#dl: object default
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Various Pet Defaults - Part 1
Pet Bed Basket Expensive
Replaced with chrissy6930's mesh edit of said pet bed (scroll down) and re-mapped by me to use 512x512 textures. Existing recolors will break unfortunately, but I couldn't even find many to begin with. I did include 8 recolors (some of them are remakes of windkeeper's (T$R) recolors). They all have a dirty state, it's not as dirty (/turquoise) as Maxis' but it's something at least. I will include my .psd for this in part 2.
Maxis: polycount: 2784, texture size: 1024x512
My default: polycount: 1294, texture size: 512x512
Pet Food
I dislike the original pet food texture, but I liked the one from this upload by @beautifulnerdkitty. I edited it slightly and turned it into a default replacement.
Note: custom pet bowls might not use my default, since I think they often have their own?
Bon Voyage Bone
The bone sims can dig up from bon voyage is identical to the chew bone from pets ep (but a separate object completely), so I replaced it with the bone from castaway. I re-mapped it to use 140x100px texture (yes!) and I also made it buyable (you can find it under misc - pets) but this edit is in a separate file. If you install the buyable file in your downloads folder, it will have a custom star and can be deleted in-game, and doing so will corrupt your game. If you decide to install the buyable file as well, be careful not to delete the bone in-game!
Maxis made a custom description for this bone, but only in English. I fixed this and now the description is available in all languages, courtesy of Google translate (the Swedish translation I'm confident in but please let me know if any translation needs fixing). They also broke the shadow, which I've successfully restored and edited to fit the new mesh.
Maxis: polycount: 672, texture size: 64x32
My default: polycount: 452, texture size: 140x100 (original was 512x512)
Edited CC
All of the edited custom downloads I mention below, I've re-used their files so you have to choose between my versions or their original!
I re-mapped @deedee-sims' pet pillows to match my new 512x512 textures.
I swapped mesh on hmiller61615's dog chew treat, repo'd it to Maxis' treat texture and also made a version using BV's animations to get rid of the squeaky sound. The file ending with _pets is using the animations from pets with the squeaky sound. The file with _bv at the end is using the animations from bon voyage, with a "boney" sound (and therefore requires bon voyage). Choose one of the files!
hmiller61615's original: polycount: 672, texture size: 64x32
My edit: polycount: 160, texture size: repo'd to Maixs' texture (64x32).
I edited one of the bones by @vampirekiss6661 from here (scroll down). I made it smaller and a tad thicker and gave it a shadow. I made a bv version of this as well, choose one file; either pets or bv!
Polycount: 402, texture size: 128x256
I also re-mapped, resized + edited the textures of ats2's pet bowl & recolor, converted by @beautifulnerdkitty's here. I removed the sheen, repo'd it to Maxis' resources when possible, and gave it a dirty state. My .psd is included if you'd like to make more recolors.
Polycount: 482, texture size: 256x256 (original was 1024x1024)
Recommend Mods
@episims' no rotating pet bowl fix (thank god for that) and Aaron's finicky pet fix (ad-free direct link, SFS mirror).
My pet bed default is required for my recolors to work, and the bv bone default requires bon voyage, otherwise nothing in this dowload is dependent on anything so you can pick and choose what you want. As usual, no mip-maps and everything has been compressed to reduce file size. You can choose between merged or separate recolors (which are clearly named).
Do let me know if anything is wonky or you stumble upon any problems. I am so sorry for the long post, this download wasn't supposed to be more than just two defaults (well, technically it is only 2 defaults included here but I kept getting sidetracked as you can see).. and I have so many more I'll have to make a part 2 (cats are not forgotten)!
DOWNLOAD: SFS | MEGA
Edit 2025-03-25: So sorry!! The pet bowl from ats was incomplete, I apparently never finished that one? Hahah so sorry, the links above have been updated with the fixed mesh. It's only the mesh you need to replace (stroda3t2petbowl1MESH_vk.package) all other files are the same. Because MEGA doesn't allow one to update an uploaded file, I had to delete it and upload it again. Thank you so much @sweetbeagaming for letting me know about the broken shadow<3
No MTS you might ask, and yeah sadly. I'm done uploading to MTS, the upload-wizard completely hates me haha. I've lost all my text more times than I want to admit and keep in mind I have to write [b] and [url=] manually over there. From now on I'll only upload to my tumblr. No offense to MTS, it's a great site and I love it dearly.
Credits: chrissy6930 for the edited mesh, @deedee-sims for the pillows, SpaceDoll for their dirty overlay, hmiller61615 for the chew treat, @vampirekiss6661 for the bone, @cluedosims for the cluedo metal resource, architechture_th for the wood texture, chirokung for the paw texture, aroundthesims2/sandra and @beautifulnerdkitty for the pet bowl, someone(?) for the hyena bone converted from castaway, and lasty, Maxis.
#ts2cc#sims 2 custom content#sims 2 default replacement#dl: default replacement#dl: object default#dl: object recolor#dl: me poking at other people's files
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Sims 2 Databases Database
(Alright it's an index, I just had to)
Made it for myself, I might as well share. If there's something I've missed please let me know. This list is being updated, Tumblr is being a pain and updates won't show up on re-blogs. Visit the original post to view the most current version. Mirror: Dreamwidth.
