* Improve typing for our callbacks * Return 0 for get_download_size * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Introduce ONNX powered face enhancer * Remove tile processing from frame enhancer * Fix video compress translation for libvpx-vp9 * Allow zero values for video compression * Develop (#134) * Introduce model options to the frame processors * Finish UI to select frame processors models * Simplify frame processors options * Fix lint in CI * Rename all kind of settings to options * Add blend to enhancers * Simplify webcam mode naming * Bypass SSL issues under Windows * Fix blend of frame enhancer * Massive CLI refactoring, Register and apply ARGS via the frame processors * Refine UI theme and introduce donate button * Update dependencies and fix cpu only torch * Update dependencies and fix cpu only torch * Fix theme, Fix frame_processors in headless mode * Remove useless astype * Disable CoreML for the ONNX face enhancer * Disable CoreML for the ONNX face enhancer * Predict webcam too * Improve resize of preview * Change output quality defaults, Move options to the right * Support for codeformer model * Update the typo * Add GPEN and GFPGAN 1.2 * Extract blend_frame methods * Extend the installer * Revert broken Gradio * Rework on ui components * Move output path selector to the output options * Remove tons of pointless component updates * Reset more base theme styling * Use latest Gradio * Fix the sliders * More styles * Update torch to 2.1.0 * Add RealESRNet_x4plus * Fix that button * Use latest onnxruntime-silicon * Looks stable to me * Lowercase model keys, Update preview and readme
41 lines
1.7 KiB
Python
41 lines
1.7 KiB
Python
from typing import List, Optional
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import gradio
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import facefusion.globals
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from facefusion import wording
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from facefusion.processors.frame.core import load_frame_processor_module, clear_frame_processors_modules
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from facefusion.utilities import list_module_names
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from facefusion.uis.core import register_ui_component
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FRAME_PROCESSORS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
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def render() -> None:
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global FRAME_PROCESSORS_CHECKBOX_GROUP
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FRAME_PROCESSORS_CHECKBOX_GROUP = gradio.CheckboxGroup(
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label = wording.get('frame_processors_checkbox_group_label'),
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choices = sort_frame_processors(facefusion.globals.frame_processors),
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value = facefusion.globals.frame_processors
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)
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register_ui_component('frame_processors_checkbox_group', FRAME_PROCESSORS_CHECKBOX_GROUP)
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def listen() -> None:
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FRAME_PROCESSORS_CHECKBOX_GROUP.change(update_frame_processors, inputs = FRAME_PROCESSORS_CHECKBOX_GROUP, outputs = FRAME_PROCESSORS_CHECKBOX_GROUP)
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def update_frame_processors(frame_processors : List[str]) -> gradio.CheckboxGroup:
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facefusion.globals.frame_processors = frame_processors
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clear_frame_processors_modules()
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for frame_processor in frame_processors:
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frame_processor_module = load_frame_processor_module(frame_processor)
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if not frame_processor_module.pre_check():
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return gradio.CheckboxGroup()
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return gradio.CheckboxGroup(value = frame_processors, choices = sort_frame_processors(frame_processors))
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def sort_frame_processors(frame_processors : List[str]) -> list[str]:
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available_frame_processors = list_module_names('facefusion/processors/frame/modules')
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return sorted(available_frame_processors, key = lambda frame_processor : frame_processors.index(frame_processor) if frame_processor in frame_processors else len(frame_processors))
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