Just make it work for now * Just make it work for now * Just make it work for now * Streamline the step index lookups * Hide footer * Simplify instant runner * Simplify instant runner UI and job manager UI * Fix empty step choices * Fix empty step choices * Fix none values in UI * Rework on benchmark (add warmup) and job list * Improve ValueAndUnit * Add step 1 of x output * Cosmetic changes on the UI * Fix invalid job file names * Update preview * Introducing has_step() and sorting out insert behaviour * Introducing has_step() and sorting out insert behaviour * Add [ none ] to some job id dropdowns * Make updated dropdown values kinda perfect * Make updated dropdown values kinda perfect * Fix testing * Minor improvement on UI * Fix false config lookup * Remove TensorRT as our models are not made for it * Feat/cli commands second try rev2 (#640) * Refactor CLI to commands * Refactor CLI to commands part2 * Refactor CLI to commands part3 * Refactor CLI to commands part4 * Rename everything to facefusion.py * Refactor CLI to commands part5 * Refactor CLI to commands part6 * Adjust testing * Fix lint * Fix lint * Fix lint * Refactor CLI to commands part7 * Extend State typing * Fix false config lookup, adjust logical orders * Move away from passing program part1 * Move away from passing program part2 * Move away from passing program part3 * Fix lint * Move away from passing program part4 * ui-args update * ui-args update * ui-args update * temporary type fix * Move away from passing program part5 * remove unused * creates args.py * Move away from passing program part6 * Move away from passing program part7 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Minor optimizations * Update commands in README * Fix job-retry command * Fix multi runs via UI * add more job keys * Cleanup codebase * One method to create inference session (#641) * One method to create inference session * Remove warnings, as there are none * Remember job id during processing * Fix face masker config block * Change wording * Prevent age modifier from using CoreML * add expression restorer (#642) * add expression restorer * fix import * fix lint * changes * changes * changes * Host the final model for expression restorer * Insert step on the given index * UI workover (#644) * UI workover part1 * Introduce ComponentOptions * Only set Media components to None when visibility changes * Clear static faces and reference faces between step processing * Minor changes * Minor changes * Fix testing * Enable test_sanitize_path_for_windows (#646) * Dynamic download during job processing (#647) * Fix face masker UI * Rename run-headless to headless-run * Feat/split frame processor UI (#649) * Split frame processor UI * Split frame processor UI part3, Refactor get_model_initializer * Split frame processor UI part4 * Feat/rename frame processors (#651) * Rename frame processors * Rename frame processors part2 * Fix imports Conflicts: facefusion/uis/layouts/benchmark.py facefusion/uis/layouts/default.py * Fix imports * Cosmetic changes * Fix multi threading for ROCm * Change temp frames pattern * Adjust terminal help * remove expression restorer (#653) * Expression restorer as processor (#655) * add expression restorer * changes * Cleanup code * Add TensorRT support back * Add TensorRT support back * Add TensorRT support back * changes (#656) * Change minor wording * Fix face enhancer slider * Add more typing * Fix expression-restorer when using trim (#659) * changes * changes * Rework/model and inference pool part2 (#660) * Rework on model and inference pool * Introduce inference sources and pools part1 * Introduce inference sources and pools part2 * Introduce inference sources and pools part3 * Introduce inference sources and pools part4 * Introduce inference sources and pools part5 * Introduce inference sources and pools part6 * Introduce inference sources and pools part6 * Introduce inference sources and pools part6 * Introduce inference sources and pools part7 * Introduce inference sources and pools part7 * Introduce inference sources and pools part8 * Introduce inference sources and pools part9 * Introduce inference sources and pools part10 * Introduce inference sources and pools part11 * Introduce inference sources and pools part11 * Introduce inference sources and pools part11 * Introduce inference sources and pools part12 * Reorganize the face masker UI * Fix trim in UI * Feat/hashed sources (#668) * Introduce source helper * Remove post_check() and just use process_manager * Remove post_check() part2 * Add hash based downloads * Add hash based downloads part2 * Add hash based downloads part3 * Add hash based downloads part4 * Add hash based downloads part5 * Add hash based downloads part6 * Add hash based downloads part7 * Add hash based downloads part7 * Add hash based downloads part8 * Remove print * Prepare 3.0.0 release * Fix UI * Release the check when really done * Update inputs for live portrait * Update to 3.0.0 releases, extend download postfix * Move files to the right place * Logging for the hash and source validation * Changing logic to handle corrupt sources * Fix typo * Use names over get_inputs(), Remove set_options() call * Age modifier now works for CoreML too * Update age_modifier.py * Add video encoder h264_videotoolbox and hevc_videotoolbox * Face editor add eye gaze & remove open factor sliders (#670) * changes * add eye gaze * changes * cleanup * add eyebrow control * changes * changes * Feat/terminal UI (#671) * Introduce terminal to the UI * Introduce terminal to the UI part2 * Introduce terminal