CC:
By Type:
Sims 2 Object Default Database [Discontinued - DW].
Sims 2 Object Default Database [Active - Spreadsheet].
Sims 2 Default Database [CAS].
Sims 2 Hair Database.
Sims 2 CC: Afro Hairstyles.
Sims 2 Shoes Database.
Sims 2 EA Store Items 2016.
Sims 2 The Maxis Match Repository Project [CAS] [Pinterest Ver.]
Sims 2 Repository Finds [CAS&Objects] [sorted into categories].
Sims 2 Functional Finds [Sorted by function].
Resource list: Clutter and decorative items [massive index at GoS].
Sims 2 Lot Database [Maxis ones emptied out].
Sims 2 Lot Makeover Database [of Maxis Lots] [Note the Uploading Tutorial].
SkyBox/Horizons/Skylines Database.
Maxis Career Conversions TS1+3+4 to TS2 [Sorted by Game&EP - Under Downloads].
Fractured Moonlight's Stone Super Set - Database [Creator Unknown, let me know if you know].
By Theme:
List of Maxis Lost & Found Objects Converted into Usable Items.
Stories to Sims 2 Conversion Database. [DW Backup]
TS1 to TS2 Conversion/Recreation Database.
TS1 Catalog Conversions [Active, Include OG Object Descriptions].
TS3 to TS2 Conversion Database [DW Backup].
TS3 to TS2 Traits Project Mod Tracking Sheet [Blog Ver.]
TS4 to TS2 CAS Conversion Archive [EA].
TS4 to TS2 CC Clothing Conversion Database [Custom - ts4 only?].
TS4 to TS2 Build/Buy Conversion Database [EA].
TS4 to TS2 CC Build & Buy Database [Custom].
The Sims spin-off games to the PC TS2 [&3+4].
TSM-to-TS2 Conversion Database [DW Backup].
Sims 2 Historical Finds [CAS&Objects] [Sorted by Era/Period].
Historical Sims 2 Wiki [New!].
Grunge Masterlist Project 2025.
List of Asian Sims 2 Sites With Working Downloads [As of 2017?].
CC Archives:
Sim Archive Project, at The Internet Archive [Introduction Post].
Sims Cave.
Sims Graveyard.
Simblr.cc - Dead-Site Repository.
Liquid Sims - Community Archives.
The Booty, at PSMBD.
Sims 2 Packrat, on Tumblr [Watch out for the recent SFS Hacking problem].
Ekrubynaffit (a.k.a bestbuild4sims) has re-uploaded a lot of archives of defunct creators. Albums with DL on her pinterest. Mainly build and buy mode, thanks a lot!
Resources:
CEP-Extras List, Huge Lunatic at Sims 2 Artists.
The Sims 2 Tutorials Database [Active] (Really needs a backup outside of Tumblr).
Several Lists of Maxis Resources for Modding,Pick'n'Mix Mods, own website, under Notes.
Sims 2 GUID Database Revival (Yes I'm shamelessly promoting it).
Sims 2 Trait GUID Database, by FireFlower.
Sims 2 Painting Sizes Database.
List of all Color Actions, With DL, ZeroDark/Graphic at GoS.
List of all WSO Actions, by Blue Heaven Sims, under Resources.
Giant List of Simlish Fonts - Collect ‘Em All!, by franzillasims
List of Hacks & Mods That Use Tokens, Bulbizarre at MTS.
Update notes are under the cut:
Update: Custom Clothing Conversion db [4t2], by @brandinotbroke/ Hair db, by @krabbysims/ Sims 4t2 CAS Conversion Archive [EA], by @mdpthatsme/ CEP-Extras List, by @hugelunatic/ Lists of Maxis Resources for Modding, by @picknmixsims/ Sims 2 Tutorials db [Active], by @sims2tutorials/ Sim Archive Project at The Internet Archive, by various - see @simnostalgia. Update 1: added EA ts2 store items at GoS/ Painting sizes db/ Tutorials db, by @sims2tutorials. Update 2: GUID db Revival. Update 3: believe it or not, there's more - Shoes db/ Sims 2. Functional Finds [sorted by function], by @sims2functionalfinds. Update 4: Resource list: Clutter and decorative items, at @gardenofshadowssims. Update 5: added archives section. Update 6: added @ekrubynaffit's Pinterest Archive. Update 7: Fixed TSM link, added Stories db/ Afro Hairstyles db, by @letomills/ SkyBox/Horizons/Skylines Database, by @simmergetic/ Grunge Masterlist Project 2025, by @pixeldolly/ and DW backup links (Everything that's exclusively on Tumblr/LJ should be backed somewhere else). Update 8: List of Asian Sims 2 Sites With Working Downloads [as of 2017?] by @0201-sims. Update 9: added Sims 2 Repository Finds [sorted into categories], by @sims2repositoryfinds. Update 10: added Sims 2 Object db [Discontinued], because the more the better. Update 11 Yet another (!): The Maxis Match Repository Project [CAS], by @whattheskell [how did i forget?]/ TS3 to TS2 Traits Project Mod Tracking Sheet, by Rowena Sims & @noodlebelli. Update 11: Maxis Career Conversions TS1+3+4 to TS2 [Sorted by Game&EP - Under Downloads], by @sims2idea-lientebollemeis2i. Update 12: HS I found another one: List of all Color Actions - Names, Creators, and Download Links. Maintained for over a decade by @zerographic at GoS :P Update 13: separated by type & theme. added Sims 2 Historical Finds [CAS&Objects] [Sorted by Era/Period], by @ts2history. Update 14: added to resources Trait GUID db, by @fireflowersims. Update 15: I shit you not, there's more - Sims 2 Lot Makeover db [Maxis Lots], by @ts2lotmakeoverdb/ List of Hacks & Mods That Use Tokens, Bulbizarre at MTS/ TS1 Catalog Conversions [Active], by @kitteninthewindow/ WSO Action Masterlist, by Blue Heaven Sims under Resources. Update 16: List of Maxis Lost & Found Objects Converted into Usable Items, @kirlicues. Update 17: Sims 2 Lot db [Maxis ones emptied out], by @mikexx2 @mrsktrout @ts2lots. Update 18: Historical Sims 2 Wiki [New!], by @theacmecatalogblog. Update 19: under archives; Simblr.cc - Dead-Site Repository by @simblrcc-site. Jackpot!
