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Merge branch 'master' into v4

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Resolve 57 conflicts keeping v4's architecture (UI removal, api app
context, path isolation, streaming/codecs/rtc, workflow-mode superset,
args_helper) and taking master's post-fork features so none are dropped:
inference override/adjust provider hooks (+ face_swapper 3.8.1 coreml
fix), is_vision_frame validity guards, resolve_temp_frame_set frame
numbering with the source audio/voice trim offset, the ffmpeg color
pipeline (restrict_color_transfer / convert_color_space / temp_pixel_format),
ffprobe select_stream v:0 + format duration, pre_check ffprobe with
dependency_not_installed, onnxruntime arena-leak guard + version lru_cache,
installer cuda@12/@13 provider split, workflow_strategy disk/memory
(memory default), and the dependency version bumps. content_analyser hash
guard rehashed to 3c6ce25e.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01V7MdZEmd1GE8uSDTMyq34r
This commit is contained in:
henryruhs
2026-08-05 22:12:54 +02:00
co-authored by Claude Opus 4.8
parent 11bbc89a0e 6f5e4b9d91
commit be89f03b27
50 changed files with 1032 additions and 302 deletions
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facefusion/apis/stream_manager.py
+3 -1
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@@ -14,13 +14,15 @@ from facefusion.apis.stream_audio import receive_audio_frames, run_audio_encode_
from facefusion.apis.stream_video import receive_video_frames, run_video_encode_loop
from facefusion.libraries import datachannel as datachannel_module
from facefusion.types import AudioCodec, AudioFrame, BufferPack, PeerConnection, RtcPeer, RtcPeerAudio, SdpAnswer, SdpOffer, SessionId, Time, VideoCodec, VisionFrame
from facefusion.vision import read_static_images
async def process_image(websocket : WebSocket) -> None:
capture_vision_frame = await anext(receive_vision_frames(websocket), None)
if numpy.any(capture_vision_frame):
output_vision_frame = streamer.process_stream_frame(capture_vision_frame)
source_vision_frames = read_static_images(state_manager.get_item('source_paths'))
output_vision_frame = streamer.process_stream_frame(source_vision_frames, capture_vision_frame)
is_success, output_frame_buffer = cv2.imencode('.jpg', output_vision_frame)
if is_success: