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D ledger: object removed

An open paper accounts ledger with ruled columns, fountain pen resting on the page, window light, with the object taken back out by Stable Diffusion 1.5 inpainting and the gap reconstructed from the surrounding context alone - the masked latents are erased before sampling, so the model never saw what it was painting over. Inside the mask it differs from the source by 106.971/255 and from the ground-truth plate by 21.952/255; the second number is NOT expected to be small, because an inpainter invents plausible content rather than recovering what was there. Beyond a 16-pixel ring around the mask the frame changes by only 3.353/255, which is the full-frame VAE round trip and not an edit.

Preview of D ledger: object removed

Specifications

Width
512
Height
512
Role
result
Removal Kind
blob
Mask Coverage
0.05602
Source Plate
nss-d-ledger_00001_.png
Crop Box
17,317,529,829
Group Members
4
Synthetic
true
Disclosure
Derived from an AI-generated plate. Synthetic, not a photograph of a real scene.
Schema Version
1
Model
Stable Diffusion 1.5 (v1-5-pruned-emaonly-fp16)
Sampler
dpmpp_2m / karras, 25 steps, CFG 7.0, denoise 1.0
Seed
2267602550
Grow Mask By
12
Ring Px
16
Inside Changed Mad
106.971
Ring Changed Mad
5.707
Outside Changed Mad
3.353
Inside Vs Truth Mad
21.952
Outside Vs Truth Mad
3.353
Palette Gap
14.354
Truth Palette Gap
2.926
Alt Text
An open paper accounts ledger with ruled columns, fountain pen resting on the page, window light

Testing contract

Expected to pass
Scenario
Compare this file against the source and the clean plate in its group, measuring inside the mask, in the 16-pixel ring around it, and beyond that ring separately.
Expected result
Inside the mask it differs from the source by 106.971/255 - the object is gone. Beyond the ring it differs by only 3.353/255, the full-frame VAE round trip, so this was a local edit and not a repaint. Against the ground-truth plate the masked region differs by 21.952/255, and that number is NOT expected to be small: the masked latents are erased before sampling, so the model invented plausible content rather than recovering what was there. Measure the three zones separately or the feathered grow beyond the mask scores as damage.

What is a .png file?

PNG (Portable Network Graphics) is a raster image format using lossless DEFLATE compression. It supports full 8- or 16-bit-per-channel truecolor, palette, and greyscale modes with an optional alpha channel, but no animation. It is the standard choice for screenshots, logos, and graphics with sharp edges or transparency.

How to use this file

Use an example PNG to test image decoders, alpha-compositing, thumbnail generators, and format converters, or to verify that a pipeline preserves transparency and color depth on round-trip.

How to use this file for testing

“D ledger: object removed” is a deterministic Novus Examples fixture for Inpainting. Images with cut-out regions (rects, circles, corners, strips, irregular tears) and matching masks for testing inpainting, generative fill, content-aware fill, and object-removal pipelines.

Documented properties for this file: 512×512 · seed 2267602550 · result. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

For image AI or enhancement tools, run the model or filter on this file and diff against the clean or ground-truth companion in the same group when available. Keep seeds and documented damage parameters in your evaluation notes so regressions are attributable.

Run your enhancement model on the degraded input and diff against the clean ground-truth companion in the same group; keep the documented degradation parameters and seed in your eval notes so scores are reproducible.

Code examples

<img src="d-ledger-cleaned.png" alt="Example image" width="640" loading="lazy">

Generated by generation/comfy_removal_wave.py. Free for any use, no attribution required, license.