Update 20: added Giant List of Simlish Fonts - Collect ‘Em All!, by @franzillasims.
#ts2#sims 2#the sims 2#resources#ts2 resources#ts2 database#ts2cc#ts2 cc#ts2 download#sims 2 cc#the sims 2 cc#sims 2 download#the sims 2 download#the sims 2 resources#tagging is a bitch#sims 2 database#the sims 2 database#sims 4t2#sims 3t2#sims 1t2#1t2#3t2#4t2#ts2 defaults#sims 2 default replacement#GUID Database#The Sims 2 GUID Database#ts2 archive#ts2 archives#sims 2 archives
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📣 Recent updates:
08.04.2024
1-slot Bar worktop OMSP included with my Bar Decor Set was edited and now it doesn't block bar access. I've also added second (also 1 slot) bar OMSP for the lower bar shelf. DL link (SFS)
Please note these OMSPs are an alternative to my half-assed Bar surface OMSP that still blocks bar functions. FYI it cannot be changed for some reason so I'd have to remake that object. Done.
07.04.2024
Edited Deco guitar floor stand - now it can be placed on surfaces without moveObjects cheat.
26.03.24
Updated Toast Flute Default - now glasses are only half-full when Sims toast at the table.
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Navigation // Masterpost
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I’m WCIF friendly, but I also have a lot of old stuff in my game, so I can’t guarantee anything. I should at least be able to give you names though! Please send them via ask though, otherwise I might miss them or forget!
I make TS2 CC exclusively (you will find no ts4 cc here.) and write semi-interesting soap opera style posts based vaguely around gameplay. (with a lot of artistic liberty.) That being said, my writing has some darker themes. I tag appropriately with “tw xxx�� as the standard. (ie: “tw death”) please read at your own risk. I’m willing to add extra tw tags for regular readers/mutuals/etc if you send me a dm.
if you follow me with an empty blog that has no pfp or a generic ‘hot person’ pfp I’m gonna assume you’re a bot and block you. just a heads up.
(if you only want to see my posts, and no reblogs, all my posts are tagged "my posts" for more specifics, read on)
Current Story (Master Post)
Ten years ago, Arkhelios' "quiet" town was thrown into chaos when one of their beloved founders, Abraham Helios, was found murdered in the park one late night. With no real leads, and no laws as safety nets in place, the case went cold and the town hasn't been the same since. Salem Bellamy stepped up to take over in Abraham's wake, but the peace that followed is strained at best. With new complications on the rise, and the older generation fighting to establish a social hierarchy, the younger generation of residents struggle to find their place, and move on from their traumatic childhoods. But can one really move on, when what's dead and buried doesn't stay that way?
My Custom Content:
// [pfate tag] // (All my CC) // [Whole SFS Folder] // (it might be a mess) // [Google Doc Master Post] // (includes images) // [Object Default Database] // (a GD database for ts2 B/B defaults) // [Pearshape Fat Morph Project] // (info || tag)
Note:
My custom content follows the same tagging system I use for cc finds, so it will also be mixed in with those tags if you’re looking for something specific. You can also find only my custom content via the “dl: xxx” tags (ie: “dl: hair”) or on my Pillowfort.
TOU is basically just don’t say you made it yourself, feel free to do whatever you want with it though, just don’t put anything created with my shit behind a paywall… and idek a link/credit or an @ would be pretty chill. it’s not 100% necessary though.
I don’t really take requests, but feel free to make a suggestion. Just don’t be alarmed if I say I’m not interested.
(hiatus/retired) Pleasantview Fanfic. ((Master Post))
What happened in Pleasantview after Bella Goth's disappearance? How did the other citizens fare from the aftermath, and how does one exactly grow up when your parents can't seem to get a handle on their own lives? Follow the slice-of-life storyline of the teens and young adults from pleasantview, with a few cameos from other neighborhoods.
