Git LFS for Large Files: Binary Asset Management at Scale
Master Git Large File Storage for managing binaries, media, and datasets in Git repositories. Learn pointer files, migration strategies, and production patterns for large file workflows.
Git LFS solves the problem of versioning large binary files by replacing them in the repository with small pointer files while storing the actual content on a remote LFS server. When you clone or checkout, Git fetches the pointers and then downloads the real files on demand via a smudge filter. This workflow keeps repositories lightweight and clones fast, while maintaining full version history for design assets, videos, datasets, and compiled binaries. Setting up LFS requires initializing the extension, configuring tracked file patterns, and migrating existing repositories with git lfs migrate.
Introduction
Every developer hits the same wall eventually. You’ve got a repository full of images, videos, datasets — large binary files that Git wasn’t really built to handle. Your clone times stretch forever, your .git folder balloons to gigabytes, and every push feels like watching paint dry. It’s not that Git is broken; it’s just not the right tool for everything. Source code compresses beautifully and lives happily in Git. Large media files? They deserve better.
Git LFS fixes this by swapping those bulky files out for tiny pointer references that Git can manage effortlessly, while the actual content lives on a remote server. Your history stays clean, your clones stay fast, and you can finally version control those design files, game assets, and ML datasets without pulling your hair out. This guide walks through how LFS works, how to set it up, migrate existing repos, and use it reliably in production.
When to Use / When Not to Use
Use Git LFS when:
- Your repository contains files larger than 10MB
- You version binary assets (images, videos, audio, 3D models)
- You manage datasets or compiled artifacts
- Your clone/push times are dominated by large files
- You need to track specific file types across the repository
Avoid Git LFS when:
- All files are small text files (< 1MB)
- You can use external storage (S3, CDN) instead
- Your Git hosting doesn’t support LFS
- You need to search or diff file contents (LFS files are opaque blobs)
- You’re storing files that change frequently (LFS bandwidth costs add up)
Core Concepts
Git LFS works by replacing large files with pointer files:
flowchart TD
A[Large File<br/>image.png 50MB] --> B[Git LFS Filter]
B --> C[Pointer File<br/>128 bytes]
C --> D[Git Repository<br/>Lightweight]
B --> E[LFS Server<br/>Actual file stored]
F[git clone] --> G[Download pointers]
G --> H[Checkout triggers]
H --> I[Download actual files<br/>from LFS server]
I --> J[Working directory<br/>with real files]
Architecture and Flow Diagram
sequenceDiagram
participant Dev as Developer
participant Git as Git CLI
participant LFS as Git LFS
pointer as Pointer File
participant LFSRemote as LFS Server
participant GitRemote as Git Remote
Dev->>Git: git add large-file.bin
Git->>LFS: Smudge filter detects LFS file
LFS->>LFS: Generate SHA256 hash
LFS->>pointer: Create pointer file
LFS->>LFSRemote: Upload actual file
LFS->>Git: Stage pointer file
Git->>GitRemote: Push pointer (small)
Dev->>Git: git clone
Git->>GitRemote: Download pointers
Git->>LFS: Checkout triggers smudge
LFS->>LFSRemote: Download actual files
LFSRemote-->>LFS: Large file content
LFS->>Dev: Working directory with real files
Step-by-Step Guide
1. Install Git LFS
# macOS
brew install git-lfs
# Ubuntu/Debian
sudo apt install git-lfs
# Windows
# Download from git-lfs.github.com
# Initialize (run once per user)
git lfs install
2. Verify LFS Installation
# Verify Git LFS is installed and working
git lfs version
# Check LFS filters are registered
git lfs install --force
# Verify LFS smudge/clean filters are active
git config --list | grep lfs
3. Configure LFS Tracking
Git LFS tracking works through Git’s smudge and clean filter infrastructure. When you tell LFS to track a file pattern, it registers these filters in .gitattributes — a file that Git reads to apply special handling to matching files. The clean filter intercepts files as they are staged, redirects the actual content to the LFS server, and replaces it with a lightweight pointer. The smudge filter does the reverse during checkout, downloading the real content and placing it in your working directory.
The tracking configuration lives in .gitattributes, which should always be committed to the repository. This is how every team member automatically gets the same LFS rules. Without .gitattributes in the repository, each developer would need to configure LFS tracking manually.
