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# SD RESOURCE GOLDMINE
## Preamble
This is a **curated** collection of up to date links and information. Everything else is put into one of the collections in [Archives](#archives) for archival or sorting purposes.
This collection is currently hosted on the [SD Goldmine rentry](https://rentry.org/sdgoldmine), the [SD Updates rentry (3)](https://rentry.org/sdupdates3), and [Github](https://github.com/questianon/sdupdates)
All rentry links are ended with a '.org' here and can be changed to a '.co'. Also, use incognito/private browsing when opening google links, else you lose your anonymity / someone may dox you
## Contact
If you have information/files not on this list, have questions, or want to help, please contact me with details
Socials:
Trip: questianon !!YbTGdICxQOw
Discord: malt#6065
Reddit: u/questianon
Github: https://github.com/questianon
Twitter: https://twitter.com/questianon)
## How to use this resource
The goldmine is ordered from surface-level content to deep level content. If you are a newcomer to Stable Diffusion, it's highly recommended to use start from the beginning.
To prevent redundancies, all items on this list are listed only once. To make sure you find what you're looking for, please use 'Ctrl + F' ('Cmd + F' on macOS).
## Emoji
Items on this list with a :cucumber: next to them represent my top pick for the category. This rating is entirely opinionated and represents what I have personally used and recommend, not what is necessarily "the best".
## Warnings
1. Ckpts/hypernetworks/embeddings and things downloaded from here are ==not== interently safe as of right now. They can be pickled/contain malicious code. Use your common sense and protect yourself as you would with any random download link you would see on the internet.
2. Monitor your GPU temps and increase cooling and/or undervolt them if you need to. There have been claims of GPU issues due to high temps.
## Updates
Don't forget to git pull to get a lot of new optimizations + updates. If SD breaks, go backward in commits until it starts working again
Instructions:
* If on Windows:
1. navigate to the webui directory through command prompt or git bash
a. Git bash: right click > git bash here
b. Command prompt: click the spot in the "url" between the folder and the down arrow and type "command prompt".
c. If you don't know how to do this, open command prompt, type "cd [path to stable-diffusion-webui]" (you can get this by right clicking the folder in the "url" or holding shift + right clicking the stable-diffusion-webui folder)
2. ```git pull```
3. ```pip install -r requirements.txt```
* If on Linux:
1. go to the webui directory
2. ```source ./venv/bin/activate```
a. if this doesn't work, run ```python -m venv venv``` beforehandww
3. ```git pull```
4. ```pip install -r requirements.txt```
## Localizations
French:
* https://rentry.org/stablediffusionfr (contains four localizations: Voldy, sdmodels, sdgoldmine, sdupdates3)
---
## Contents
- [Tutorial](#tutorial)
- [Getting Started](#getting-started)
- [AMD](#amd)
- [Linux](#linux)
- [CPU](#cpu)
- [Apple Silicon](#apple-silicon)
- [Troubleshooting](#troubleshooting)
- [Repositories](#repositories)
- [Prompting](#prompting)
- [Documents](#documents)
- [Prompt Database](#prompt-database)
- [Tags](#tags)
- [Tag Rankings](#tag-rankings)
- [Tag Comparisons](#tag-comparisons)
- [Artist Comparisons](#artist-comparisons)
- [Images](#images)
- [Sites](#sites)
- [Other Comparisons](#other-comparisons)
- [Tips](#tips)
- [Negatives](#negatives)
- [Extensions](#extensions)
- [Wildcards](#wildcards)
- [Collections](#collections)
- [Text Files](#text-files)
- [Plugins for External Apps](#plugins-for-external-apps)
- [Photoshop](#photoshop)
- [Krita](#krita)
- [GIMP](#gimp)
- [Blender](#blender)
- [Downloads](#downloads)
- [Models](#models)
- [Dreambooth Models](#dreambooth-models)
- [Embeddings](#embeddings)
- [Hypernetworks](#hypernetworks)
- [Misc](#misc)
- [Aesthetic Gradients](#aesthetic-gradients)
- [VAEs](#vaes)
- [Dead/Missing](#deadmissing)
- [Training](#training)
- [Guides](#guides)
- [Alternatives]
- [Browser](#browser)
- [FAQ](#faq)
- [Glossary](#glossary)
## Tutorial
Hypertextbook: https://rentry.org/sdhypertextbook This is a tutorial/commentary to guide a newcomer how to setup and use Stable Diffusion to its fullest. It's meant to be a supplementary to SD Goldmine: https://rentry.org/sdgoldmine, but can be used without it.