Other’s Content:
(Other simmer’s works, these will all also be generally tagged: reblog) —————————————————————————————— Sims 2 Custom Content Finds Tag Masterpost —————————————————————————————— Other common tags: Sims Artwork // Sims Memes // Sims 4 // sims stories ——————————————————————————————
Stories to Read list
The occasional TS4 post I make will be tagged pfate ts4
#navigation#master post#ts2#new pinned post yessssssss#for more master posts/ important posts check the tag:#pinned
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Get to Know Me- Sims Edition
thank you @hurricanesims for the tag <33
sorry for taking so long to reply, for some reason it took me ages to actually answer these questions🤠
What's your favourite Sims death?
i hate when my sims die.. i can honestly say i’ve never forcefully killed any of my sims as I get so attached to them. in this case, id probably say death by old age.
Alpha CC or Maxis Match?
alpha! back when I used to play ts4 i gravitated towards maxis match.
Do you cheat your sims weight?
seems pointless to me lol
Do you use move objects?
yes!🫡🫡 impossible to build /decorate without it
Favourite Mod?
nrass master controller - it so universal and makes life a lot easier 🥺
First Expansion/Game Pack/Stuff Pack?
my first expansion was university life. it will forever have a special place in my heart, I love it so much
Do you pronounce live mode or aLIVE or LiVing?
never even thought about it honest, probably like alive??
whos your favourite sim that you've made?
my girlie marcie, she’s come so far with me so I just have a special kinda attachment to her lol
Have you made a simself?
no i think this would just make me miserable
Which is your favourite EA hair colour?
none. I always find the tones of ea hairs to just be a little off? i just use custom colours
Favourite EA hair?
well i dont use any EA hairs they look ugly I have default replacements hairs by maryjane
Favourite life stage?
young adult
are you a builder or are you in it for gameplay?
only recently have i been in it for the gameplay. but i use that phrase lightly. i wil forever be a builder at heart.
Are you a CC creator?
barely lol. sometimes i post occasional things for dl. my knowledge of cc making only scratches the surface. i can do the basics like make poses, and custom photos (alongside sims and builds - but who doesnt).
ive tried to get into cc making a couple of times but its so complicated? i have mad respect for cc makers in the community. ill leave that job to the professionals.
Do you have any Simblr friends or a Sim Squad?
back in my day... lol not so much anymore. after i took a fat hiatus a lot of the people i used to regularly talk with moved on.
@pixelevia is still my girlie. she doesnt post much, but we talk all the time off tumblr and regularly get each other excited about sims storylines that are yet to come to life lol.
Do you have any sims merch?
yes.. i am embarrassed to say that when ts4 was release i pre-ordered the deluxe version. it came with a mouse pad.. its long gone now. but i always remember it having a funky smell ??
also i dont wanna talk about the fact i paid an arm and a leg for ts4 (i dont even play it?!) and now its free. forever going to be salty over this fact.
How has your ''Sims Style'' changed throughout your years of playing?
i'd like to think it has! considering my blog is old, i feel like it has grown with me and that reflects in the style of my sims. recently ive been striving for a slightly more realistic looks to my sims
Whats your Origin ID?
i do have an origin id unfortunately. (is it stil even called that?)
i have a lot of opinions on this new ea app bs. but we wont go into that.
Who's your favourite CC creator?
everyone! honestly anyone who has the skills to be able to make beautiful and functional cc are brilliant.
but just to name a couple:
@rollo-rolls
@smallsimmer
@martassimsbook
@sourlemonsimblr
@satellite-sims
How long have you had simblr?
I had to check my email for this.. as of feb 2023, my blog turned 9 years old?! so I guess almost 10 years. (thats kind of mad)
How do you edit your pictures?
depends on the picture! usually for scenery pics I will just sharpen them and adjust the brightness / saturation / contrast.
for sim pics it really just depends on how bothered I can be.
I’ve recently made the change to gshade so that’s been doing all the heavy lifting for me.
I use hunnybee’s moon syrups preset <3
What expansion/ stuff pack is your favourite?
university life!! it was the it was the first expansion pack i got and so it holds a special place in my heart. its also a pretty awesome pack too.
tagged:
@satellite-sims / @smallsimmer / @pixelevia @kitty-pixelz
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Bareback Pad V2 , Fully Bareback saddle option, No Bridle bridle option
Bareback Pad V2 Swatches:
Texture is an edited together modge-podge of leather textures as well as the fur texture from the Vintage Glamour fluffy rug object. Feel free to download and modify the texture, but please credit me <3
Bareback Pad V2 :
Fully Bareback/No saddle (Found in CAS under saddles tab) :
No Bridle (Found in CAS under bridles tab) :
For the best-looking outcome, I recommend pairing the fully bareback and no bridle mods with TheKalino or Shooby's override that make stirrups invisible, as well as Yolo's invisible reins!
#ts4 horse ranch#ts4 cc free#ts4 horse cc#ts4 horse#ts4 cc links#ts4 cc download#ts4 cc#ts4 cc finds#ts4
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EA's leaves are kind of dull, and I personally think TNW's are too bright, so here's my spin on a leaf default + a new mod :-D
Leaf variety mod
There are 4 different leaf textures in the game files but only one is used. I talked with @shastakiss some years(?) ago and she mentioned an unfinished mod Neder started working on to make the leaf use different textures. Unfortunately, Neder couldn't get it to work. Shasta kindly sent me said mod and I handed it over to @lamare-sims last year who of course managed to fix it (thank you so much once again, you're a legend!!)