to the UI part2 * Introduce terminal to the UI part2 * Calc range step to avoid weird values * Use Sequence for ranges * Use Sequence for ranges * changes (#673) * Use Sequence for ranges * Finalize terminal UI * Finalize terminal UI * Webcam cosmetics, Fix normalize fps to accept int * Cosmetic changes * Finalize terminal UI * Rename leftover typings * Fix wording * Fix rounding in metavar * Fix rounding in metavar * Rename to face classifier * Face editor lip moves (#677) * changes * changes * changes * Fix rounding in metavar * Rename to face classifier * changes * changes * update naming --------- Co-authored-by: henryruhs <info@henryruhs.com> * Fix wording * Feat/many landmarker + face analyser breakdown (#678) * Basic multi landmarker integration * Simplify some method names * Break into face_detector and face_landmarker * Fix cosmetics * Fix testing * Break into face_attributor and face_recognizer * Clear them all * Clear them all * Rename to face classifier * Rename to face classifier * Fix testing * Fix stuff * Add face landmarker model to UI * Add face landmarker model to UI part2 * Split the config * Split the UI * Improvement from code review * Improvement from code review * Validate args also for sub parsers * Remove clear of processors in process step * Allow finder control for the face editor * Fix lint * Improve testing performance * Remove unused file, Clear processors from the UI before job runs * Update the installer * Uniform set handler for swapper and detector in the UI * Fix example urls * Feat/inference manager (#684) * Introduce inference manager * Migrate all to inference manager * clean ini * Introduce app context based inference pools * Fix lint * Fix typing * Adjust layout * Less border radius * Rename app context names * Fix/live portrait directml (#691) * changes (#690) * Adjust naming * Use our assets release * Adjust naming --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Add caches to gitignore * Update dependencies and drop CUDA 11.8 support (#693) * Update dependencies and drop CUDA 11.8 support * Play save and keep numpy 1.x.x * Improve TensorRT optimization * changes * changes * changes * changes * changes * changes * changes * changes * changes * Reuse inference sessions (#696) * Fix force-download command * Refactor processors to forward() (#698) * Install tensorrt when selecting cuda * Minor changes * Use latest numpy * Fix limit system memory * Implement forward() for every inference (#699) * Implement forward() for every inference * Implement forward() for every inference * Implement forward() for every inference * Implement forward() for every inference * changes * changes * changes * changes * Feat/fairface (#710) * Replace gender_age model with fair face (#709) * changes * changes * changes * age dropdown to range-slider * Cleanup code * Cleanup code --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Extend installer to set library paths for cuda and tensorrt (#707) * Extend installer to set library paths for cuda and tensorrt * Add refresh of conda env * Remove invalid commands * Set the conda env according to operating system * Update for ROCm 6.2 * fix installer * Aktualisieren von installer.py * Add missing face selector keys * Try to keep original LD_LIBRARY_PATH * windows support installer * Final touch to the installer * Remove spaces * Simplidy collect_model_downloads() * Fix force download for once and forever * Housekeeping (#715) * changes * changes * changes * Fix performance part1 * Fix mixed states (#689) * Fix mixed states * Add missing sync for job args * Move UnionStateXXX to base typing * Undo * Remove UnionStateXXX * Fix app context performance lookup (#717) * Restore performance for inswapper * Mover upper() to the logger * Undo debugging * Move TensorRT installation to docs * Sort out log level typing, Add log level UI dropdown (#719) * Fix inference pool part1 * Validate conda library paths existence * Default face selector order to large-small * Fix inference pool context according to execution provider (#720) * Fix app context under Windows * CUDA and TensorRT update for the installer * Remove concept of static processor modules * Revert false commit * Change event order makes a difference * Fix multi model context in inference pool (#721) * Fix multi model context in inference pool * Fix multi model context in inference pool part2 * Use latest gradio to avoid fastapi bug * Rework on the Windows Installer * Use embedding converter (#724) * changes (#723) * Upload models to official assets repo --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Rework on the Windows Installer part2 * Resolve subprocess calls (#726) * Experiment * Resolve subprocess calls to cover edge cases like broken PATH * Adjust wording * Simplify code * Rework on the Windows Installer part3 * Rework on the Windows Installer part4 * Numpy fix for older onnxruntime * changes (#729) * Add space * Add MacOS installer * Use favicon * Fix disabled logger * Layout polishing (#731) * Update dependencies, Adjust many face landmarker logic * Cosmetics changes * Should be button * Introduce randomized action button * Fix update of lip syncer and expression restorer * Stop sharing inference session this prevents flushing VRAM * Fix test * Fix urls * Prepare release * Vanish inquirer * Sticky preview does not work on portrait images * Sticky preview only for landscape images and videos * remove gradio tunnel env * Change wording and deeplinks * increase peppa landmark score offset * Change wording * Graceful exit install.py * Just adding a required * Cannot use the exit_helper * Rename our model * Change color of face-landmark-68/5 * Limit liveportrait (#739) * changes * changes * changes * Cleanup * Cleanup --------- Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * limit expression restorer * change expression restorer 0-100 range * Use 256x icon * changes * changes * changes * changes * Limit face editor rotation (#745) * changes (#743) * Finish euler methods --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Use different coveralls badge * Move about wording * Shorten scope in the logger * changes * changes * Shorten scope in the logger * fix typo * Simplify the arcface converter names * Update preview --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com>