## Getting Started
- NAI Speedrun: https://rentry.org/nai-speedrun :cucumber: Easy to follow tutorial with pictures that gets you setup with a 1:1 recreation of NovelAI. Takes < 5 minutes (minus the download times)
- Official Guide: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs Official AUTOMATIC1111 webui install guide for NVIDIA (Windows and Linux)
- Voldy: https://rentry.org/voldy In-depth tutorial that's been around for a few months. Can help if the speedrun doesn't work
- Emulate NovelAI: https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/2017 A discussion that takes you through emulating NovelAI. Has troubleshooting in the comments
### AMD
AMD isn't as easy to setup as NVIDIA. I don't have an AMD so I don't know if these guides are good
- :cucumber: OnnxDiffusersUI https://github.com/azuritecoin/OnnxDiffusersUI A compilation of guides. Contains another version of Stable Diffusion
- https://rentry.org/sd-amd-gfx803-gentoo Stable Diffusion with AMD RX580 on Gentoo (and possibly other RX4xx and RX5xx AMD cards)
- https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs Guide from the official AUTOMATIC1111 webui wiki
- https://rentry.org/sdamd Seems to be similar to the one above
- https://rentry.org/sd-nativeisekaitoo
- https://rentry.org/ayymd-stable-diffustion-v1_4-guide
### Linux
Honestly I don't know what goes here. I'll add a guide if I remember
### CPU
CPU is even less documented. I don't use my CPU for SD, so I don't know if these guides are good
- https://rentry.org/cputard
### Apple Silicon
Even less documented
- :cucumber: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon
## Troubleshooting
- Asuka Euler: https://imgur.com/a/DCYJCSX
- Asuka Euler a: https://imgur.com/a/s3llTE5
Why are my outputs black? (Any card)
> Add " --no-half-vae " (remove the quotations) to your commandline args in webui-user.bat
Why are my outputs black? (16xx card)
> Add " --precision full --no-half " (remove the quotations) to your commandline args in webui-user.bat
## Repositories
These are repositories containing general AI knowledge
English:
- :cucumber: /sdg/ https://boards.4channel.org/g/catalog#s=sdg
- :cucumber: /hdg/ https://boards.4chan.org/h/catalog#s=hdg
- :cucumber: /vt/ https://boards.4channel.org/vt/catalog#s=vtai
- :cucumber: Stable Diffusion Reddit https://www.reddit.com/r/StableDiffusion/
Korean:
- Korean wiki: https://arca.live/b/aiart
## Prompting
### Documents
These are documents containing general prompting knowledge
English:
- English Grimoire: https://lunarmimi.net/freebies/novelai-anime-girl-prompt-guide/ An AI prompt guide by Lunar Mimi
- Prompt book: https://openart.ai/promptbook A prompt guide by PublicPrompts and OpenArt
Chinese:
- Chinese scroll collection: https://note.com/sa1p/
- Scroll 1: https://docs.qq.com/doc/DWHl3am5Zb05QbGVs
* Site: https://aiguidebook.top/
* Backup: https://www105.zippyshare.com/v/lUYn1pXB/file.html
* translated + download (not sure if safe): https://mega.nz/folder/MssgiRoT#enJklumlGk1KDEY_2o-ViA
* another backup? https://note.com/sa1p/n/ne71c846326ac
* another backup: https://files.catbox.moe/tmvjd7.zip
- Scroll 2: https://docs.qq.com/doc/DWGh4QnZBVlJYRkly
- Scroll 3 (spooky): https://docs.qq.com/doc/DWEpNdERNbnBRZWNL
- Tome: https://docs.qq.com/doc/DSHBGRmRUUURjVmNM
- Tome 2 (missing link)
- Spellbook: https://docs.qq.com/doc/DWHFOd2hDSFJaamFm
* https://www.bilibili.com/read/cv19903596
* https://www.bilibili.com/read/cv19903680
Japanese:
- Japenese wiki: https://seesaawiki.jp/nai_ch/