There are three common strategies for deciding what to track:
- By file extension — track all
*.psdor*.pngfiles so any file of that type automatically uses LFS. - By directory path — useful when large files live in specific directories like
datasets/ormodels/but other files with the same extension in different directories should stay in Git. - By individual file — for case-by-case control when you have specific large files but don’t want to blanket-track an entire type.
Start with a conservative set of patterns and expand as needed. Tracking too many file types adds LFS overhead to files that may never be large, while tracking too few risks accidentally committing a big binary directly into Git history.
3.1 Set Up Tracking Patterns
Before tracking files, decide which patterns to use. Common strategies:
- Track by extension:
*.psd,*.png,*.mp4 - Track by directory:
datasets/*.csv,models/*.bin - Track specific files:
models/model-v1.bin
3.2 Track File Types
# Track specific file types
git lfs track "*.psd"
git lfs track "*.png"
git lfs track "*.mp4"
git lfs track "datasets/*.csv"
# Track specific large files
git lfs track "models/model-v1.bin"
# View tracked patterns
git lfs track
# This creates/updates .gitattributes
cat .gitattributes
# *.psd filter=lfs diff=lfs merge=lfs -text
3.3 Initialize Repository
# Initialize LFS in an existing repository
git lfs install
# Verify LFS is active
git lfs version
4. Commit and Push
# Commit the .gitattributes file (important!)
git add .gitattributes
git commit -m "chore: configure Git LFS tracking"
# Add large files normally
git add large-file.bin
git commit -m "feat: add large asset"
# Push (LFS files upload automatically)
git push origin main
5. Clone LFS Repository
# Standard clone (downloads LFS files)
git clone https://github.com/user/repo.git
# Clone without LFS files (faster)
git clone --filter=blob:none https://github.com/user/repo.git
# Pull LFS files later
git lfs pull
# Pull specific paths
git lfs pull --include="images/*"
6. Migration: Convert Existing Repository
# Install git-lfs-migrate
brew install git-lfs
# Migrate specific file types (rewrites history)
git lfs migrate import --include="*.psd,*.png,*.mp4" --everything
# Migrate with backup
git lfs migrate import --include="*.bin" --everything --verbose
# Push migrated history
git push --force --all
git push --force --tags
Warning: History rewriting requires force push and coordination with all collaborators.
7. LFS Management Commands
# List LFS files in repository
git lfs ls-files
# Show LFS file details
git lfs ls-files --long
# Check LFS status
git lfs status
# Prune old LFS objects
git lfs prune
# Fetch specific LFS objects
git lfs fetch --all
# Verify LFS integrity
git lfs fsck
Production Failure Scenarios
| Scenario | Impact | Mitigation |
|---|---|---|
| LFS server unavailable | Can’t checkout files | Cache LFS files locally; use git lfs fetch --all |
| Bandwidth limits exceeded | Push/clone fails | Monitor usage; compress files; use external storage for archives |
| Pointer file committed without LFS | Large file in Git history | Use pre-commit hook to catch; migrate with git lfs migrate |
| LFS file corruption | Checkout fails | Run git lfs fsck; re-fetch from server |
| Migration breaks collaboration | Team confusion | Communicate migration; provide re-clone instructions |
| Storage limits reached | Can’t push new LFS files | Prune old objects; upgrade storage plan; archive unused files |
Trade-off Analysis
| Aspect | Git LFS | External Storage |
|---|---|---|
| Integration | Seamless with Git | Manual sync required |
| Versioning | Full Git history | Separate versioning |
| Cost | LFS storage fees | S3/CDN costs |
| Clone speed | Fast (on-demand download) | Manual download |
| Collaboration | Native Git workflow | Extra steps |
| Backup | Git + LFS server | Separate backup strategy |
Implementation Snippets
Pre-commit hook to catch missing LFS tracking:
#!/bin/bash
# .husky/pre-commit
large_files=$(git diff --cached --name-only | while read file; do
if [ -f "$file" ] && [ $(stat -f%z "$file" 2>/dev/null || stat -c%s "$file" 2>/dev/null) -gt 1048576 ]; then
if ! git check-attr filter "$file" | grep -q "lfs"; then
echo "$file"
fi
fi
done)
if [ -n "$large_files" ]; then
echo "Error: Large files not tracked by LFS:"