This commit is contained in:
Henry Ruhs
@@ -1,17 +1,18 @@
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from typing import Optional, Tuple
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import gradio
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import facefusion.globals
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import facefusion.choices
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from facefusion import wording
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from facefusion.typing import OutputVideoEncoder, OutputVideoPreset, Fps
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from facefusion import state_manager, wording
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from facefusion.common_helper import calc_int_step
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from facefusion.filesystem import is_image, is_video
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from facefusion.typing import Fps, OutputAudioEncoder, OutputVideoEncoder, OutputVideoPreset
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from facefusion.uis.core import get_ui_components, register_ui_component
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from facefusion.vision import detect_image_resolution, create_image_resolutions, detect_video_fps, detect_video_resolution, create_video_resolutions, pack_resolution
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from facefusion.vision import create_image_resolutions, create_video_resolutions, detect_image_resolution, detect_video_fps, detect_video_resolution, pack_resolution
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OUTPUT_PATH_TEXTBOX : Optional[gradio.Textbox] = None
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OUTPUT_IMAGE_QUALITY_SLIDER : Optional[gradio.Slider] = None
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OUTPUT_IMAGE_RESOLUTION_DROPDOWN : Optional[gradio.Dropdown] = None
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OUTPUT_AUDIO_ENCODER_DROPDOWN : Optional[gradio.Dropdown] = None
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OUTPUT_VIDEO_ENCODER_DROPDOWN : Optional[gradio.Dropdown] = None
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OUTPUT_VIDEO_PRESET_DROPDOWN : Optional[gradio.Dropdown] = None
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OUTPUT_VIDEO_RESOLUTION_DROPDOWN : Optional[gradio.Dropdown] = None
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@@ -20,9 +21,9 @@ OUTPUT_VIDEO_FPS_SLIDER : Optional[gradio.Slider] = None
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def render() -> None:
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global OUTPUT_PATH_TEXTBOX
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global OUTPUT_IMAGE_QUALITY_SLIDER
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global OUTPUT_IMAGE_RESOLUTION_DROPDOWN
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global OUTPUT_AUDIO_ENCODER_DROPDOWN
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global OUTPUT_VIDEO_ENCODER_DROPDOWN
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global OUTPUT_VIDEO_PRESET_DROPDOWN
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global OUTPUT_VIDEO_RESOLUTION_DROPDOWN
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@@ -31,74 +32,73 @@ def render() -> None:
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output_image_resolutions = []
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output_video_resolutions = []
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if is_image(facefusion.globals.target_path):
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output_image_resolution = detect_image_resolution(facefusion.globals.target_path)
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if is_image(state_manager.get_item('target_path')):
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output_image_resolution = detect_image_resolution(state_manager.get_item('target_path'))
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output_image_resolutions = create_image_resolutions(output_image_resolution)
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if is_video(facefusion.globals.target_path):
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output_video_resolution = detect_video_resolution(facefusion.globals.target_path)
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if is_video(state_manager.get_item('target_path')):
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output_video_resolution = detect_video_resolution(state_manager.get_item('target_path'))
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output_video_resolutions = create_video_resolutions(output_video_resolution)
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facefusion.globals.output_path = facefusion.globals.output_path or '.'