- Scroll: https://p1atdev.notion.site/021f27001f37435aacf3c84f2bc093b5?p=f9d8c61c4ed8471a9ca0d701d80f9e28
* author: https://twitter.com/p1atdev_art/
Korean:
- Korean 1: https://arca.live/b/aiart/60392904
- Korean 2: https://arca.live/b/aiart/60466181
### Prompt Database
- Anon's prompt collection for characters from anime series: https://mega.nz/folder/VHwF1Yga#sJhxeTuPKODgpN5h1ALTQg
- :cucumber: Hololive (1): https://rentry.org/3y56t Anon's prompt collection to create Hololive girls
- Hololive (2): https://rentry.org/q8x5y Another anon's prompt collection to create Hololive girls
- Krea AI prompt database: https://github.com/krea-ai/open-prompts
- Prompt search (1): https://www.ptsearch.info/home/
- Prompt search (2): http://novelai.io/
- 4chan sdg prompt search: https://desuarchive.org/g/search/text/masterpiece/
- 4chan hdg prompt search: https://archived.moe/_/search/text/masterpiece/
- 4chan vt prompt search: https://archive.alice.al/vt/search/text/masterpiece/
- PublicPrompts: https://publicprompts.art/ Database of prompts and dreambooth models
- Discord: https://discord.com/invite/jvQJFFFx26
### Tips
- Usage of spoken squiggle: https://twitter.com/AI_Illust_000/status/1588838369593032706
### Negatives
- Big negative: https://pastes.io/x9crpin0pq
- Fat negative: https://www.reddit.com/r/WaifuDiffusion/comments/yrpovu/img2img_from_my_own_loose_sketch/
- Big negative prompt that's apparently pretty good: https://files.catbox.moe/gaarzy.png
## Tags
- :cucumber: Danbooru tags: https://danbooru.donmai.us/wiki_pages/tag_groups
- Danbooru artist tags: https://danbooru.donmai.us/artists
### Tag Rankings
- :cucumber: General tag effects on img: https://pastebin.com/GurXf9a4
- Prompt rankings: https://files.catbox.moe/hqs4yf.pdf (reupload from https://docs.google.com/document/d/1Vw-OCUKNJHKZi7chUtjpDEIus112XBVSYHIATKi1q7s/edit?usp=sharing)
- Ranked and classified danbooru tags, sorted by amount of pictures, and ranked by type and quality (WD): https://cdn.discordapp.com/attachments/1029235713989951578/1038585908934483999/Kopi_af_WAIFU_MASTER_PROMPT_DANBOORU_LIST.pdf
### Tag Comparisons
- Emoji/emoticon comparisons: https://docs.google.com/spreadsheets/d/1aTYr4723NSPZul6AVYOX56CVA0YP3qPos8rg4RwVIzA/edit#gid=1453378351
- Emojis are one character that can portray multiple concepts
- 🕊💥😱😲😶🙄 leads to https://files.catbox.moe/biy755.png
- 🌷🕊🗓👋😛👋 leads to https://files.catbox.moe/7khxe0.png
- Class comparison: https://files.catbox.moe/c1yfvf.jpg (MASSIVE IMAGE)
- Smaller: https://files.catbox.moe/vntwk1.jpg, https://files.catbox.moe/t8teqj.jpg
- Prompts: https://pastebin.com/SEb876pq
- Clothing comparison: https://files.catbox.moe/z3n66e.jpg
- "Punk" Comparison: https://files.catbox.moe/se3533.png
- NAI tag experiments (has artists): https://zele.st/NovelAI/
- Pre-modern art: https://www.artrenewal.org/Museum/Search#/
- View what SD thinks is a tag: https://dict.latentspace.observer/
## Comparisons:
### Artists
#### Images:
- :cucumber: Comparison (1): https://imgur.com/a/hTEUmd9
- Alt: https://i.redd.it/llok0ydfhsu91.jpg (https://reddit.com/r/NovelAi/comments/y879x1/i_made_an_experiment_with_different_artists_here/)
- Alt: https://files.catbox.moe/9wgqx9.jpg
- Comparison (2): https://files.catbox.moe/kulo8m.jpg
- OCR to get the artists: https://pastebin.com/JB9QcnLZ
- Comparison (3): https://files.catbox.moe/y6bff0.rar
- Comparison (4) (Stable Diffusion v1.5, Waifu Diffusion v1.3, Trinart): https://imgur.com/a/ADPHh9q
- Comparison (5) (3gb, 90x90 different artist combinations on untampered WD v1.3.)