echo "$large_files"
echo "Run: git lfs track '<pattern>'"
exit 1
fi
LFS configuration for specific paths:
# .gitattributes
# Images
*.png filter=lfs diff=lfs merge=lfs -text
*.jpg filter=lfs diff=lfs merge=lfs -text
*.gif filter=lfs diff=lfs merge=lfs -text
# Design files
*.psd filter=lfs diff=lfs merge=lfs -text
*.ai filter=lfs diff=lfs merge=lfs -text
*.sketch filter=lfs diff=lfs merge=lfs -text
# Media
*.mp4 filter=lfs diff=lfs merge=lfs -text
*.mp3 filter=lfs diff=lfs merge=lfs -text
# Datasets
*.csv filter=lfs diff=lfs merge=lfs -text
*.parquet filter=lfs diff=lfs merge=lfs -text
# Binaries
*.bin filter=lfs diff=lfs merge=lfs -text
*.exe filter=lfs diff=lfs merge=lfs -text
*.dll filter=lfs diff=lfs merge=lfs -text
CI configuration with LFS:
# GitHub Actions
- uses: actions/checkout@v4
with:
lfs: true # Automatically pulls LFS files
# Or manual LFS pull
- uses: actions/checkout@v4
- run: git lfs pull
Observability Checklist
- Logs: Log LFS upload/download operations and failures
- Metrics: Track LFS storage usage, bandwidth, and file counts
- Alerts: Alert on storage limits, bandwidth thresholds, and fetch failures
- Dashboards: Monitor LFS adoption and repository size trends
- Traces: Trace LFS file lifecycle from add to checkout
Security & Compliance Considerations
- LFS files are stored on remote servers; verify encryption at rest
- Access controls apply to LFS objects; configure repository permissions
- For regulated data, ensure LFS provider meets compliance requirements
- LFS pointer files don’t contain file contents; safe to commit publicly
- Audit LFS access logs for unauthorized downloads
- Consider encrypting sensitive LFS files before committing
Common Pitfalls / Anti-Patterns
| Anti-Pattern | Why It’s Bad | Fix |
|---|---|---|
| Forgetting to commit .gitattributes | LFS not configured for team | Always commit .gitattributes with tracking changes |
| Tracking too many file types | Unnecessary LFS overhead | Track only files > 1MB |
| Not pruning old LFS objects | Disk space waste | Run git lfs prune regularly |
| LFS files in submodule | Complex LFS handling | Keep LFS files in main repository |
| Migrating without team coordination | Broken clones for collaborators | Communicate migration; provide re-clone steps |
| Using LFS for frequently changing files | High bandwidth costs | Use external storage for volatile large files |
Quick Recap Checklist
- Install Git LFS and run
git lfs install - Configure file type tracking in .gitattributes
- Commit .gitattributes before adding large files
- Set up pre-commit hooks to catch missing LFS tracking
- Configure CI to pull LFS files automatically
- Monitor LFS storage usage and bandwidth
- Set up regular pruning schedule
- Document LFS workflow for team members
Extended Production Failure Scenarios
LFS Quota Exceeded
Git hosting providers cap your LFS storage. GitHub’s free tier is 1GB, GitLab gives you 10GB, Bitbucket has 5GB. Hit that limit and the LFS server rejects uploads with batch response: Storage quota exceeded.
The catch: your Git commit succeeds anyway. Git only stores pointer files, so the commit goes through. The LFS push fails. You now have commits pointing to objects that were never uploaded. Anyone cloning after that gets pointer text instead of actual files.
Recovery is messy. You can’t just push again because the commits reference missing objects. Either free up storage by pruning old objects, upgrade your plan, or remove the bad commits and push replacements with smaller files.
Don’t let it get that far. Watch your LFS usage through your provider’s dashboard. Set alerts at 70-80% capacity. Before large pushes, check available space with git lfs status. For archival files you barely touch, store them on S3 or GCS instead of burning LFS quota on things you rarely need.
Pointer Files Without Actual Content
This failure mode catches every team at least once. A developer decides to track a new file type — say, .fbx for 3D models — and updates .gitattributes with *.fbx filter=lfs. They commit the attribute change, add the files, and push. What they forgot: they never ran git lfs install on their machine. The smudge and clean filters never registered, so Git stored the actual binary content as a plain Git blob, not an LFS pointer.