Note #1: worth mentioning, this mod will only affect leaves that spawn after you've installed the mod! the same goes for my mesh fix included in the default below. Note #2: if you already have this mod in you dl-folder, delete that file and use the one from this download if you're planning on using my default (otherwise my uv-map and texture edit will not work).
Defaults
Replaces all 4 leaf-textures with new, more colorful and less blocky textures. I also edited the "effect"-textures of single leaves (the ones falling from the trees). This default can be used without the mod mentioned above, but then only the "original" texture will be used - see second image.
The leaves that spawns under the tree (the one sims can't rake), it was impossible to make it look good with any of the four textures, so I re-mapped it and gave it it's own texture (256x256px). There's also an optional default for the rake included, I edited a tiny error in the mesh and gave it a texture makeover. I made a separate LOD90-default for the leafpile (meaning: the mesh in neighborhood view) and instead of replacing the textures I repo'd them, meaning that the LOD90 default works with any leaf texture default you might use (it will only be showing one texture in neighborhood view).
Texture sizes are all the same as EA's:
Leaves: 512x512px x4 (my default +1: 256x256px)
Rake: 128x256px
Leaf effects: 32x32px x3
Edited leaf-related cc
I edited Sophie-David's leaf pile pet bed (the mesh) and repo'd it to leafpile_txtr, meaning the mesh will now pick up my default (or any other default you might have for leafpile_txtr, and if none - EA's original texture). The mesh now needs seasons + pets, since it's repo'd. Their recolors are not included, so be sure to download them from the link above if you want them and replace their mesh with mine!
I also edited Shakeshaft's leaf cover mesh (warning T$R) , I repo'd it to one of the leaf textures and made recolors - also repo'd - to the rest of the textures. This mesh and recs now need seasons, this also means that the mesh and recolors* can be used without my default.
*with the exception of rc4, which is repo'd to my custom leaf texture, found in my leaf default.
Recommended mod
I recommend simler90's Gardening Rake Leaf Pile Mod or jfade's leaf pile fix (I have no idea what the difference between those two mods are, they edit the same thing so choose one of them).
Nothing in this download is dependent on each other* so feel free to pick and choose what you want :-) remember you can only have one default for the leaves, meaning that if you have any other default (1, 2, 3, 4) or Shakeshaft's/Sophie-David's original meshes, make sure you remove them before installing my files. Everything has been compressed to reduce file size, as usual. Do let me know if I messed up anywhere!
*with the exception of rc4, see above.
DOWNLOAD: SFS | MTS
Credits: Neder, @lamare-sims (many many thanks!!), @shastakiss, Sophie-David, Shakeshaft and lasty EA.
#ts2cc#sims 2 custom content#sims 2 default replacement#dl: default replacement#dl: object default#dl: mod#dl: object recolor#dl: mesh fixes#omg I ramble so much im so sorry#the funny thing is im really quiet irl and so afraid to be a bother#but on my download posts? i TALK#i just have to explain everything and in great detail#my brain just says i have to do it#it's hard to explain#everytime i make a post here on tumblr i always think back to that one anon - saying they miss my posts#that's literally my most treasured ask hahaha you anon are the reason i dare to post#i swear to god even in the tags i ramble
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Talked about this on my insta the other day and as we’re on the subject of psychology a lot on here my brain keeps wanting to dissect that phone call reaction and why it holds such a momentous space in DL’s head and sort of follows them for some time.
Throughout the beginning chapters of my self insert (might as well be its own novel at this rate it’s my most intricate work to date) DL is both spoken of being highly intelligent and self aware, but then as they find humanity and adjust to Wallace and Gromit’s way of life under this sort of padded umbrella they seem to regress slightly in age, call it decompressing from the abusive childhood or just being able to finally breathe since leaving their home in the non fictional world, whichever, they begin to fall into a comfortable mindset of knowing what to expect with everyone in the household, Wallace especially, and as he’s always been their favourite character, they become naive in a sense around him, forgetting he’s a person as well as a fictional being, they view him I guess like he does Gromit, a constant, supportive entity there to wait on him hand and foot, look after him, make life easier, safe, yes Wallace for the most part seems capable (ish) of caring for himself but as we know, there are times he seems utterly incapable, and I like to imagine DL is the same, especially being relatively young, they had to grow up so fast in their world, being here lets them enjoy some of their childhood and it shows, and throughout the years they kind of forget certain milestones, social and mental, they’ve revert to a default of “I’m safe, I’m with my family, I don’t need to think about anyone else or anything” and in doing so…again, forgets Wallace is a person, an adult, a grown man with his own thoughts and feelings, he isn’t theirs to keep and have at their beckoned call all the time, resulting in a childlike reaction when this is proven to them.