- One image: https://mega.nz/file/ACtigCpD#f9zP9h1AU_0_4DPsBnvdhnUYdQmIJMb4pyc6PJ4J-FU
- Individual images: https://mega.nz/file/YPsT1TDJ#XAayj1jYmRSIyzJ-A1pKB8HyxeDib4a4xuo2lxMx7oA
- Comparison (6) (Berry Mix, Clip 2): https://imgur.com/a/zzXqLPc
- Comparison (7) (Berry Mix, Clip 1): https://imgur.com/a/TDGBAlc
- Comparison (8) of using and not using "by artist [first name] [last name]": https://drive.google.com/drive/folders/1qATxaaOb97fxgm5QY8MXIoMAX3FI6WZ0?usp=sharing
- https://www.reddit.com/r/StableDiffusion/comments/yiny15/by_artist_firstname_lastname_really_does_makes_a/
- Comparisons (9) of 421 different artists in different models.
- Berry Mix: https://mega.nz/file/8OlUkapK#4XpOm4kOcw3LOJZeSuSZbO89tRrAuRO_RSfmu_RqzWA
- SD v1.5 (CLIP 1): https://mega.nz/file/dDU2WB5B#wFsVS0RUX6YK2IJiOtQ5nI7sMMrWEqZg2r3fZrCQ4OI
- SD v1.5 (CLIP 2): https://mega.nz/file/lS1iyQCT#zJhV6URsT01QJpYdqbf3Jubhyi09rXn8FFT-HaXvgd0
#### Sites:
- Big Titty Anon's List of Artists (contains some notes): https://rentry.org/anime_and_titties
- :cucumber: Study (1) (SD 1.4): https://rentry.org/artists_sd-v1-4
- Anon's analysis of artists: https://rentry.org/oadb5
- Study (2): https://www.urania.ai/top-sd-artists
- Study (3) (SD 1.5): https://docs.google.com/spreadsheets/d/1SRqJ7F_6yHVSOeCi3U82aA448TqEGrUlRrLLZ51abLg/htmlview#
- Study (4): https://sdartists.app/
- Study (5) (has multiple views): https://proximacentaurib.notion.site/e28a4f8d97724f14a784a538b8589e7d?v=ab624266c6a44413b42a6c57a41d828c
- Study (6): https://mpost.io/midjourney-and-dall-e-artist-styles-dump-with-examples-130-famous-ai-painting-techniques/
- Study (7): https://sgreens.notion.site/sgreens/4ca6f4e229e24da6845b6d49e6b08ae7
- Study (8): https://arthive.com/artists
- Study (9): https://artiststostudy.pages.dev/
- Study (10) (414 artists, Berry Mix): https://mega.nz/file/MX00jb6I#sWbvlt8AhH0B2CZTJJVmfz-LTZIB9O0sLYqjoWbvwN0
- Study (11) (558 artists recognized by SD): https://decentralizedcreator.com/list-of-artists-supported-by-stable-diffusion/
- C
### Other Comparisons
- :cucumber: Anything v3 (all samplers and clip skip, nsfw): https://ikaridevgit.github.io/Clip-skip_sampler-sd-anything-comparison/
- :cucumber: Anythingv3 comparison 2 (all samplers and clip skip, sfw): https://ikaridevgit.github.io/sampler-sd-anything-comparison/
- SD 1.4 vs 1.5: https://postimg.cc/gallery/mhvWsnx
- NAI vs Anything: https://www.bilibili.com/read/cv19603218
- Model merge (1): https://files.catbox.moe/rcxqsi.png
- Model merge (2): https://files.catbox.moe/vgv44j.jpg
- Samplers vs Steps (1): https://files.catbox.moe/csrjt5.jpg
- Samplers vs Steps (2): https://i.redd.it/o440iq04ocy91.jpg (https://www.reddit.com/r/StableDiffusion/comments/ynt7ap/another_new_sampler_steps_comparison/)
- Samplers vs Steps (3): https://i.redd.it/ck4ujoz2k6y91.jpg (https://www.reddit.com/r/StableDiffusion/comments/yn2yp2/automatic1111_added_more_samplers_so_heres_a/)
- Samplers vs Steps (4): https://files.catbox.moe/u2d6mf.png
- Samplers vs Steps (5): https://www.reddit.com/r/StableDiffusion/comments/xmwcrx/a_comparison_between_8_samplers_for_5_different/
- Samplers vs Steps (6): https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/4363
