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AssetGenerateThumbnails fails with SIGSEGV when generating thumbnails from iPhone HEVC MOV #27394
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Description
I have searched the existing issues, both open and closed, to make sure this is not a duplicate report.
- Yes
The bug
When uploading a HEVC-encoded MOV video captured by iPhone 13 Pro Max, the automatic background task AssetGenerateThumbnails fails. The ffmpeg process is killed with signal SIGSEGV (segmentation fault) during thumbnail generation, resulting in a failed job and missing video thumbnails.
The OS that Immich Server is running on
CentOS Linux release 7.9.2009 (Core)
Version of Immich Server
v2.6.3
Version of Immich Mobile App
v2.6.3
Platform with the issue
- Server
- Web
- Mobile
Device make and model
iPhone 13 ProMax
Your docker-compose.yml content
#
# WARNING: To install Immich, follow our guide: https://docs.immich.app/install/docker-compose
#
# Make sure to use the docker-compose.yml of the current release:
#
# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
#
# The compose file on main may not be compatible with the latest release.
name: immich
services:
immich-server:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
#extends:
#file: hwaccel.transcoding.yml
#service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
volumes:
# Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
- ${UPLOAD_LOCATION}:/data
- /etc/localtime:/etc/localtime:ro
env_file:
- .env
ports:
- '2283:2283'
depends_on:
- redis
- database
restart: always
healthcheck:
disable: false
immich-machine-learning:
container_name: immich_machine_learning
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-cuda
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities:
- gpu
volumes:
- model-cache:/cache
env_file:
- .env
restart: always
redis:
container_name: immich_redis
image: docker.io/valkey/valkey:9@sha256:fb8d272e529ea567b9bf1302245796f21a2672b8368ca3fcb938ac334e613c8f
healthcheck:
test: redis-cli ping || exit 1
restart: always
database:
container_name: immich_postgres
image: ghcr.io/immich-app/postgres:14-vectorchord0.4.3-pgvectors0.2.0@sha256:bcf63357191b76a916ae5eb93464d65c07511da41e3bf7a8416db519b40b1c23
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
# Uncomment the DB_STORAGE_TYPE: 'HDD' var if your database isn't stored on SSDs
# DB_STORAGE_TYPE: 'HDD'
volumes:
# Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
shm_size: 511mb
restart: always
volumes:
model-cache:Your .env content
# You can find documentation for all the supported env variables at https://docs.immich.app/install/environment-variables
# The location where your uploaded files are stored
UPLOAD_LOCATION=/Immich_file
# The location where your database files are stored. Network shares are not supported for the database
DB_DATA_LOCATION=./postgres
# To set a timezone, uncomment the next line and change Etc/UTC to a TZ identifier from this list: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
# TZ=Etc/UTC
# The Immich version to use. You can pin this to a specific version like "v2.1.0"
IMMICH_VERSION=v2.6.3
# Connection secret for postgres. You should change it to a random password
# Please use only the characters `A-Za-z0-9`, without special characters or spaces
DB_PASSWORD=postgres
# The values below this line do not need to be changed
###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich
TZ=Asia/ShanghaiReproduction steps
1.Upload a .MOV video file recorded by iPhone 13 Pro Max (HEVC / hvc1 codec);
2.Wait for the microservice job AssetGenerateThumbnails to start automatically;
3.The job throws an error and aborts during ffmpeg processing.
