facefusion/facefusion/uis/components/output_options.py
Henry Ruhs f6e56a3d8c
Next (#318)
* renaming and restructuring (#282)

* Renaming and restructuring

* Renaming and restructuring

* Renaming and restructuring

* Fix gender detection

* Implement distance to face debugger

* Implement distance to face debugger part2

* Implement distance to face debugger part3

* Mark as next

* Fix reference when face_debugger comes first

* Use official onnxruntime nightly

* CUDA on steroids

* CUDA on steroids

* Add some testing

* Set inswapper_128_fp16 as default

* Feat/block until post check (#292)

* Block until download is done

* Introduce post_check()

* Fix webcam

* Update dependencies

* Add --force-reinstall to installer

* Introduce config ini (#298)

* Introduce config ini

* Fix output video encoder

* Revert help listings back to commas, Move SSL hack to download.py

* Introduce output-video-preset which defaults to veryfast

* Mapping for nvenc encoders

* Rework on events and non-blocking UI

* Add fast bmp to temp_frame_formats

* Add fast bmp to temp_frame_formats

* Show total processing time on success

* Show total processing time on success

* Show total processing time on success

* Move are_images, is_image and is_video back to filesystem

* Fix some spacings

* Pissing everyone of by renaming stuff

* Fix seconds output

* feat/video output fps (#312)

* added output fps slider, removed 'keep fps' option (#311)

* added output fps slider, removed 'keep fps' option

* now uses passed fps instead of global fps for ffmpeg

* fps values are now floats instead of ints

* fix previous commit

* removed default value from fps slider

this is so we can implement a dynamic default value later

* Fix seconds output

* Some cleanup

---------

Co-authored-by: Ran Shaashua <47498956+ranshaa05@users.noreply.github.com>

* Allow 0.01 steps for fps

* Make fps unregulated

* Make fps unregulated

* Remove distance from face debugger again (does not work)

* Fix gender age

* Fix gender age

* Hotfix benchmark suite

* Warp face normalize (#313)

* use normalized kp templates

* Update face_helper.py

* My 50 cents to warp_face()

---------

Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>

* face-swapper-weight (#315)

* Move prepare_crop_frame and normalize_crop_frame out of apply_swap

* Fix UI bug with different range

* feat/output video resolution (#316)

* Introduce detect_video_resolution, Rename detect_fps to detect_video_fps

* Add calc_video_resolution_range

* Make output resolution work, does not auto-select yet

* Make output resolution work, does not auto-select yet

* Try to keep the origin resolution

* Split code into more fragments

* Add pack/unpack resolution

* Move video_template_sizes to choices

* Improve create_video_resolutions

* Reword benchmark suite

* Optimal speed for benchmark

* Introduce different video memory strategies, rename max_memory to max… (#317)

* Introduce different video memory strategies, rename max_memory to max_system_memory

* Update readme

* Fix limit_system_memory call

* Apply video_memory_strategy to face debugger

* Limit face swapper weight to 3.0

* Remove face swapper weight due bad render outputs

* Show/dide logic for output video preset

* fix uint8 conversion

* Fix whitespace

* Finalize layout and update preview

* Fix multi renders on face debugger

* Restore less restrictive rendering of preview and stream

* Fix block mode for model downloads

* Add testing

* Cosmetic changes

* Enforce valid fps and resolution via CLI

* Empty config

* Cosmetics on args processing

* Memory workover (#319)

* Cosmetics on args processing

* Fix for MacOS

* Rename all max_ to _limit

* More fixes

* Update preview

* Fix whitespace

---------

Co-authored-by: Ran Shaashua <47498956+ranshaa05@users.noreply.github.com>
Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
2024-01-19 19:57:48 +01:00