- Samplers: https://files.catbox.moe/5hfl9h.png
- VAEs (none, SD, WD, Anything, NAI): https://i.4cdn.org/g/1669056754991690.png
- Clip Skip comparison for Anything.ckpt (missing)
### Extensions
Extensions are searchable through AUTOMATIC1111's extension browser
### Wildcards
#### Collections
- Collection (1): https://rentry.org/sdWildcardLists
- https://desuarchive.org/g/thread/89006003#89007479
- Collection (2): https://cdn.lewd.host/EtbKpD8C.zip
- Collection (3): https://github.com/Lopyter/stable-soup-prompts/tree/main/wildcards
- Collection (4): https://github.com/Lopyter/sd-artists-wildcards
- Artist wildcard text files split by category according to Automatic1111's csv file.
- Collection (5): https://github.com/jtkelm2/stable-diffusion-webui-1/tree/master/scripts/wildcards
- :cucumber: Collection (6): https://rentry.org/NAIwildcards
- Zipped Collection: https://files.catbox.moe/s7expb.7z
- :cucumber: Collection (7): https://files.catbox.moe/ipqljx.zip 483 txt files, huge dump (for Danbooru trained models)
- old 329 version: https://files.catbox.moe/qy6vaf.zip
- old 314 version: https://files.catbox.moe/11s1tn.zip
- Collection (8): https://www.mediafire.com/file/iceamfawqhn5kvu/wildcards.zip/file
- Collection (9): https://files.catbox.moe/88s7bf.zip Clothing
- :cucumber: Collection (10): https://files.catbox.moe/qyybik.zip
- Collection (11): https://cdn.lewd.host/4Ql5bhQD.7z
- :cucumber: Collection (12): https://files.catbox.moe/hz5mom.zip Danbooru tag group wildcard dump organized into folders
- Collection (13): https://github.com/jtkelm2/stable-diffusion-webui-1/tree/main/scripts/wildcards
#### Text Files
- faces https://rentry.org/pu8z5
- focus https://rentry.org/rc3dp
- poses https://rentry.org/hkuuk
- times https://rentry.org/izc4u
- views https://rentry.org/pv72o
- Clothing: https://pastebin.com/EyghiB2F
- 316 colors list: https://pastebin.com/s4tqKB8r
- 82 colors list: https://pastebin.com/kiSEViGA
- Backgrounds: https://pastebin.com/FCybuqYW
- More clothing: https://pastebin.com/DrkG1MRw
- Styles: https://pastebin.com/71HTfsML
- Word list (small): https://cdn.lewd.host/EtbKpD8C.zip
- Emotions/expressions: https://pastebin.com/VVnH2b83
- Clothing: https://pastebin.com/cXxN1fJw
- Cum: https://rentry.org/hoom5
- Locations: https://pastebin.com/R6ugwd2m
- Clothing/outfits: https://pastebin.com/Xhhnyfvj
- Locations: https://pastebin.com/uyDJMnvC
- Clothes: https://pastebin.com/HaL3rW3j
- Color (has nouns): https://pastebin.com/GTAaLLnm
- Artists: https://pastebin.com/1HpNRRJU
- Animals: https://pastebin.com/aM4PJ2YY
- Food: https://pastebin.com/taFkYwt9
- Characters: https://files.catbox.moe/xe9qj7.txt
- Backgrounds: https://pastebin.com/gVue2q8g
- Outfits: https://files.catbox.moe/y75qda.txt
- Settings + Minerals: https://pastebin.com/9iznuYvQ
- Hairstyles: https://pastebin.com/X39Kzxh7
- Hairstyles 2: https://pastebin.com/bRWu1Xvv
- Danbooru Poses: https://pastebin.com/RgerA8Ry
- Outfits: https://pastebin.com/Z9aHVpEy
- Poses: https://rentry.org/m9dz6
- Clothes: https://pastebin.com/4a0BscGr
- sex positions: https://files.catbox.moe/tzibuf.txt
- Angles: https://pastebin.com/T8w8HEED
- Poses: https://pastebin.com/bgkunjw2
- Hairstyles: https://pastebin.com/GguTseaR