DL when they’re comfortable can become extremely possessive, irrationally so perhaps due to trauma or autism and when at 17, the usual age a teen would be for mental development and social expansion, DL remains younger mentally, I call it the healing process as well as their alternate brain wiring, autistic people are known having some mental and social set backs, DL is no different, especially given their history, it’s not an excuse, it’s fact, and though they’ve retained general knowledge of someone their age range, they don’t think of Wallace as a sexual being, wanting intimacy, relationships beyond a kiss and a cuddle, they almost see him as a giant teddy bear, an inanimate object to have and look at and hold onto, which makes it all the worse when he lies to them and makes out he has to stay longer at the convention for work related purposes instead of relationship reasons. I mean in his mind he doesn’t wanna admit to anybody he’s staying longer to spend time with Campanula and get frisky, even Gromit doesn’t need to know that! But it’s a concept DL has neglected, forgotten, denied their brain registry of so when it hits and suddenly he’s no longer Wallace the silly idiot they want around to protect them and make things better, it shatters what’s left of their regained innocence, something DL clawed back after losing it to their narcissistic, damaged mother. They got it back and in their mind Lady T and Wallace himself smashed it to pieces when she answered the phone, forcing them to grow up all over again before they were willing to. It’s a hard thought to have but I love psychology so you know
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Using JPEG Compression to Improve Neural Network Training
New Post has been published on https://thedigitalinsider.com/using-jpeg-compression-to-improve-neural-network-training/
Using JPEG Compression to Improve Neural Network Training
A new research paper from Canada has proposed a framework that deliberately introduces JPEG compression into the training scheme of a neural network, and manages to obtain better results – and better resistance to adversarial attacks.
This is a fairly radical idea, since the current general wisdom is that JPEG artifacts, which are optimized for human viewing, and not for machine learning, generally have a deleterious effect on neural networks trained on JPEG data.
An example of the difference in clarity between JPEG images compressed at different loss values (higher loss permits a smaller file size, at the expense of delineation and banding across color gradients, among other types of artifact). Source: https://forums.jetphotos.com/forum/aviation-photography-videography-forums/digital-photo-processing-forum/1131923-how-to-fix-jpg-compression-artefacts?p=1131937#post1131937
A 2022 report from the University of Maryland and Facebook AI asserted that JPEG compression ‘incurs a significant performance penalty’ in the training of neural networks, in spite of previous work that claimed neural networks are relatively resilient to image compression artefacts.
A year prior to this, a new strand of thought had emerged in the literature: that JPEG compression could actually be leveraged for improved results in model training.
However, though the authors of that paper were able to obtain improved results in the training of JPEG images of varying quality levels, the model they proposed was so complex and burdensome that it was not practicable. Additionally, the system’s use of default JPEG optimization settings (quantization) proved a barrier to training efficacy.
A later project (2023’s JPEG Compliant Compression for DNN Vision) experimented with a system that obtained slightly better results from JPEG-compressed training images with the use of a frozen deep neural network (DNN) model. However, freezing parts of a model during training tends to reduce the versatility of the model, as well as its broader resilience to novel data.
JPEG-DL
Instead, the new work, titled JPEG Inspired Deep Learning, offers a much simpler architecture, which can even be imposed upon existing models.
The researchers, from the University of Waterloo, state:
‘Results show that JPEG-DL significantly and consistently outperforms the standard DL across various DNN architectures, with a negligible increase in model complexity.
Specifically, JPEG-DL improves classification accuracy by up to 20.9% on some fine-grained classification dataset, while adding only 128 trainable parameters to the DL pipeline. Moreover, the superiority of JPEG-DL over the standard DL is further demonstrated by the enhanced adversarial robustness of the learned models and reduced file sizes of the input images.’
The authors contend that an optimal JPEG compression quality level can help a neural network distinguish the central subject/s of an image. In the example below, we see baseline results (left) blending the bird into the background when features are obtained by the neural network. In contrast, JPEG-DL (right) succeeds in distinguishing and delineating the subject of the photo.
Tests against baseline methods for JPEG-DL. Source: https://arxiv.org/pdf/2410.07081
‘This phenomenon,’ they explain, ‘termed “compression helps” in the [2021] paper, is justified by the fact that compression can remove noise and disturbing background features, thereby highlighting the main object in an image, which helps DNNs make better prediction.’
Method
JPEG-DL introduces a differentiable soft quantizer, which replaces the non-differentiable quantization operation in a standard JPEG optimization routine.
This allows for gradient-based optimization of the images. This is not possible in conventional JPEG encoding, which uses a uniform quantizer with a rounding operation that approximates the nearest coefficient.
The differentiability of JPEG-DL’s schema permits joint optimization of both the training model’s parameters and the JPEG quantization (compression level). Joint optimization means that both the model and the training data are accommodated to each other in the end-to-end process, and no freezing of layers is needed.
Essentially, the system customizes the JPEG compression of a (raw) dataset to fit the logic of the generalization process.
Conceptual schema for JPEG-DL.
One might assume that raw data would be the ideal fodder for training; after all, images are completely decompressed into an appropriate full-length color space when they are run in batches; so what difference does the original format make?
Well, since JPEG compression is optimized for human viewing, it throws areas of detail or color away in a manner concordant with this aim. Given a picture of a lake under a blue sky, increased levels of compression will be applied to the sky, because it contains no ‘essential’ detail.
On the other hand, a neural network lacks the eccentric filters which allow us to zero in on central subjects. Instead, it is likely to consider any banding artefacts in the sky as valid data to be assimilated into its latent space.