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OUTPUT_PATH_TEXTBOX = gradio.Textbox(
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label = wording.get('uis.output_path_textbox'),
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value = facefusion.globals.output_path,
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max_lines = 1
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)
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OUTPUT_IMAGE_QUALITY_SLIDER = gradio.Slider(
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label = wording.get('uis.output_image_quality_slider'),
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value = facefusion.globals.output_image_quality,
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step = facefusion.choices.output_image_quality_range[1] - facefusion.choices.output_image_quality_range[0],
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value = state_manager.get_item('output_image_quality'),
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step = calc_int_step(facefusion.choices.output_image_quality_range),
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minimum = facefusion.choices.output_image_quality_range[0],
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maximum = facefusion.choices.output_image_quality_range[-1],
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visible = is_image(facefusion.globals.target_path)
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visible = is_image(state_manager.get_item('target_path'))
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)
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OUTPUT_IMAGE_RESOLUTION_DROPDOWN = gradio.Dropdown(
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label = wording.get('uis.output_image_resolution_dropdown'),
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choices = output_image_resolutions,
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value = facefusion.globals.output_image_resolution,
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visible = is_image(facefusion.globals.target_path)
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value = state_manager.get_item('output_image_resolution'),
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visible = is_image(state_manager.get_item('target_path'))
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)
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OUTPUT_AUDIO_ENCODER_DROPDOWN = gradio.Dropdown(
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label = wording.get('uis.output_audio_encoder_dropdown'),
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choices = facefusion.choices.output_audio_encoders,
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value = state_manager.get_item('output_audio_encoder'),
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visible = is_video(state_manager.get_item('target_path'))
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)
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OUTPUT_VIDEO_ENCODER_DROPDOWN = gradio.Dropdown(
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label = wording.get('uis.output_video_encoder_dropdown'),
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choices = facefusion.choices.output_video_encoders,
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value = facefusion.globals.output_video_encoder,
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visible = is_video(facefusion.globals.target_path)
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value = state_manager.get_item('output_video_encoder'),
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visible = is_video(state_manager.get_item('target_path'))
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)
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OUTPUT_VIDEO_PRESET_DROPDOWN = gradio.Dropdown(
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label = wording.get('uis.output_video_preset_dropdown'),
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choices = facefusion.choices.output_video_presets,
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value = facefusion.globals.output_video_preset,
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visible = is_video(facefusion.globals.target_path)
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value = state_manager.get_item('output_video_preset'),
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visible = is_video(state_manager.get_item('target_path'))
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)
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OUTPUT_VIDEO_QUALITY_SLIDER = gradio.Slider(
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label = wording.get('uis.output_video_quality_slider'),
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value = facefusion.globals.output_video_quality,
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step = facefusion.choices.output_video_quality_range[1] - facefusion.choices.output_video_quality_range[0],
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value = state_manager.get_item('output_video_quality'),
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step = calc_int_step(facefusion.choices.output_video_quality_range),
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minimum = facefusion.choices.output_video_quality_range[0],
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maximum = facefusion.choices.output_video_quality_range[-1],
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visible = is_video(facefusion.globals.target_path)
