{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "megatroll222-edit-drift--score-image-model-edit-fidelity",
 "repo": "MegaTroll222/edit-drift",
 "repo_url": "https://github.com/MegaTroll222/edit-drift",
 "repo_slug": "megatroll222-edit-drift",
 "title": "Score how much an image model changes what it shouldn't",
 "page_title": "How to score how much an image model changes what it shouldn't with Edit Drift",
 "summary": "Run the 40-edit benchmark with your model and compute its Edit Fidelity Score.",
 "who": "An ML engineer picking an image editing model for a product.",
 "problem": "Models quietly alter areas they were told to leave alone.",
 "outcome": "Per-step drift and an Edit Fidelity Score in scores.json.",
 "steps": [
  "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`"
 ],
 "agent_prompt": "Using MegaTroll222/edit-drift, run the milk benchmark edits with <model>, score them, and report the Edit Fidelity Score and final drift.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "2 hours",
 "basis": "readme",
 "caveat": "The score averages all 40 steps, so it can rank models differently from final drift alone.",
 "category": "Data and analytics",
 "tags": [
  "Data and analytics"
 ],
 "lang": "python",
 "requirements": [
  "Python with pip",
  "Outputs from the image models you want to compare"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/megatroll222-edit-drift/score-image-model-edit-fidelity/",
 "md": "https://dedupedai.com/use-cases/megatroll222-edit-drift/score-image-model-edit-fidelity/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/megatroll222-edit-drift--score-image-model-edit-fidelity.json",
 "api_version": "v1"
}