ERROR [Microservices:...] Unable to run job handler (AssetGenerateThumbnails): Error: ffmpeg was killed with signal SIGSEGV
Relevant log output
[Nest] 7 - 03/30/2026, 5:38:10 PM ERROR [Microservices:{"source":"upload","id":"5ba01949-c3bc-4296-9152-5ac362e54112"}] Unable to run job handler (AssetGenerateThumbnails): Error: ffmpeg was killed with signal SIGSEGV
Error: ffmpeg was killed with signal SIGSEGV
at ChildProcess.<anonymous> (/usr/src/app/server/node_modules/.pnpm/fluent-ffmpeg@2.1.3/node_modules/fluent-ffmpeg/lib/processor.js:178:22)
at ChildProcess.emit (node:events:508:28)
at ChildProcess._handle.onexit (node:internal/child_process:294:12)
[Nest] 7 - 03/30/2026, 5:38:11 PM LOG [Microservices:MediaService] Transcoding video d13f9e08-bf8e-481f-b7ca-77d0f3e36217 without hardware acceleration
[Nest] 7 - 03/30/2026, 5:38:11 PM LOG [Microservices:MediaService] Successfully encoded d13f9e08-bf8e-481f-b7ca-77d0f3e36217
[Nest] 7 - 03/30/2026, 5:38:11 PM LOG [Microservices:PersonService] Detected 1 new faces in asset d13f9e08-bf8e-481f-b7ca-77d0f3e36217
[Nest] 7 - 03/30/2026, 5:38:13 PM LOG [Microservices:MediaService] Transcoding video 48058753-05f1-46d6-be96-779d2fc99f84 without hardware acceleration
[Nest] 7 - 03/30/2026, 5:38:14 PM LOG [Microservices:MediaService] Successfully encoded 48058753-05f1-46d6-be96-779d2fc99f84
[Nest] 7 - 03/30/2026, 5:38:14 PM LOG [Microservices:MediaService] Transcoding video c21c7c80-3a0b-4e95-8fb5-d561f1e1a763 without hardware acceleration
[Nest] 38 - 03/30/2026, 5:38:14 PM LOG [Api:WebsocketRepository] Websocket Disconnect: H2XmBTzt5nV4LkoDAAAX
[Nest] 7 - 03/30/2026, 5:38:15 PM LOG [Microservices:MediaService] Successfully encoded c21c7c80-3a0b-4e95-8fb5-d561f1e1a763
[Nest] 7 - 03/30/2026, 5:38:15 PM ERROR [Microservices:MediaRepository] ffmpeg version 7.1.3-Jellyfin Copyright (c) 2000-2025 the FFmpeg developers
built with gcc 14 (Debian 14.2.0-19)
configuration: --prefix=/usr/lib/jellyfin-ffmpeg --target-os=linux --extra-version=Jellyfin --disable-doc --disable-ffplay --disable-static --disable-libxcb --disable-sdl2 --disable-xlib --enable-lto=auto --enable-gpl --enable-version3 --enable-shared --enable-gmp --enable-gnutls --enable-chromaprint --enable-opencl --enable-libdrm --enable-libxml2 --enable-libass --enable-libfreetype --enable-libfribidi --enable-libfontconfig --enable-libharfbuzz --enable-libbluray --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-libopenmpt --enable-libdav1d --enable-libsvtav1 --enable-libwebp --enable-libvpx --enable-libx264 --enable-libx265 --enable-libzvbi --enable-libzimg --enable-libfdk-aac --arch=amd64 --enable-libshaderc --enable-libplacebo --enable-vulkan --enable-vaapi --enable-amf --enable-libvpl --enable-ffnvcodec --enable-cuda --enable-cuda-llvm --enable-cuvid --enable-nvdec --enable-nvenc
libavutil 59. 39.100 / 59. 39.100
libavcodec 61. 19.101 / 61. 19.101
libavformat 61. 7.100 / 61. 7.100
libavdevice 61. 3.100 / 61. 3.100
libavfilter 10. 4.100 / 10. 4.100
libswscale 8. 3.100 / 8. 3.100
libswresample 5. 3.100 / 5. 3.100
libpostproc 58. 3.100 / 58. 3.100
[aist#0:1/pcm_s16le @ 0x55a5a27e24c0] Guessed Channel Layout: mono
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/data/upload/bcb98309-dca4-4d85-8cc9-c80d20212ee3/3f/8f/3f8fb7fb-02ad-4816-88d4-4d0c32c7b628.MOV':
Metadata:
major_brand : qt
minor_version : 0
compatible_brands: qt
creation_time : 2023-05-13T09:20:27.000000Z
com.apple.quicktime.location.accuracy.horizontal: 7.726043
com.apple.quicktime.live-photo.auto: 1
com.apple.quicktime.content.identifier: C6271053-D7D1-4BE3-8A80-D68E17EF5E81
com.apple.quicktime.live-photo.vitality-score: 0.939811
com.apple.quicktime.live-photo.vitality-scoring-version: 0
com.apple.quicktime.location.ISO6709: +40.1465+116.4059+037.432/
com.apple.quicktime.make: Apple
com.apple.quicktime.model: iPhone 13 Pro Max
com.apple.quicktime.software: 16.3.1
com.apple.quicktime.creationdate: 2023-05-13T17:20:27+0800
Duration: 00:00:02.03, start: 0.000000, bitrate: 12636 kb/s
Stream #0:0[0x1](und): Video: hevc (Main), 1 reference frame (hvc1 / 0x31637668), yuvj420p(pc, smpte170m/smpte432/bt709, left), 1920x1440, 11840 kb/s, 28.52 fps, 30 tbr, 600 tbn (default)
Metadata:
creation_time : 2023-05-13T09:20:27.000000Z
handler_name : Core Media Video
vendor_id : [0][0][0][0]
encoder : HEVC
Side data:
Frame cropping: 88/88/66/66
Stream #0:1[0x2](und): Audio: pcm_s16le (lpcm / 0x6D63706C), 44100 Hz, mono, s16, 705 kb/s (default)
Metadata:
creation_time : 2023-05-13T09:20:27.000000Z
handler_name : Core Media Audio
vendor_id : [0][0][0][0]
Stream #0:2[0x3](und): Data: none (mebx / 0x7862656D), 0 kb/s (default)
Metadata:
creation_time : 2023-05-13T09:20:27.000000Z
handler_name : Core Media Metadata
Stream #0:3[0x4](und): Data: none (mebx / 0x7862656D), 32 kb/s (default)
Metadata:
creation_time : 2023-05-13T09:20:27.000000Z
handler_name : Core Media Metadata
Stream #0:4[0x5](und): Data: none (mebx / 0x7862656D), 504 kb/s (default)
Metadata:
creation_time : 2023-05-13T09:20:27.000000Z
handler_name : Core Media Metadata
[out#0/image2 @ 0x55a5a280e080] No explicit maps, mapping streams automatically...