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visible = is_video(state_manager.get_item('target_path'))
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)
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OUTPUT_VIDEO_RESOLUTION_DROPDOWN = gradio.Dropdown(
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label = wording.get('uis.output_video_resolution_dropdown'),
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choices = output_video_resolutions,
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value = facefusion.globals.output_video_resolution,
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visible = is_video(facefusion.globals.target_path)
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value = state_manager.get_item('output_video_resolution'),
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visible = is_video(state_manager.get_item('target_path'))
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)
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OUTPUT_VIDEO_FPS_SLIDER = gradio.Slider(
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label = wording.get('uis.output_video_fps_slider'),
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value = facefusion.globals.output_video_fps,
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value = state_manager.get_item('output_video_fps'),
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step = 0.01,
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minimum = 1,
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maximum = 60,
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visible = is_video(facefusion.globals.target_path)
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visible = is_video(state_manager.get_item('target_path'))
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)
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register_ui_component('output_path_textbox', OUTPUT_PATH_TEXTBOX)
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register_ui_component('output_video_fps_slider', OUTPUT_VIDEO_FPS_SLIDER)
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def listen() -> None:
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OUTPUT_PATH_TEXTBOX.change(update_output_path, inputs = OUTPUT_PATH_TEXTBOX)
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OUTPUT_IMAGE_QUALITY_SLIDER.release(update_output_image_quality, inputs = OUTPUT_IMAGE_QUALITY_SLIDER)
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OUTPUT_IMAGE_RESOLUTION_DROPDOWN.change(update_output_image_resolution, inputs = OUTPUT_IMAGE_RESOLUTION_DROPDOWN)
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OUTPUT_AUDIO_ENCODER_DROPDOWN.change(update_output_audio_encoder, inputs = OUTPUT_AUDIO_ENCODER_DROPDOWN)
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OUTPUT_VIDEO_ENCODER_DROPDOWN.change(update_output_video_encoder, inputs = OUTPUT_VIDEO_ENCODER_DROPDOWN)
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OUTPUT_VIDEO_PRESET_DROPDOWN.change(update_output_video_preset, inputs = OUTPUT_VIDEO_PRESET_DROPDOWN)
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OUTPUT_VIDEO_QUALITY_SLIDER.release(update_output_video_quality, inputs = OUTPUT_VIDEO_QUALITY_SLIDER)
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@@ -111,51 +111,51 @@ def listen() -> None:
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'target_video'
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]):
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for method in [ 'upload', 'change', 'clear' ]:
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getattr(ui_component, method)(remote_update, outputs = [ OUTPUT_IMAGE_QUALITY_SLIDER, OUTPUT_IMAGE_RESOLUTION_DROPDOWN, OUTPUT_VIDEO_ENCODER_DROPDOWN, OUTPUT_VIDEO_PRESET_DROPDOWN, OUTPUT_VIDEO_QUALITY_SLIDER, OUTPUT_VIDEO_RESOLUTION_DROPDOWN, OUTPUT_VIDEO_FPS_SLIDER ])
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getattr(ui_component, method)(remote_update, outputs = [ OUTPUT_IMAGE_QUALITY_SLIDER, OUTPUT_IMAGE_RESOLUTION_DROPDOWN, OUTPUT_AUDIO_ENCODER_DROPDOWN, OUTPUT_VIDEO_ENCODER_DROPDOWN, OUTPUT_VIDEO_PRESET_DROPDOWN, OUTPUT_VIDEO_QUALITY_SLIDER, OUTPUT_VIDEO_RESOLUTION_DROPDOWN, OUTPUT_VIDEO_FPS_SLIDER ])
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def remote_update() -> Tuple[gradio.Slider, gradio.Dropdown, gradio.Dropdown, gradio.Dropdown, gradio.Slider, gradio.Dropdown, gradio.Slider]:
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if is_image(facefusion.globals.target_path):
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output_image_resolution = detect_image_resolution(facefusion.globals.target_path)
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def remote_update() -> Tuple[gradio.Slider, gradio.Dropdown, gradio.Dropdown, gradio.Dropdown, gradio.Dropdown, gradio.Slider, gradio.Dropdown, gradio.Slider]:
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if is_image(state_manager.get_item('target_path')):
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output_image_resolution = detect_image_resolution(state_manager.get_item('target_path'))
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output_image_resolutions = create_image_resolutions(output_image_resolution)
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facefusion.globals.output_image_resolution = pack_resolution(output_image_resolution)
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return gradio.Slider(visible = True), gradio.Dropdown(visible = True, value = facefusion.globals.output_image_resolution, choices = output_image_resolutions), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False), gradio.Slider(visible = False), gradio.Dropdown(visible = False, value = None, choices = None), gradio.Slider(visible = False, value = None)