141 lines
6.8 KiB
Python

from typing import Optional, Tuple, List
import tempfile
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.typing import OutputVideoEncoder, OutputVideoPreset, Fps
from facefusion.filesystem import is_image, is_video
from facefusion.uis.typing import ComponentName
from facefusion.uis.core import get_ui_component, register_ui_component
from facefusion.vision import detect_video_fps, create_video_resolutions, detect_video_resolution, pack_resolution
OUTPUT_PATH_TEXTBOX : Optional[gradio.Textbox] = None
OUTPUT_IMAGE_QUALITY_SLIDER : Optional[gradio.Slider] = None
OUTPUT_VIDEO_ENCODER_DROPDOWN : Optional[gradio.Dropdown] = None
OUTPUT_VIDEO_PRESET_DROPDOWN : Optional[gradio.Dropdown] = None
OUTPUT_VIDEO_RESOLUTION_DROPDOWN : Optional[gradio.Dropdown] = None
OUTPUT_VIDEO_QUALITY_SLIDER : Optional[gradio.Slider] = None
OUTPUT_VIDEO_FPS_SLIDER : Optional[gradio.Slider] = None
def render() -> None:
global OUTPUT_PATH_TEXTBOX
global OUTPUT_IMAGE_QUALITY_SLIDER
global OUTPUT_VIDEO_ENCODER_DROPDOWN
global OUTPUT_VIDEO_PRESET_DROPDOWN
global OUTPUT_VIDEO_RESOLUTION_DROPDOWN
global OUTPUT_VIDEO_QUALITY_SLIDER
global OUTPUT_VIDEO_FPS_SLIDER
OUTPUT_PATH_TEXTBOX = gradio.Textbox(
label = wording.get('output_path_textbox_label'),
value = facefusion.globals.output_path or tempfile.gettempdir(),
max_lines = 1
)
OUTPUT_IMAGE_QUALITY_SLIDER = gradio.Slider(
label = wording.get('output_image_quality_slider_label'),
value = facefusion.globals.output_image_quality,
step = facefusion.choices.output_image_quality_range[1] - facefusion.choices.output_image_quality_range[0],
minimum = facefusion.choices.output_image_quality_range[0],
maximum = facefusion.choices.output_image_quality_range[-1],
visible = is_image(facefusion.globals.target_path)
)
OUTPUT_VIDEO_ENCODER_DROPDOWN = gradio.Dropdown(
label = wording.get('output_video_encoder_dropdown_label'),
choices = facefusion.choices.output_video_encoders,
value = facefusion.globals.output_video_encoder,
visible = is_video(facefusion.globals.target_path)
)
OUTPUT_VIDEO_PRESET_DROPDOWN = gradio.Dropdown(
label = wording.get('output_video_preset_dropdown_label'),
choices = facefusion.choices.output_video_presets,
value = facefusion.globals.output_video_preset,
visible = is_video(facefusion.globals.target_path)
)
OUTPUT_VIDEO_QUALITY_SLIDER = gradio.Slider(
label = wording.get('output_video_quality_slider_label'),
value = facefusion.globals.output_video_quality,
step = facefusion.choices.output_video_quality_range[1] - facefusion.choices.output_video_quality_range[0],
minimum = facefusion.choices.output_video_quality_range[0],
maximum = facefusion.choices.output_video_quality_range[-1],
visible = is_video(facefusion.globals.target_path)
)
OUTPUT_VIDEO_RESOLUTION_DROPDOWN = gradio.Dropdown(
label = wording.get('output_video_resolution_dropdown_label'),
choices = create_video_resolutions(facefusion.globals.target_path),
value = facefusion.globals.output_video_resolution,
visible = is_video(facefusion.globals.target_path)
)
OUTPUT_VIDEO_FPS_SLIDER = gradio.Slider(
label = wording.get('output_video_fps_slider_label'),
value = facefusion.globals.output_video_fps,
step = 0.01,
minimum = 1,
maximum = 60,
visible = is_video(facefusion.globals.target_path)
)
register_ui_component('output_path_textbox', OUTPUT_PATH_TEXTBOX)
def listen() -> None:
OUTPUT_PATH_TEXTBOX.change(update_output_path, inputs = OUTPUT_PATH_TEXTBOX)
OUTPUT_IMAGE_QUALITY_SLIDER.change(update_output_image_quality, inputs = OUTPUT_IMAGE_QUALITY_SLIDER)
OUTPUT_VIDEO_ENCODER_DROPDOWN.change(update_output_video_encoder, inputs = OUTPUT_VIDEO_ENCODER_DROPDOWN)
OUTPUT_VIDEO_PRESET_DROPDOWN.change(update_output_video_preset, inputs = OUTPUT_VIDEO_PRESET_DROPDOWN)
OUTPUT_VIDEO_QUALITY_SLIDER.change(update_output_video_quality, inputs = OUTPUT_VIDEO_QUALITY_SLIDER)
OUTPUT_VIDEO_RESOLUTION_DROPDOWN.change(update_output_video_resolution, inputs = OUTPUT_VIDEO_RESOLUTION_DROPDOWN)
OUTPUT_VIDEO_FPS_SLIDER.change(update_output_video_fps, inputs = OUTPUT_VIDEO_FPS_SLIDER)
multi_component_names : List[ComponentName] =\
[
'source_image',
'target_image',
'target_video'
]
for component_name in multi_component_names:
component = get_ui_component(component_name)
if component:
for method in [ 'upload', 'change', 'clear' ]:
getattr(component, method)(remote_update, outputs = [ OUTPUT_IMAGE_QUALITY_SLIDER, OUTPUT_VIDEO_ENCODER_DROPDOWN, OUTPUT_VIDEO_PRESET_DROPDOWN, OUTPUT_VIDEO_QUALITY_SLIDER, OUTPUT_VIDEO_RESOLUTION_DROPDOWN, OUTPUT_VIDEO_FPS_SLIDER ])
def remote_update() -> Tuple[gradio.Slider, gradio.Dropdown, gradio.Dropdown, gradio.Slider, gradio.Dropdown, gradio.Slider]:
if is_image(facefusion.globals.target_path):
return gradio.Slider(visible = True), 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)
if is_video(facefusion.globals.target_path):
target_video_resolution = detect_video_resolution(facefusion.globals.target_path)
output_video_resolution = pack_resolution(target_video_resolution)
output_video_resolutions = create_video_resolutions(facefusion.globals.target_path)
output_video_fps = detect_video_fps(facefusion.globals.target_path)
return gradio.Slider(visible = False), gradio.Dropdown(visible = True), gradio.Dropdown(visible = True), gradio.Slider(visible = True), gradio.Dropdown(visible = True, value = output_video_resolution, choices = output_video_resolutions), gradio.Slider(visible = True, value = output_video_fps)
return gradio.Slider(visible = False), 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)
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_video_encoder(output_video_encoder: OutputVideoEncoder) -> None:
facefusion.globals.output_video_encoder = output_video_encoder
def update_output_video_preset(output_video_preset : OutputVideoPreset) -> None:
facefusion.globals.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_resolution(output_video_resolution : str) -> None:
facefusion.globals.output_video_resolution = output_video_resolution
def update_output_video_fps(output_video_fps : Fps) -> None:
facefusion.globals.output_video_fps = output_video_fps