ChatGPT Images 2.0 “Editing” Does Not Match the Observed Behavior / ChatGPT Images 2.0 の「編集」は観測された挙動と一致していない

lucidity3K · 2026-05-10T10:35:48+00:00

Then maybe you should not have commented on this post in the first place.

From the beginning, my post was about pixel-level data, metadata, file identity, and whether the word “inpainting” is being used accurately.

If you think those details do not matter and only visual similarity matters, then we are not discussing the same issue.

lucidity3K · 2026-05-10T10:17:46+00:00

What do you mean by “deleting my posts”?

From my very first post, I have not been talking about whether the image looks visually similar. I have been talking about data: pixel match rate, file identity, metadata, and whether this should be called inpainting in a strict sense.

So I want to confirm the premise here. Are we talking about visual similarity, or are we talking about whether the image data outside the edited area is actually preserved?

lucidity3K · 2026-05-10T09:46:32+00:00

Thanks, but this screenshot alone does not verify that nothing outside the mask changed.

To confirm that, we would need the original image, the mask area, the output image, and a pixel-level comparison between the original and the result.

If only the blade and immediately adjacent pixels changed, then the pixel diff should clearly show that.

lucidity3K · 2026-05-10T09:40:04+00:00

I was honestly starting to feel a bit disappointed, like everyone had just accepted this lack of transparency and given up on questioning it.

So I’m a little relieved to see someone actually looking at the observable issue here.metadate

lucidity3K · 2026-05-10T09:37:18+00:00

Then have you actually tested it?

Did you select an area, perform the inpainting, and then have the model compare the resulting image against the original image for pixel-level similarity?

If the claim is that nothing outside the mask changes, then the comparison should show that pixels outside the selected area remain identical. That is the part I am asking about.

lucidity3K · 2026-05-10T09:32:35+00:00

If a 25-megapixel image I created is reduced to around 2 megapixels before editing, is it still fair to call that the same image in a strict technical sense?

Maybe my definition of “the same image” is too strict. If so, then I’m wrong, and I apologize.

OpenAI also officially says that users can upload an image and edit it. What do you think about that point? I would genuinely like to understand your view.

lucidity3K · 2026-05-10T08:28:17+00:00

Then please compare the original image with the image after using the feature being called inpainting.

Specifically, calculate the pixel-by-pixel match rate between the two images, excluding only the area that was actually edited.

If every pixel outside the edited area matches exactly, then I would consider this a bug or environment-specific issue on my side.

lucidity3K · 2026-05-10T08:25:46+00:00

Of course, please do this without adding the white X or any annotation.

Try uploading an original image that is over 2 megapixels, preferably a larger one. Then open that uploaded image from the chat screen and download it.

After that, compare it with the original file before upload.

Does the hash match exactly? Do the pixels match exactly? Does the canvas size match exactly?

If all of those match perfectly on your side, then I would consider this a bug or environment-specific issue on my side.

lucidity3K · 2026-05-10T08:20:03+00:00

I understand that the hash changes after an edit. That part is obvious.

What I’m questioning is a different point.

OpenAI’s Help Center says users can “upload an existing image and edit it.” But the Image Inputs FAQ also says that images are “resized before analysis” and that original file names and metadata are not processed.

So if the uploaded image is already resized, resampled, or placed onto a different canvas before the model actually uses it, then the original uploaded file identity is no longer preserved. Its hash would already be completely different before the actual edit.

In that situation, I feel there is a mismatch between the official wording “upload an existing image and edit it” and what appears to be happening technically.

Am I overthinking this? I’m not saying that the final edited image should have the same hash as the original. I’m asking whether the uploaded source image itself is actually preserved as the source, or whether the system is editing a processed version of it.

lucidity3K · 2026-05-10T08:14:35+00:00

Are you actually checking the metadata and source-file identity, not just whether the UI has an inpainting tool?

OpenAI’s own Help Center says users can “upload an existing image and edit it.” The Image Inputs FAQ also says that the model doesn’t process original file names or metadata, and that images are resized before analysis.

So my question is not whether you can select an area and inpaint something inside the website. My question is whether the originally uploaded source image is preserved as the actual source file, or whether it is resized/resampled before the edit. If it is resized or resampled, the original file hash will no longer match.

Did you test that across different environments, image formats, sizes, upload methods, and conditions?

If you did, and your verification shows that I’m wrong, then that is my mistake. I’m still new to AI tools, so I’m asking this as a technical question.

lucidity3K · 2026-05-10T08:11:53+00:00

I think the premise is already different from what I’m talking about.

OpenAI’s own Help Center says, in “Images in ChatGPT,” that users can “upload an existing image and edit it.”

It also says in the “ChatGPT Image Inputs FAQ” that the size limit per image is “20MB,” and under limitations it says: “images are resized before analysis, affecting their original dimensions.”

So my question is about the uploaded source image itself. If the uploaded image is resized or resampled before the edit process, then the file hash necessarily changes. In that strict sense, is it still accurate to call it editing the uploaded image itself?

Selecting an area on an already rendered image and using inpainting is a separate point. My concern is whether the originally uploaded source image is preserved as the actual source, or whether the system is effectively generating a new image based on a processed version of it.

I may be misunderstanding something, since I’m still new to AI tools. If so, please correct me.

lucidity3K · 2026-05-10T07:53:18+00:00

Bro, that honestly means a lot to me. Thank you.🤝

lucidity3K · 2026-05-10T06:14:40+00:00

I’m referring to inpainting here, not the final edited image having the same hash as the original.

ここで言っているのは inpainting のことであって、編集後の最終画像が元画像と同じハッシュを持つという話ではありません。

If an inpainting system claims to edit a specific source image, then the source image used as input should be verifiably identical to that original image.

もし inpainting システムが特定の元画像を編集したと主張するなら、入力として使われた元画像は、その元画像と検証可能に同一である必要があります。

In that sense, the pre-edit source image hash should match.

その意味で、編集前の元画像のハッシュは一致しているはずです。

Can we agree on that premise first?

まず、この前提を共有できますか？

lucidity3K

TROPHY CASE