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if is_video(facefusion.globals.target_path):
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output_video_resolution = detect_video_resolution(facefusion.globals.target_path)
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state_manager.set_item('output_image_resolution', pack_resolution(output_image_resolution))
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return gradio.Slider(visible = True), gradio.Dropdown(value = state_manager.get_item('output_image_resolution'), choices = output_image_resolutions, visible = True), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False), gradio.Slider(visible = False), gradio.Dropdown(visible = False), gradio.Slider(visible = False)
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if is_video(state_manager.get_item('target_path')):
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output_video_resolution = detect_video_resolution(state_manager.get_item('target_path'))
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output_video_resolutions = create_video_resolutions(output_video_resolution)
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facefusion.globals.output_video_resolution = pack_resolution(output_video_resolution)
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facefusion.globals.output_video_fps = detect_video_fps(facefusion.globals.target_path)
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return gradio.Slider(visible = False), gradio.Dropdown(visible = False), gradio.Dropdown(visible = True), gradio.Dropdown(visible = True), gradio.Slider(visible = True), gradio.Dropdown(visible = True, value = facefusion.globals.output_video_resolution, choices = output_video_resolutions), gradio.Slider(visible = True, value = facefusion.globals.output_video_fps)
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return gradio.Slider(visible = False), gradio.Dropdown(visible = False, value = None, choices = None), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False), gradio.Slider(visible = False), gradio.Dropdown(visible = False, value = None, choices = None), gradio.Slider(visible = False, value = None)
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state_manager.set_item('output_video_resolution', pack_resolution(output_video_resolution))
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state_manager.set_item('output_video_fps', detect_video_fps(state_manager.get_item('target_path')))
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return gradio.Slider(visible = False), gradio.Dropdown(visible = False), gradio.Dropdown(visible = True), gradio.Dropdown(visible = True), gradio.Dropdown(visible = True), gradio.Slider(visible = True), gradio.Dropdown(value = state_manager.get_item('output_video_resolution'), choices = output_video_resolutions, visible = True), gradio.Slider(value = state_manager.get_item('output_video_fps'), visible = True)
|
||||
return gradio.Slider(visible = False), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False), gradio.Dropdown(visible = False), gradio.Slider(visible = False), gradio.Dropdown(visible = False), gradio.Slider(visible = False)
|
||||
|
||||
|
||||
def update_output_path(output_path : str) -> None:
|
||||
facefusion.globals.output_path = output_path
|
||||
|
||||
|
||||
def update_output_image_quality(output_image_quality : int) -> None:
|
||||
facefusion.globals.output_image_quality = output_image_quality
|
||||
def update_output_image_quality(output_image_quality : float) -> None:
|
||||
state_manager.set_item('output_image_quality', int(output_image_quality))
|
||||
|
||||
|
||||
def update_output_image_resolution(output_image_resolution : str) -> None:
|
||||
facefusion.globals.output_image_resolution = output_image_resolution
|
||||
state_manager.set_item('output_image_resolution', output_image_resolution)
|
||||
|
||||
|
||||
def update_output_video_encoder(output_video_encoder: OutputVideoEncoder) -> None:
|
||||
facefusion.globals.output_video_encoder = output_video_encoder
|
||||
def update_output_audio_encoder(output_audio_encoder : OutputAudioEncoder) -> None:
|
||||
state_manager.set_item('output_audio_encoder', output_audio_encoder)
|
||||
|
||||
|
||||
def update_output_video_encoder(output_video_encoder : OutputVideoEncoder) -> None:
|
||||
state_manager.set_item('output_video_encoder', output_video_encoder)
|
||||
|
||||
|
||||
def update_output_video_preset(output_video_preset : OutputVideoPreset) -> None:
|
||||
facefusion.globals.output_video_preset = output_video_preset
|
||||
state_manager.set_item('output_video_preset', output_video_preset)
|
||||
|
||||
|
||||
def update_output_video_quality(output_video_quality : int) -> None:
|
||||
facefusion.globals.output_video_quality = output_video_quality
|
||||
def update_output_video_quality(output_video_quality : float) -> None:
|
||||
state_manager.set_item('output_video_quality', int(output_video_quality))
|
||||
|
||||
|
||||
def update_output_video_resolution(output_video_resolution : str) -> None:
|
||||
facefusion.globals.output_video_resolution = output_video_resolution
|
||||
state_manager.set_item('output_video_resolution', output_video_resolution)
|
||||
|
||||
|
||||
def update_output_video_fps(output_video_fps : Fps) -> None:
|
||||
facefusion.globals.output_video_fps = output_video_fps
|
||||
state_manager.set_item('output_video_fps', output_video_fps)
|
||||
|
||||
Reference in New Issue
Block a user