Changelog

2.6.0

• Introduce a standalone one-click installer for Windows

• Add the frame enhancer clear_reality_x4 and ultra_sharp_x4 model

• Load different ini files via the --config argument

• Introduce --open-browser to open browser once the program is ready

• Introduce --execution-device-id to select processing device

• Support for Intel Arc using the OpenVINO execution provider

• Prevent Gradio from converting videos larger than 512 MB in size

• Fix path issues on Windows related to special characters

• Fix issues when finalizing images using temporary files

2.5.3

• Disable Gradio Analytics to prevent version alerts

2.5.2

• Introduce dynamic frame colorizer sizes

• Validate facefusion.ini overrides to prevent crashes

• Remove GPU architecture lookup to support outdated nvidia-smi

• Remove hwaccel which surprisingly improves the FFmpeg performance

• Fix threading and preview crashes for DirectML

• Fix --output-video-resolution from not being applied

2.5.1

• Add missing deoldify models to the frame colorizer

• Fix over-correction by voice extractor on background audio

• Fix excessive VRAM consumption of the voice extractor

• Fix exception in conditional_download while model removal

• Fix stuck processing when using FFmpeg 7

2.5.0

• Introduce the frame colorizer using the ddcolor and deoldify model

• Extract voice from the audio to enhance the lip-syncer quality

• Experimental 5 to 68 face landmark estimation

• Add the face enhancer gpen_bfr_1024 and gpen_bfr_2048 model

• Add the frame enhancer real_esrgan_x2 and real_hatgan_x4 model

• Introduce --force-download to download every model at once

• Migrate the documentation and installer from venv to conda

• Full compatibility with CUDA 12 due inswapper_128_fp16 model fix

• Fix fps boosting and lowering during video merging

• Fix crashes when using --skip-download when models are absent

• Fix h264_nvenc and hevc_nvenc presets mapping

2.4.1

• Conditional download face analyser models

• Prevent download loop when remote is unreachable

• Dynamic concurrency_count for ideal Gradio performance

• Monkey patch Gradio for faster preview and stream rendering

• Fix preview for audio to image

2.4.0

• Run multiple face detectors simultaneously

• Prevent the 68 to 5 face landmark transformation on low confidence

• Add the high performance scrfd face detector model

• Gracefully start and stop processing

• Introduce ONNX powered frame enhancers

• Introduce --face-landmarker-score argument

• Render tabs when using multiple UI layouts

• Introduce --output-image-resolution argument

• Add more face debugger items and refine their color theme

• Print internal statistics when --log-level debug is enabled

• Keep lips over the whole video once lip syncer is enabled

• Restrict resolution upscaling and fps boosting for temporary resources

• Add support for h264_amf and hevc_amf video encoders

• Change the --output-path behaviour and normalization

• Remove --temp-frame-quality argument

• Fix green line when using a target with uneven pixels

• Fix preview of lip syncer when using --trim-frame-start

• Fix the blank output issue for Geforce GTX 16 series

2.3.0

• Introduce the lip-syncer frame processors using wave2lip

• Improve face alignment with 68 to 5 face landmark transformation

• Add face swapper model uniface_256

• Add yoloface as the default face detector model

• Clear temporary resources before processing

• Add age and gender to the face debugger items

• Update installer to version specific CUDA and ROCM entries

• Improve the description of the CLI arguments

• Enforce --output-video-resolution after upscaling

• Reduce terminal output noise while processing

2.2.1

• Replace restoreformer with the latest restoreformer_plus_plus model

• Fix error when the facefusion.ini file is missing a section

• Fix image to image when utilizing --video-memory-strategy tolerant

2.2.0

• Significant improve the CUDA performance

• Allow default overrides through the facefusion.ini file

• Enable faster inswapper_128_fp16 model as default

• Add --video-memory-strategy to trade VRAM usage for speed

• Add bmp to the --temp-frame-format argument

• Add compatibility with Pinokio 1.0.0

• Display the processing time in the terminal on success

• Introduce --output-video-preset which defaults to veryfast

• Introduce --output-video-fps argument

• Introduce --output-video-resolution argument

• Block the preview and webcam until models are fully downloaded

• Rename --max-memory to --system-memory-limit

• Fix gender detection due incorrect matrix transformation

• Fix render issues when toggling face debugger items repeatedly

2.1.3

• Fix installer option for directml under Windows

2.1.2

• Add CUDA nightly to the installer

• Refresh reference faces on frame processor change

• Fix rounding issues of number based CLI arguments

2.1.1

• Remove falsy clear reference faces in preview

2.1.0

• Add face occlusion masking

• Add face region masking with selectable regions