The consequences unfold in stages. First, the repository swells by whatever size those files are. Every clone pulls those bytes, even though the files should have been pointers. Second, other developers on the team pull the same commits and see .fbx files in their working directory — but when they run git lfs ls-files, nothing shows up. The files exist in Git but not in LFS. Third, if anyone tries git lfs pull expecting the files to materialize, nothing happens because the LFS server has no objects to serve. The files are trapped as regular Git blobs, invisible to LFS tooling.
The core problem is that Git commits succeed independently of LFS operations. Git only sees the pointer file content — if the filter never ran, Git never knew LFS was involved. The commit pointer references an object ID that exists in the Git object store, not in the LFS server. So even though the push to the Git remote succeeds, the LFS push never attempted to upload anything because there was nothing to upload.
Mitigation:
- Run
git lfs installin a pre-commit hook or as part of developer onboarding so the filters are always registered before anyone can commit large files - Use a CI check that runs
git lfs ls-filesand compares the output against actual file sizes — any tracked file over 1MB that doesn’t appear in LFS output fails the build - If you discover files that slipped through, repair them with
git lfs migrate import --include="*.fbx" --everythingwhich rewrites history to replace the raw blobs with LFS pointers, then force push to update all branches
Extended Trade-offs
| Aspect | Git LFS | Git Annex | External Storage (S3) |
|---|---|---|---|
| Cost | Provider-dependent (often paid after free tier) | Free — self-hosted | Pay-per-use, can be cheaper at scale |
| Accessibility | Native Git workflow | Complex — separate toolchain | Manual — separate download step |
| Versioning | Full Git history of pointers | Full history tracking | Separate versioning system needed |
| Setup | Simple — git lfs track | Complex — init, configure remotes | Moderate — SDK or CLI integration |
| Collaboration | Seamless — works with any Git host | Requires all users to install git-annex | Requires separate access management |
| Best for | Game assets, design files, ML datasets | Academic archives, personal backups | Static assets, distribution files |
Security and Compliance: LFS Object Access Control
- Access control: LFS objects inherit repository permissions. If a user can clone the repo, they can download all LFS objects. For sensitive binaries, use private repositories with strict access controls.
- Bandwidth costs: LFS bandwidth is often billed separately from storage. Large teams cloning frequently can incur significant costs. Use
git clone --filter=blob:noneto skip LFS downloads until needed. - Regional storage: Some LFS providers store objects in specific regions. For compliance (GDPR, data residency), verify where LFS objects are stored. GitHub LFS uses the same region as the repository; self-hosted GitLab allows region configuration.
- Encryption: LFS objects are encrypted in transit (HTTPS) but may not be encrypted at rest depending on the provider. For sensitive binaries, encrypt files before adding them to LFS and manage decryption keys separately.
- Audit logging: Track LFS download events for compliance. Most providers log LFS access separately from Git access. Review logs periodically for unusual download patterns.
Cross-Roadmap References
- Object Storage — System Design roadmap: S3-compatible blob storage for large binary assets
- System Design Learning Roadmap — Broader architecture context for large file handling
Interview Questions
When you add a tracked file, Git LFS intercepts the operation via smudge/clean filters. It stores the actual file on the LFS server and creates a pointer file (containing OID, size, and server URL) in the Git repository. On checkout, the smudge filter replaces the pointer with the actual file downloaded from the LFS server.
Git LFS replaces large files with pointers while keeping them in the same repository. Submodules reference external repositories. LFS is better for large files within a project; submodules are better for separate projects with independent lifecycles. LFS provides seamless integration; submodules require explicit initialization and updating.
Use git lfs migrate import --include="*.ext" --everything to rewrite history and replace existing large files with LFS pointers. This requires a force push and coordination with all collaborators, who must re-clone the repository. Always backup before migration and test on a copy first.
You can't push new LFS files until you free up space or upgrade your plan. Existing LFS files remain accessible. Solutions include pruning old objects (git lfs prune), removing unused LFS files from history, or migrating to external storage for archival files. Monitor usage proactively to avoid surprises.
Most major providers support LFS: GitHub, GitLab, Bitbucket, Azure DevOps. However, storage limits, bandwidth policies, and pricing vary significantly. Some providers include LFS in their plans; others charge extra. Always verify LFS support and limits before committing to a hosting provider for large-file repositories.
