41 라인
1.7 KiB
INI
41 라인
1.7 KiB
INI
[Unit]
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Description=stable-diffusion.cpp (Vulkan, video generation)
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After=network-online.target
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Wants=network-online.target
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[Container]
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Image=localhost/sdcpp:vulkan-amd64
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ContainerName=sdcpp-vulkan
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# GPU access (Vulkan render node)
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AddDevice=/dev/dri/renderD128
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PodmanArgs=--group-add=keep-groups
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# Let the in-container watchdog read the kernel ring buffer to spot
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# amdgpu MES hangs early. Optional: comment out if you'd rather not
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# expose /dev/kmsg to the container.
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AddDevice=/dev/kmsg
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# Models (GGUF denoiser + text encoder + VAEs) and generated output.
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# Populate %h/sdcpp-models with the files from the model card before
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# starting a generation run.
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Volume=%h/sdcpp-models:/app/models:Z
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Volume=%h/sdcpp-output:/app/output:Z
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# This is meant to be run on-demand with specific --prompt / --output
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# arguments rather than as a long-running daemon, so Exec is left to
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# `podman start --attach` invocations with Exec= overrides, e.g.:
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# systemctl --user start sdcpp-vulkan
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# then attach and pass args via `podman exec` is not applicable for
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# one-shot CLI tools; prefer running with `podman run` directly for
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# ad-hoc generations, or set Exec below for a fixed recurring job.
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#Exec=--mode vid_gen --diffusion-model /app/models/minimax_h3_fl2va_pruned-Q4_K.gguf --llm /app/models/qwen3vl_32b_minimax_h3-Q4_K_M.gguf --vae /app/models/minimax_h3_video_vae_fp16.safetensors --audio-vae /app/models/minimax_h3_audio_vae_fp32.safetensors --prompt "a red fox trotting through falling snow, cinematic" --width 640 --height 384 --video-frames 25 --steps 4 --cfg-scale 1.0 --backend te=cpu --diffusion-fa --output /app/output/out.webm
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[Service]
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Type=oneshot
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RemainAfterExit=no
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TimeoutStartSec=1800
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[Install]
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WantedBy=default.target
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