• Average source face from multiple images

• Multi processing aware reference faces

• Only process the reference with face enhancer

• Introduce debug, info, warn and error log levels

• Restore face alignment offset from retinaface

• Enforce virtual environment via installer

• Reduce the installer options according to platform

• Add onnxruntime-rocm support to installer

• Fix preview updates on slider release

• Fix preview updates on face reference change

• Fix similarity transformation for the face alignment

2.0.0

• Add blendswap_256, simswap_256 and simswap_512_unofficial to the face swapper

• Add gpen_bfr_256 and restoreformer to the face enhancer

• High performance face detector using the retinaface or yunet models

• Add ROCM and OpenVINNO support to the frame enhancers

• Add support for webp images and webm videos

• Add the best-worst and worst-best to --face-analyser-order

• Introduce the face_debugger to visualize the bounding box, key points and face mask

• Introduce the facefusion-pinokio repository to our GitHub organization

• Introduce --face-mask-blur and --face-mask-padding arguments

• Introduce --face-detector-size and --face-detector-score arguments

• Extend face selector by one mode

• Remove insightface dependency due handcrafted frame processing

• Remove tensorflow and PIL dependencies duo handcrafted frame analysing

• Simplify progress bar to reduce performance hits

• Improve reference face UI for large amount of people

• Webcam mode udp and v4l2 now with solid 25fps at 1080p

• Seamless start and stop the webcam feed

• Rename --face-recognition to --face-selector-mode

• Rename --face-analyser-direction to --face-analyser-order

• Fix output validation after processing

• Apply fixed ranges to number based CLI arguments

• Normalize the --reference-face-distance calculation to a 0-1 range

• Normalize the --output-path even without specified --source-path

• Set a 10 seconds timeout for download lookups

1.3.1

• Refine default and cpu choices for the installer

1.3.0

• Add high performance fp16 version to the face swapper

• Add ONNX powered CodeFormer, GFPGAN and GPEN to the face enhancer

• Add RealESRGAN_x2plus and RealESRNet_x4plus to the frame enhancer

• Implement blending for the face enhancer and frame enhancer

• Enable frame processors to have options and CLI arguments

• Refine the UI theme to a minimal and flat design

• Enhance the --help and documentation with arguments grouping

• Reduce the default image and video quality to 80 percent

• Introduce a new --torch argument to the installer

• Improve Apple Silicon performance using the latest onnxruntime

• Fix video quality to compression normalization

• Fix stuck downloads caused by the Windows firewall

1.2.1

• Perform VRAM clearance after each processing step

• Restrict TensorFlow memory consumption to 512 MB

• Verify the model files before frame processing

• Introduce --skip-download to skip automated downloads

• Upgrade to the most recent onnxruntime version

1.2.0

• Establish realtime webcam performance

• Optimize reruns by caching the face analyser results

• Optimize image read performance through caching

• Resume interrupted asset and model downloads

• Allow passing --onnxruntime to install.py

• Introduce official facefusion-colab repository

• Remove alignments from each UI components

• Introduce checkbox group for the settings

• Set webcam resolution and fps in the UI

• Disallow empty execution providers in the UI

• Fix frame range processing on videos with audio

• Fix CUDA and ROCM Dockerfile to utilize the GPU

• Fix sorting of temp frame paths

1.1.0

• Installer for common and acceleration dependencies

• Built-in webcam suite that supports udp and v4l2 streaming

• Dedicated --headless mode

• Add Docker support for ROCM

• Allow adjustment of --output-path via the UI

• Enhance output path normalization

• Single warm-up before starting the benchmark suite

• Ability to select runs for the benchmark suite

• Enable benchmarking with partial updates

• Implement a fully event-driven UI for super responsiveness

• Add a max memory slider to select free RAM

• Implement conditional UI based on target media type

• Introduce --output-image-quality option for image output

• Fix crf range for libvpx video encoder

• Fix detect_fps to work with different encoding

1.0.0

• Dynamic UI based on Gradio

• Docker support for CPU and CUDA

• Replace --many-faces by --face-recognition that takes reference and many value

• Twin support: swap multiple faces by one face reference

• Introduce --execution-queue-count to adjust processing per thread

• Rename --execution-threads to --execution-thread-count

• Global options direction, age and gender for face analyser

• Blur preview and processing hold when NSFW content has been detected

• Flip the quality best to worse from 0-100 to 100-0

• Trim video via trim-frame-start and trim-frame-end

• Built-in benchmark suite

• Intensive codebase refactoring