- Actresses: https://raw.githubusercontent.com/Mylakovich/SD-wildcards/main/wildcards/actress.txt
- Punks: https://pastebin.com/rw2fPSHe
- Curated RPG Character classes (based on TTRPG character class names): https://pastebin.com/6ujb7NNe
- Hairstyle: https://pastebin.com/Ux6SdTdp
- wildcardNames.txt generation script: https://files.catbox.moe/c1c4rx.py
- Another script: https://files.catbox.moe/hvly0p.rar
- Script: https://gist.github.com/h-a-te/30f4a51afff2564b0cfbdf1e490e9187
- UMI AI: https://www.patreon.com/posts/umi-ai-official-73544634
- Check the presets folder for a lot of dumps
## Plugins for External Apps
I didn't check the safety of these plugins, but you can check the open-source ones yourself
### Photoshop
- Defuser: https://internationaltd.github.io/defuser/ Photoshop/Krita, free, features listed inside
- https://github.com/internationalTD/defuser
- IvyPhotoshopDiffusion: https://github.com/Invary/IvyPhotoshopDiffusion Photoshop, free, features listed inside
- AestusAi: Photoshop, free, closed source (might change later), website wip
- https://twitter.com/AestusAi
- https://discord.gg/U6DG9zthvJ
- FlyingDog: https://www.flyingdog.de/sd/ Photoshop, paid, closed source
### Krita
- :cucumber: auto-sd-paint-ext: https://github.com/Interpause/auto-sd-paint-ext Free, features listed inside
- FlyingDog: https://www.flyingdog.de/sd/en/ free
- Github: https://github.com/imperator-maximus/stable-diffusion-krita
### GIMP
- Gimp Stable Diffusion: https://github.com/blueturtleai/gimp-stable-diffusion free, open source, features listed inside
### Blender
- Dream Textures: https://github.com/carson-katri/dream-textures Free, Stable Diffusion built-in to the Blender shader editor
- AI Render: https://github.com/benrugg/AI-Render Free, Stable Diffusion in Blender
---
Unsorted but update was pushed
Prompt word/phrase collection: https://huggingface.co/spaces/Gustavosta/MagicPrompt-Stable-Diffusion/raw/main/ideas.txt
* Anon says that "8k, 4k, (highres:1.1), best quality, (masterpiece:1.3)" leads to nice details
According to an anon, the vae seems to be provide saturation/contrast and some line thickness (vae-ft-ema-56000-ema-pruned, https://huggingface.co/stabilityai/sd-vae-ft-ema-original/blob/main/vae-ft-ema-560000-ema-pruned.ckpt). Example (left with 56k, right with anything vae): https://i.4cdn.org/h/1669086238979897s.jpg
Japanese prompt generator: https://magic-generator.herokuapp.com/
Build your prompt (chinese): https://tags.novelai.dev/
NAI Prompts: https://seesaawiki.jp/nai_ch/d/%c8%c7%b8%a2%a5%ad%a5%e3%a5%e9%ba%c6%b8%bd/%a5%a2%a5%cb%a5%e1%b7%cf
Prompt similarity tester: https://gitlab.com/azamshato/simula
* Apparently a good subwiki: https://seesaawiki.jp/nai_ch/d/%c7%ed%a4%ae%a5%b3%a5%e9%a5%c6%a5%af
Multilingual study: https://jalonso.notion.site/Stable-Diffusion-Language-Comprehension-5209abc77a4f4f999ec6c9b4a48a9ca2
Aesthetic value (imgs used to train SD): https://laion-aesthetic.datasette.io/laion-aesthetic-6pls
Clip retrieval (text to CLIP to search): https://rom1504.github.io/clip-retrieval/
Aesthetic scorer python script: https://github.com/grexzen/SD-Chad
Another scorer: https://github.com/christophschuhmann/improved-aesthetic-predictor