A Git LFS pointer file is a small text file (typically 128 bytes) that replaces the actual large file in the Git repository. It contains the LFS version, the file's SHA-256 OID (object ID), and the file size in bytes. For example: version https://git-lfs.github.com/spec/v1, oid sha256:abc123..., size 12345678.
The pointer file is what Git actually versions and commits. The smudge filter reads this pointer during checkout and downloads the real file from the LFS server. If the pointer file is committed without the actual LFS object on the server, you get a broken checkout where the working directory shows the pointer text instead of the real file.
The key is to commit the .gitattributes file to the repository so every team member automatically gets the same LFS tracking configuration. Define patterns for file types (e.g., *.psd filter=lfs diff=lfs merge=lfs -text) in .gitattributes and commit it before anyone adds large files.
Additionally, use a pre-commit hook that checks for files over a size threshold (e.g., 1MB) that aren't tracked by LFS. This catches human errors where team members add large files without updating the tracking patterns. Document the LFS workflow in your team's onboarding guide so everyone understands how to add new file types to LFS.
When bandwidth limits are exceeded, LFS push and pull operations fail with a quota exceeded error from the hosting provider. Existing LFS objects remain accessible — you can still clone older commits that reference objects already stored — but you cannot upload new objects or download objects that were never cached locally.
Mitigation strategies include monitoring bandwidth usage proactively, compressing files before adding them to LFS, using git clone --filter=blob:none to avoid unnecessary LFS downloads in CI, and upgrading your hosting plan or switching providers if bandwidth costs become prohibitive at scale.
Git LFS does not support meaningful diffing of binary files. Since the actual file content is stored externally and only a pointer file exists in the repository, Git's diff engine sees only the pointer file differences (OID changes) rather than content-level changes. This is a fundamental limitation — LFS treats files as opaque blobs.
For binary assets that need diffing (e.g., design files, 3D models), consider specialized tools like PixelGlass for images or DeltaWalker for binary comparison. Some providers like GitHub support rich diffs for specific file types (PNG, SVG) without LFS, which may be a better choice if visual diffing is important.
Several alternatives exist depending on your use case. Git Annex provides similar functionality but with a different architecture — it tracks file content in the Git repository while storing the actual files on external remotes, offering more flexibility for archival and academic use cases. External storage (S3, CDN, GCS) is appropriate for static assets that don't need version control integration.
For game development, Perforce is often preferred due to its superior handling of large binary files and partial checkout capabilities. DVC (Data Version Control) is purpose-built for ML datasets and models. Some teams use Git submodules to reference separate repositories for large files, though this introduces coordination overhead.
Use git lfs migrate import with the --include flag specifying file patterns: git lfs migrate import --include="*.psd,*.png" --everything. This rewrites Git history, replacing the actual file contents in old commits with LFS pointer files. The --everything flag applies the migration to all branches and tags.
You can also migrate specific directories: git lfs migrate import --include="assets/images/**" --everything. Always run the migration on a fresh clone to avoid local state issues, and coordinate with the team since migration requires a force push. Test the migration on a copy of the repository first to verify the results.
git lfs migrate import and git lfs migrate export?git lfs migrate import converts large files in Git history to LFS pointers, reducing repository size by storing actual file content on the LFS server. This is the command used when migrating an existing repository to use Git LFS. It rewrites history so old commits reference LFS objects instead of storing the full file content.
git lfs migrate export does the reverse — it converts LFS pointer files back to regular Git blobs, removing files from LFS management. This is useful when you decide LFS isn't right for certain file types, or when migrating away from LFS entirely. Both commands rewrite history and require force push and team coordination.
Most CI/CD platforms require explicit LFS configuration to pull large files during builds. In GitHub Actions, set lfs: true in the checkout step. In other CI systems, run git lfs pull after checkout. Without this, CI jobs work with pointer files instead of actual content, causing build failures.
For faster CI, use git clone --filter=blob:none to skip LFS download entirely, then selectively pull only the LFS files needed for the specific build job. This avoids downloading gigabytes of assets for every CI run. Cache LFS files between CI runs using platform-specific caching mechanisms to further reduce bandwidth and build time.
