Make model prefetching automatic in install/run scripts
install-local-gpu.sh and bring-up-local-gpu.sh now call prefetch-models.sh --sdxl (host-side download, all models including SDXL/inpaint, ~13GB) automatically rather than treating it as a manual DNS-troubleshooting step. install-local-gpu.sh drops back to the invoking user via sudo -u "$SUDO_USER" -H before running it, since that script itself runs as root and would otherwise leave downloaded files root-owned. Both call sites are non-fatal: a prefetch failure logs a warning and the container still starts, falling back to its own in-container download attempt. Updated README to match.
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@@ -11,7 +11,7 @@ git clone https://github.com/outis1one/editmaskwithai
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cd editmaskwithai
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# One-time setup: installs nvidia-container-toolkit, configures Docker,
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# and sets up a permanent DNS fix so the container can download models.
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# sets up a permanent DNS fix, and prefetches all AI models on the host.
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chmod +x install-local-gpu.sh
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./install-local-gpu.sh
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@@ -22,7 +22,7 @@ chmod +x bring-up-local-gpu.sh
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Open **http://localhost:3080**
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**First startup downloads the AI model for your GPU (~13 GB, one time).** Models are cached in `./data/hf_cache/` and survive rebuilds.
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**Models (~13 GB total, one time) download automatically on the host**, outside Docker — both scripts call `./prefetch-models.sh` for you, since in-container DNS is unreliable on some hosts. They're cached in `./data/hf_cache/` and `./data/models/`, and survive rebuilds.
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---
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@@ -163,7 +163,7 @@ EditmaskwithAI/
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├── Dockerfile.gpu
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├── install-local-gpu.sh # One-time GPU host setup
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├── bring-up-local-gpu.sh # Start/stop the GPU container
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├── prefetch-models.sh # Download AI models on the host (DNS-blocked workaround)
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├── prefetch-models.sh # Download AI models on the host (called automatically; also runnable standalone)
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└── .env.example
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```
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@@ -232,7 +232,7 @@ You can also pick a specific model per-edit from the Remove Background dialog's
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**AI models not downloading (container DNS blocked)**
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Easiest fix: download the models on the host instead of inside the container — they land in `./data/`, which is already bind-mounted into the container, so it picks them up with no rebuild:
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`install-local-gpu.sh` and `bring-up-local-gpu.sh` already run this for you automatically on every start, so you normally don't need to think about it. If a model still didn't download (no network at the time, etc.), re-run it manually — it lands in `./data/`, which is already bind-mounted into the container, so it's picked up with no rebuild:
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```bash
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./prefetch-models.sh # SAM + U2Net + BEN2 + BiRefNet-HR (~1.5GB)
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