P: Generative Remove Feedback (Lr Classic & Lr Eco)

@Rebecca217624854pcb: "I've been experiencing a sporadic error "generative remove failed". ... it could be my firewall, but I've disabled and it still persists."

If the full error message is "Generative Remove Failed. We've encountered an issue and can't complete your request at this time. Please try again later.", then try connecting to another network, preferably one serviced by a different ISP. E.g. a Wifi connection of a neighbor, a coffee shop, work, or your phone's hotspot. Sometimes the routers in these networks block LR's requests, especially in authoritarian countries like China.

If the full error message is something different, please include a full-resolution screenshot (not a phone pic) of the entire error.

@Gabriel E._Escobar L�8187: "With the last update in Lightroom Classic, Generative Remove isn't removing objects, it just replaces them with other random things with bad quality."

Generative AI Remove hasn't changed since LR 14.0.  To get it to remove rather than replace:

1. Uncheck Detect Objects before brushing a selection -- it doesn't work well, especially with skinny objects and along the edges of photos.

2. See this short article for how to remove objects more reliably:
https://www.lightroomqueen.com/generative-remove-replace/

Most complaints about Remove are addressed in the article. But if it doesn't help, please attach a full-resolution JPEG exported from the unmodified original photo (not a screenshot). With nearly every one of the many dozen problem photos posted here, we've been able to show how to quickly remove the desired objects.

@Joseph Allen-Keys: "A lot of generations aren't blending - like it needs feathering on the brush. It makes the corrections too obvious to use."

Many have observed here that the replacements made by Generative Remove sometimes don't match the photo's tone or noise. To get better matches, these techniques sometimes help:

1. Adobe recommends applying Denoise before Remove. This can reduce the noise, making it more likely the replacement will match.

2. The replacement patch supplied by Adobe Firefly has a maximum size of 2048 x 2048 pixels. If the selected area in the photo is larger than that, then the replacement patch gets upscaled (and blurry). Try removing smaller selections if possible.

3. Conversely, try making a larger selection, even including the entire background. Upscaling of the replacement sometimes won't be noticeable then.

4. Sometimes there's a distinctly visible boundary where the tone or noise don't match. You can often use the heal tool around the boundary to get better feathering and make it less noticeable -- apply Heal in small brush strokes. Or use a Brush mask with maximum feathering, dropping local Texture, Clarity, and Sharpness to their minimum values. Sometimes, making a very raggedy selection around the object makes the boundary less noticeable.

5. For grain/noise in particular, see this post for how to ameliorate the problem by adding the grain back or reducing the grain:
https://community.adobe.com/t5/lightroom-classic-discussions/p-generative-remove-feedback-lr-classic-amp-lr-eco/m-p/14917497#M382464

Sabienem, das Thema wurde hier schon mehrfach besprochen. Lightroom's generative AI option kann Personen wunderbar und komplett entfernen. Wenn andere Meschen generiert werden, dann ist der Fehler das die Auswahl nicht die ganze Person abgedeckt hat. Stelle sicher das du die ganze Person mit dem Remove brush abdeckst und auch etwas daruber hinaus gehst. Auch Spiegelungen im Boden oder Glass die eine Reflektion der Person zeigen (unscharf oder nicht) muss mit ausgewaehlt werden. 

Zu deinen Bedenken ob die Menschen die eingefuegt werden davon wissen. Das ist ein Missverstaendniss auf deiner Seite. Das sind keine echten Menschen. Das sind keine Fotos die eingefuegt werden. Die gibt es nicht. KI generiert dies Bilder.  

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@TimothyFY2025: "The spotting tool in LRC is so convoluted..."

Are you talking about the Heal tool?  What's convoluted about it? I just used it to remove dust from several dozen slide scans this afternoon, and it was dumb simple -- click on a dust spot and it disappears.

@Steven31501606e2fj: "Half of the time it clones even though it's on the remove setting. Def not what I'm paying good money for."

1. Uncheck Detect Objects before brushing a selection -- it doesn't work well, especially with skinny objects and along the edges of photos.

2. See this short article for how to remove objects more reliably:
https://www.lightroomqueen.com/generative-remove-replace/

Most complaints about Remove are addressed in the article. But if it doesn't help, please attach a full-resolution JPEG exported from the unmodified original photo (not a screenshot). With nearly every one of the many dozen problem photos posted here, we've been able to show how to quickly remove the desired objects.

@fernando26737625pl84: "The removal works fine but after some time it disappears."

See my previous reply: https://community.adobe.com/t5/lightroom-classic-discussions/p-generative-remove-feedback-lr-classic-amp-lr-eco/m-p/15393963#M407921

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@Thomas Bertini, the orange-circle icon in your screenshot:

indicates that LR can't write the <catalog>.lrcat-data file for some reason, either because LR has corrupted it or there is a permissions issue. LR stores computed AI settings in that file. Try these steps:

1. Do the menu command Help > System Info. If you're not on the latest version (currently 14.3.1), do Help > Updates.

2. In LR, do Edit > Catalog Settings > General > Show. That will open Windows File Explorer / Mac Finder on the current catalog folder.

3. Exit LR.

4. Move the file <catalog>.lrcat-data to the Desktop.

5. Start LR.

6. In Library Grid view (not Loupe view), select all photos and do Photo > Develop Settings > Update AI Settings. That will recompute all the AI masks, which could take a while. 

Recently, however, these steps haven't worked for many people.  If they don't work for you, I recommend starting a new thread rather than continuing the discussion in this very crowded thread.