What do you want to do?
3 use cases
-
Score how much an image model changes what it shouldn't
Run the 40-edit benchmark with your model and compute its Edit Fidelity Score.
View prompt
Using MegaTroll222/edit-drift, run the milk benchmark edits with <model>, score them, and report the Edit Fidelity Score and final drift.
-
Compare image models with a leaderboard and video
Generate a report and side-by-side videos for every model you scored.
- REPO
MegaTroll222/edit-drift - Data and analytics
- Intermediate
View prompt
Run `editdrift report benchmarks/milk results/milk --out report` and summarize the ranking. Create a side-by-side video of the top two models.
- REPO
-
Run the benchmark from Claude Code
Install the plugin and let Claude Code drive scoring and reporting.
- REPO
MegaTroll222/edit-drift - Claude Code
- Data and analytics
- Intermediate
View prompt
Using the edit-drift Claude Code plugin, score results in <folder> and produce the report. Confirm scores.json exists for each model.
- REPO
Quick start with Edit Drift
- Check you have what it needs: Python with pip; Outputs from the image models you want to compare.
- Open MegaTroll222/edit-drift on GitHub and read the README and license.
- Install with
pip install git+https://github.com/MegaTroll222/edit-drift - List the edits with
editdrift steps benchmarks/milk - Generate each edit with your model, applying it to the previous result
- Score with
editdrift score benchmarks/milk results/milk/my-model
These steps come from our top use case, Score how much an image model changes what it shouldn't, which also has a copy-paste agent prompt.
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Using the Deduped MCP, get the setup steps for MegaTroll222/edit-drift
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claude mcp add --transport http deduped https://dedupedai.com/mcp
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About this repo
- Who it is forML engineers and teams choosing an image editing model who care about fidelity in untouched regions.
- Why it is hot14 stars, launched 19 days ago, picked up by one AI source we track
- LanguagePython
- Sourcegithub.com/MegaTroll222/edit-drift · Back to Hot repos
Requirements
- Python with pip
- Outputs from the image models you want to compare
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Questions about Edit Drift
What is Edit Drift?
Edit Drift is a chained-edit benchmark and scorer that measures how much image models alter the untouched parts of a photo across 40 consecutive edits, with a CLI and a Claude Code plugin. It is an open-source project on GitHub: https://github.com/MegaTroll222/edit-drift.
How do I use Edit Drift?
Install with pip install git+https://github.com/MegaTroll222/edit-drift; then List the edits with editdrift steps benchmarks/milk; generate each edit with your model, applying it to the previous result. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Edit Drift for?
ML engineers and teams choosing an image editing model who care about fidelity in untouched regions.
What can I do with Edit Drift?
3 use cases so far, for example: Score how much an image model changes what it shouldn't; Compare image models with a leaderboard and video; Run the benchmark from Claude Code. Each has steps and a copy-paste agent prompt.
What do I need to run Edit Drift?
Python with pip; Outputs from the image models you want to compare.
What are alternatives to Edit Drift?
Other hot AI repos in Data and analytics: LangExtract, Crawl4AI, Firecrawl, OpenBB, DSH Usage.
Is Edit Drift safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.