a6809c3ccb
* 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
27 lines
555 B
Python
27 lines
555 B
Python
from typing import 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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MAX_MEMORY_SLIDER : Optional[gradio.Slider] = None
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def render() -> None:
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global MAX_MEMORY_SLIDER
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MAX_MEMORY_SLIDER = gradio.Slider(
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label = wording.get('max_memory_slider_label'),
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step = 1,
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minimum = 0,
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maximum = 128
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)
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def listen() -> None:
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MAX_MEMORY_SLIDER.change(update_max_memory, inputs = MAX_MEMORY_SLIDER)
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def update_max_memory(max_memory : int) -> None:
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facefusion.globals.max_memory = max_memory if max_memory > 0 else None
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