Though a human will dismiss the banding in the sky, in a heavily compressed image (left), a neural network has no idea that this content should be thrown away, and will need a higher-quality image (right). Source: https://lensvid.com/post-processing/fix-jpeg-artifacts-in-photoshop/
Therefore, one level of JPEG compression is unlikely to suit the entire contents of a training dataset, unless it represents a very specific domain. Pictures of crowds will require much less compression than a narrow-focus picture of a bird, for instance.
The authors observe that those unfamiliar with the challenges of quantization, but who are familiar with the basics of the transformers architecture, can consider these processes as an ‘attention operation’, broadly.
Data and Tests
JPEG-DL was evaluated against transformer-based architectures and convolutional neural networks (CNNs). Architectures used were EfficientFormer-L1; ResNet; VGG; MobileNet; and ShuffleNet.
The ResNet versions used were specific to the CIFAR dataset: ResNet32, ResNet56, and ResNet110. VGG8 and VGG13 were chosen for the VGG-based tests.
For CNN, the training methodology was derived from the 2020 work Contrastive Representation Distillation (CRD). For EfficientFormer-L1 (transformer-based), the training method from the 2023 outing Initializing Models with Larger Ones was used.
For fine-grained tasks featured in the tests, four datasets were used: Stanford Dogs; the University of Oxford’s Flowers; CUB-200-2011 (CalTech Birds); and Pets (‘Cats and Dogs’, a collaboration between the University of Oxford and Hyderabad in India).
For fine-grained tasks on CNNs, the authors used PreAct ResNet-18 and DenseNet-BC. For EfficientFormer-L1, the methodology outlined in the aforementioned Initializing Models With Larger Ones was used.
Across the CIFAR-100 and fine-grained tasks, the varying magnitudes of Discrete Cosine Transform (DCT) frequencies in the JPEG compression approach was handled with the Adam optimizer, in order to adapt the learning rate for the JPEG layer across the models that were tested.
In tests on ImageNet-1K, across all experiments, the authors used PyTorch, with SqueezeNet, ResNet-18 and ResNet-34 as the core models.
For the JPEG-layer optimization evaluation, the researchers used Stochastic Gradient Descent (SGD) instead of Adam, for more stable performance. However, for the ImageNet-1K tests, the method from the 2019 paper Learned Step Size Quantization was employed.
Above the top-1 validation accuracy for the baseline vs. JPEG-DL on CIFAR-100, with standard and mean deviations averaged over three runs. Below, the top-1 validation accuracy on diverse fine-grained image classification tasks, across various model architectures, again, averaged from three passes.
Commenting on the initial round of results illustrated above, the authors state:
‘Across all seven tested models for CIFAR-100, JPEG-DL consistently provides improvements, with gains of up to 1.53% in top-1 accuracy. In the fine-grained tasks, JPEG-DL offers a substantial performance increase, with improvements of up to 20.90% across all datasets using two different models.’
Results for the ImageNet-1K tests are shown below:
Top-1 validation accuracy results on ImageNet across diverse frameworks.
Here the paper states:
‘With a trivial increase in complexity (adding 128 parameters), JPEG-DL achieves a gain of 0.31% in top-1 accuracy for SqueezeNetV1.1 compared to the baseline using a single round of [quantization] operation.
‘By increasing the number of quantization rounds to five, we observe an additional improvement of 0.20%, leading to a total gain of 0.51% over the baseline.’
The researchers also tested the system using data compromised by the adversarial attack approaches Fast Gradient Signed Method (FGSM) and Projected Gradient Descent (PGD).
The attacks were conducted on CIFAR-100 across two of the models:
Testing results for JPEG-DL, against two standard adversarial attack frameworks.
The authors state:
‘[The] JPEG-DL models significantly improve the adversarial robustness compared to the standard DNN models, with improvements of up to 15% for FGSM and 6% for PGD.’
Additionally, as illustrated earlier in the article, the authors conducted a comparison of extracted feature maps using GradCAM++ – a framework that can highlight extracted features in a visual manner.
A GradCAM++ illustration for baseline and JPEG-DL image classification, with extracted features highlighted.
The paper notes that JPEG-DL produces an improved result, and that in one instance it was even able to classify an image that the baseline failed to identify. Regarding the earlier-illustrated image featuring birds, the authors state:
‘[It] is evident that the feature maps from the JPEG-DL model show significantly better contrast between the foreground information (the bird) and the background compared to the feature maps generated by the baseline model.
‘Specifically, the foreground object in the JPEG-DL feature maps is enclosed within a well-defined contour, making it visually distinguishable from the background.
‘In contrast, the baseline model’s feature maps show a more blended structure, where the foreground contains higher energy in low frequencies, causing it to blend more smoothly with the background.’
Conclusion
JPEG-DL is intended for use in situations where raw data is available – but it would be most interesting to see if some of the principles featured in this project could be applied to conventional dataset training, wherein the content may be of lower quality (as frequently occurs with hyperscale datasets scraped from the internet).
As it stands, that largely remains an annotation problem, though it has been addressed in traffic-based image recognition, and elsewhere.