Supposedly another one?: https://developer.huawei.com/consumer/en/hiai/engine/aesthetic-score
Another Aesthetic Scorer: https://github.com/tsngo/stable-diffusion-webui-aesthetic-image-scorer
NAI to webui translator (not 100% accurate): https://seesaawiki.jp/nai_ch/d/%a5%d7%a5%ed%a5%f3%a5%d7%a5%c8%ca%d1%b4%b9
Prompt editing parts of image but without using img2img/inpaint/prompt editing guide by anon: https://files.catbox.moe/fglywg.JPG
Tip Dump: https://rentry.org/robs-novel-ai-tips
Tips: https://github.com/TravelingRobot/NAI_Community_Research/wiki/NAI-Diffusion:-Various-Tips-&-Tricks
Info dump of tips: https://rentry.org/Learnings
Outdated guide: https://rentry.co/8vaaa
Tip for more photorealism: https://www.reddit.com/r/StableDiffusion/comments/yhn6xx/comment/iuf1uxl/
* TLDR: add noise to your img before img2img
NAI prompt tips: https://docs.novelai.net/image/promptmixing.html
NAI tips 2: https://docs.novelai.net/image/uifunctionalities.html
Masterpiece vs no masterpiece: https://desuarchive.org/g/thread/89714899#89715160
DPM-Solver Github: https://github.com/LuChengTHU/dpm-solver
>Prompt: 1girl, pointy ears, white hair, medium hair, ahoge, hair between eyes, green eyes, medium:small breasts, cyberpunk, hair strand, dynamic angle, cute, wide hips, blush, sharp eyes, ear piercing, happy, hair highlights, multicoloured hair, cybersuit, cyber gas mask, spaceship computers, ai core, spaceship interior
>Negative prompt: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, animal ears, panties
>
>Original image:
>Steps: 50, Sampler: DDIM, CFG scale: 11, Seed: 3563250880, Size: 1024x1024, Model hash: cc024d46, Denoising strength: 0.57, Clip skip: 2, ENSD: 31337, First pass size: 512x512
>NAI/SD mix at 0.25
Deep Danbooru: https://github.com/KichangKim/DeepDanbooru
Demo: https://huggingface.co/spaces/hysts/DeepDanbooru
Embedding tester: https://huggingface.co/spaces/sd-concepts-library/stable-diffusion-conceptualizer
Collection of Aesthetic Gradients: https://github.com/vicgalle/stable-diffusion-aesthetic-gradients/tree/main/aesthetic_embeddings
Euler vs. Euler A: https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/2017#discussioncomment-4021588
* Euler: https://cdn.discordapp.com/attachments/1036718343140409354/1036719238607540296/euler.gif
* Euler A: https://cdn.discordapp.com/attachments/1036718343140409354/1036719239018590249/euler_a.gif
According to anon: DPM++ should converge to result much much faster than Euler does. It should still converge to the same result though.
(info by anon) According to https://arxiv.org/pdf/2211.01095.pdf, the M samplers are better than the S samplers
Seed hunting:
* By nai speedrun asuka imgur anon:
>made something that might help the highres seed/prompt hunters out there. this mimics the "0x0" firstpass calculation and suggests lowres dimensions based on target higheres size. it also shows data about firstpass cropping as well. it's a single file so you can download and use offline. picrel.
>https://preyx.github.io/sd-scale-calc/
>view code and download from
>https://files.catbox.moe/8ml5et.html
>for example you can run "firstpass" lowres batches for seed/prompt hunting, then use them in firstpass size to preserve composition when making highres.