Git LFS file locking prevents merge conflicts on binary files by allowing developers to lock files they are actively editing. When you lock a file via git lfs lock filename.ext, other users are blocked from pushing changes to that file until you unlock it with git lfs unlock filename.ext.
This is particularly important for binary file formats like PSD, AI, or 3D model files that cannot be merged. Without locking, two developers editing the same binary asset will inevitably encounter merge conflicts that must be resolved by discarding one version. File locking requires server-side support and works with most major Git hosting providers.
Use git lfs prune to remove local LFS objects that are no longer referenced by any checkout or recent commit. This frees up disk space without affecting the remote LFS storage. By default, prune keeps objects referenced by the current checkout plus recent revisions (configured via lfs.pruneverifyremotealways and lfs.pruneoffsetdays).
For remote storage management, identify large or unused LFS objects with git lfs ls-files --all --size. Some providers offer APIs to delete specific LFS objects, but use caution — deleting objects that are still referenced in Git history will break checkouts for anyone fetching those commits. Set up automatic pruning schedules in CI and monitor storage usage dashboards provided by your Git host.
Git LFS integrates with Git's partial clone feature via git clone --filter=blob:none, which downloads commit metadata but defers downloading LFS objects until checkout. This enables faster clones by transferring only the pointer files initially, then fetching actual content on demand during checkout.
When combined with sparse checkout, you can clone a monorepo and only populate specific directories, and LFS will only download the large files within those checked-out paths. This dramatically reduces clone time and disk usage for repositories with many large assets, making it practical to work with game engines, ML datasets, and design repositories on limited bandwidth.
Git LFS improves initial clone speed for repositories with large files because only pointer files (128 bytes each) are transferred through Git's protocol. The actual file content is downloaded in parallel by the LFS client from the remote server, typically using multiple concurrent connections. A repository with 1GB of assets might clone in seconds instead of minutes.
However, checkout time increases because each LFS file triggers an HTTP request to the remote server. For repositories with thousands of small LFS files, the overhead of individual requests can make checkout slower than a non-LFS repository. Use git lfs pull --include="..." to selectively fetch only needed files, and consider batching small assets into archives to reduce the number of LFS objects.
Common Git LFS errors include pointer files in the working directory instead of actual files (meaning LFS objects weren't downloaded — run git lfs pull), batch response errors indicating quota or auth issues (check hosting limits and credentials), and smudge filter errors during checkout (re-run git lfs install and verify filters are configured).
For corruption issues, run git lfs fsck to verify object integrity. For missing objects, try git lfs fetch --all to download everything. If you see this exceeds Git LFS file size limit, the file exceeds your provider's limit (typically 2-5GB) and needs to be split or stored externally. Always check git lfs env to verify LFS configuration and endpoint URLs.
For large teams, standardize LFS tracking patterns via a committed .gitattributes file and enforce it with CI checks that reject pushes containing large non-LFS files. Establish clear ownership for different asset types — designate who can add new LFS file patterns and who monitors storage usage each sprint.
Implement LFS file locking for binary assets to prevent merge conflicts. Use git lfs dedup (where available) to save disk space on duplicated files across branches. Set up automated alerts at 70% and 90% of your storage and bandwidth quotas, and schedule regular audits to identify and archive unused LFS objects. Document the LFS workflow heavily in your onboarding materials.
Git LFS is simpler to set up and integrates natively with major hosting providers (GitHub, GitLab, Bitbucket), making it the preferred choice for most teams. It uses a straightforward pointer file model and works transparently once configured. However, it requires paid storage on most providers beyond free tiers and is less flexible about storage backends.
Git Annex is more flexible and powerful but significantly more complex. It supports multiple remote storage backends (S3, rsync, USB drives, web) and allows files to exist only on specific remotes without needing a central server. Git Annex is better suited for archival, scientific data, and scenarios where you need fine-grained control over file availability. For most software teams managing binary assets, Git LFS is the recommended choice due to its simplicity and platform support.
Further Reading
- Git LFS Official Site
- Git LFS Documentation
- GitHub LFS Documentation
- GitLab LFS Documentation
- LFS Migration Guide
- Git LFS File Locking
Conclusion
Git LFS solves the fundamental tension between Git’s text-first design and the need to version large binaries. By replacing heavy files with lightweight pointers, LFS keeps clone times fast and repository sizes manageable while still tracking every version of your assets.
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