First published Thursday, October 10, 2024
#2022#2023#2024#Adversarial attacks#ai#ai training#approach#architecture#Article#Artificial Intelligence#attention#aviation#background#barrier#birds#Blue#caltech#Canada#cats#CNN#Collaboration#Color#comparison#complexity#compression#content#data#datasets#Deep Learning#DL
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ANYWAY. These are defaults for the cooking pot and the frying pan using meshes by darasims but their website is cursed so I cannot link to it.
The angle makes it look huge but I think it's normal sized? Let me know if it's weird and I'll resize it again, I don't even know anymore.
They come in gray steel and red polka dotted with black handles, and black and white with wooden handles. You can choose one color for each mesh.
I only took horrible pics of these apparently.
On the website that shall not be linked there are a bunch more swatches for these, so if you want bright blue or green pans head over there and grab you some textures.
Their website is completely fine as far as I can tell btw.
[Download]
Defaults for the forks and spoons with (high poly) meshes from yakfarm.
I just couldn't retexture the original meshes in a satisfying way (for me), so I will have high poly barely visible utensils in my game. As a treat.
They come in red, yellow and black, and you can choose one recolor for each mesh.
[Download]
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EA McKracken Beds, Deposted and Destenciled, Default Replacement OR Standalone Versions
Doing some building without CC or store content (yes, ouch) made me realize how many EA beds I just don't use at all like the McKracken ones. I thought they wouldn't be too bad without the posts or the stencils. Pretty much what I was looking for in the build I was doing.
So I removed the posts, repositioned the knobs, added a specular, and removed most of the stencils. I left a subtle one on preset 5 that I didn't hate. Also bumped up the energy rating from 4 to 6.
And in an attempt to have less clutter in my buy catalog, I did default replacements for them as well.
If you never want to see the EA versions again, download the default replacement versions HERE
If you want the EA versions and my edited versions in your game, download the standalone versions HERE
Hope you enjoy!
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BG Value Counter Defaulted
Can you believe this is the ugly cheap Basegame counter you’re seeing? I know I sure can’t. Anyways, for Day 28 of the Advent Calendar/”Let’s publish a thing every day of December“ event, you get this nifty counter default. It’s a texture only default so it can be used alongside any mesh defaults.
Everything has been compressorized, a preview is included. Non-default pookleted versions will follow soon.
Download Mirror
Credits: @illenlan for the Victorian color actions Michelle, Sunni and Google Images for textures
#ts2cc#ts2 cc#s2cc#s2 cc#sims 2 advent#sims 2 advent calendar#sims 2 advent 2019#sims 2#ts2#s2#my cc#dl:default#dl: default object#historical cc
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WoW Pandaren Hot Air Balloon
Explore the skies in this beautiful hot air balloon from Pandaria! Comes as both a functional object and a default replacement for the NH deco hot air balloon.
Download functional | Download NH Default
Credits:
Blizzard Entertainment
Kate@Parsimonious
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Original TS2 cards aren't great but I was never motivated enough to default those (we're talking ~100 resources here) ...until I saw this 19thc deck 😍. Card effects are still a bit glitchy - can't do nothing about it, but nice cards make it easier to watch.
Antique Poker Cards for TS2
mesh & texture default
and 3 tarnished recolours for "52 Pickup" Card Table [Nightlife EP], optional texture default
✦ Download (Box) | Download (SFS)
(each card) polycount: 56, texture: 256x265 pix
*I've included a mesh-only default for card deck - it's compatible with texture defaults. As far as I know, only @gingerplaysthesims has made one (it's a classic clean white deck, textures are smaller than my DR). There's also this medieval-fantasy style DR here.
And here's my edit of Black Jack's Rest poker table aka Pirate Card Table extracted from Castaway. It is not recolourable so I created a smaller dining table and repositoried the large thing to it:
🏴☠️ Pirate Card Table edit
✦ Download (SFS)
Polycount: ~1200

I might as well add an edit of strip poker table into the mix. This fun object was created by Simslice, for a while I've been using @hugelunatic 's repositoried version but animations bothered me (naked Sim leaves the table and starts spinning that noisy birthday thingy, then gets double panic attack ). @episims kindly helped me remove those anims . If you want it, it's here (SFS)*
*Simslice TOU doesn't allow sharing or editing their stuff, so I guess that includes object fixes (?) I will remove this DL, if asked to do so.
Enjoy!
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Maxis-Match Wallart
I prefer using wallart from the world of The Sims, so here's another collection of conversions and edits:
TS4/TS2 Images on TS3 Meshes:
The rustic board mesh is from Pets EP. Comes as a BGC and a Pets-required version.
The edit of the Ambitions Photo-Arrangement uses images from TS2. It comes as a BGC, and Ambition-required version, as well as a default that replaces the original object.
DL: SimFileshare | Dropbox
Italian Painting Smaller
The painting that came with Monte Vista resized 50% ("halfsize") and 25% ("threequarter"). Because it doesn't always need to cover the entire wall. Basegame compatible and independent packages. The last preset has this weird shine, which is from the original and possibly supposed to be glass.
DL: SimFileshare | Dropbox
Wallart 4to3
Direct conversions: Flowers (large), Fruitbowl, Piazza, Landscape. All with recolourable frames.
The pub-art is not recolourable, but it includes four of the elements separately. It's pre-merged because of shared textures. A CaSt-able version of the entire object can be found on Aroundthesims.
DL: SimFileshare | Dropbox
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