[vost#0:0/mjpeg @ 0x55a5a28050c0] Created video stream from input stream 0:0
[Parsed_thumbnail_1 @ 0x55a5a27e12c0] batch size: 12 frames
[Parsed_fps_0 @ 0x55a5a280e180] 0 frames in, 0 frames out; 0 frames dropped, 0 frames duplicated.
Stream mapping:
Stream #0:0 -> #0:0 (hevc (native) -> mjpeg (native))
[vost#0:0/mjpeg @ 0x55a5a28050c0] Starting thread...
[vf#0:0 @ 0x55a5a27ef880] Starting thread...
[vist#0:0/hevc @ 0x55a5a27e2340] [dec:hevc @ 0x55a5a280cf80] Starting thread...
[in#0/mov,mp4,m4a,3gp,3g2,mj2 @ 0x55a5a27dcd80] Starting thread...
Press [q] to stop, [?] for help
[Parsed_thumbnail_1 @ 0x7f0e38001200] batch size: 12 frames
[graph -1 input from stream 0:0 @ 0x7f0e38010b00] w:1920 h:1440 pixfmt:yuvj420p tb:1/600 fr:30/1 sar:0/1 csp:smpte170m range:pc
[crop @ 0x7f0e380112c0] w:1920 h:1440 sar:0/1 -> w:1744 h:1308 sar:0/1
[Parsed_fps_0 @ 0x7f0e38001300] Set first pts to (in:0 out:0) from start time 0.000000
[Parsed_fps_0 @ 0x7f0e38001300] fps=12/1
[graph -1 input from stream 0:0 @ 0x7f0e38010b00] video frame properties congruent with link at pts_time: 0
[in#0/mov,mp4,m4a,3gp,3g2,mj2 @ 0x55a5a27dcd80] EOF while reading input
[in#0/mov,mp4,m4a,3gp,3g2,mj2 @ 0x55a5a27dcd80] Terminating thread with return code 0 (success)
[vist#0:0/hevc @ 0x55a5a27e2340] [dec:hevc @ 0x55a5a280cf80] Decoder thread received EOF packet
[vist#0:0/hevc @ 0x55a5a27e2340] [dec:hevc @ 0x55a5a280cf80] Decoder returned EOF, finishing
[Parsed_thumbnail_1 @ 0x7f0e38001200] frame id #0 (pts_time=0.000000) selected from a set of 12 images
[vist#0:0/hevc @ 0x55a5a27e2340] [dec:hevc @ 0x55a5a280cf80] Terminating thread with return code 0 (success)
[Parsed_thumbnail_1 @ 0x7f0e38001200] frame id #2 (pts_time=1.166667) selected from a set of 6 images
[Nest] 7 - 03/30/2026, 5:38:15 PM ERROR [Microservices:{"source":"upload","id":"8f142615-77a5-468b-9468-0aa140951690"}] Unable to run job handler (AssetGenerateThumbnails): Error: ffmpeg was killed with signal SIGSEGV
Error: ffmpeg was killed with signal SIGSEGV
at ChildProcess.<anonymous> (/usr/src/app/server/node_modules/.pnpm/fluent-ffmpeg@2.1.3/node_modules/fluent-ffmpeg/lib/processor.js:178:22)
at ChildProcess.emit (node:events:508:28)
at ChildProcess._handle.onexit (node:internal/child_process:294:12)
[Nest] 7 - 03/30/2026, 5:38:15 PM LOG [Microservices:PersonService] Detected 2 new faces in asset dfe265c6-795b-47c3-a69a-c4f60267a87b
[Nest] 38 - 03/30/2026, 5:40:28 PM LOG [Api:SystemConfigService~vnztx85q] LogLevel=log (set via system config)
[Nest] 7 - 03/30/2026, 5:40:28 PM LOG [Microservices:SystemConfigService] LogLevel=log (set via system config)Additional information
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