Script for tagging (like in NAI) in AUTOMATIC's webui: https://github.com/DominikDoom/a1111-sd-webui-tagcomplete
Danbooru Tag Exporter: https://sleazyfork.org/en/scripts/452976-danbooru-tags-select-to-export
Another: https://sleazyfork.org/en/scripts/453380-danbooru-tags-select-to-export-edited
Tags (latest vers): https://sleazyfork.org/en/scripts/453304-get-booru-tags-edited
Basic gelbooru scraper: https://pastebin.com/0yB9s338
Scrape danbooru images and tags like fetch.py for e621 for tagging datasets: https://github.com/JetBoom/boorutagparser
UMI AI: https://www.patreon.com/klokinator
* Discord: https://discord.gg/9K7j7DTfG2
* Author is looking for help filling out and improving wildcards
* Ex: https://cdn.discordapp.com/attachments/1032201089929453578/1034546970179674122/Popular_Female_Characters.txt
* Author: Klokinator#0278
* Looking for wildcards with traits and tags of characters
* Code: https://github.com/Klokinator/UnivAICharGen/
Random Prompts: https://rentry.org/randomprompts
Python script of generating random NSFW prompts: https://rentry.org/nsfw-random-prompt-gen
Prompt randomizer: https://github.com/adieyal/sd-dynamic-prompting
Prompt generator: https://github.com/h-a-te/prompt_generator
* apparently UMI uses these?
http://dalle2-prompt-generator.s3-website-us-west-2.amazonaws.com/
https://randomwordgenerator.com/
funny prompt gen that surprisingly works: https://www.grc.com/passwords.htm
Unprompted extension released: https://github.com/ThereforeGames/unprompted
* HAS ADS
StylePile: https://github.com/some9000/StylePile
script that pulls prompt from Krea.ai and Lexica.art based on search terms: https://github.com/Vetchems/sd-lexikrea
randomize generation params for txt2img, works with other extensions: https://github.com/stysmmaker/stable-diffusion-webui-randomize
Ideas for when you have none: https://pentoprint.org/first-line-generator/
Colors: http://colorcode.is/search?q=pantone
* Image editor for SD for inpainting/outpainting/txt2img/img2img: https://github.com/BlinkDL/Hua
* https://www.painthua.com/ - New GUI focusing on Inpainting and Outpainting
* https://www.reddit.com/r/StableDiffusion/comments/ygp0iv/painthuacom_new_gui_focusing_on_inpainting_and/
* To use it with webui add this to webui-user.bat: --api --cors-allow-origins=https://www.painthua.com
* Vid: https://www.bilibili.com/video/BV16e4y1a7ne/
* CLIPSeg (text-based inpainting): https://huggingface.co/spaces/nielsr/text-based-inpainting
External masking for inpainting (no more brush or WIN magnifier): https://github.com/dfaker/stable-diffusion-webui-cv2-external-masking-script
anon: theres a commanda rg for adding basic painting, its '--gradio-img2img-tool'
Script collection: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts
Prompt matrix tutorial: https://gigazine.net/gsc_news/en/20220909-automatic1111-stable-diffusion-webui-prompt-matrix/
Animation Script: https://github.com/amotile/stable-diffusion-studio
Animation script 2: https://github.com/Animator-Anon/Animator
Video Script: https://github.com/memes-forever/Stable-diffusion-webui-video
Masking Script: https://github.com/dfaker/stable-diffusion-webui-cv2-external-masking-script
XYZ Grid Script: https://github.com/xrpgame/xyz_plot_script
Vector Graphics: https://github.com/GeorgLegato/Txt2Vectorgraphics/blob/main/txt2vectorgfx.py
Txt2mask: https://github.com/ThereforeGames/txt2mask
Prompt changing scripts:
* https://github.com/yownas/seed_travel
* https://github.com/feffy380/prompt-morph
* https://github.com/EugeoSynthesisThirtyTwo/prompt-interpolation-script-for-sd-webui
* https://github.com/some9000/StylePile
Interpolation script (img2img + txt2img mix): https://github.com/DiceOwl/StableDiffusionStuff
* https://www.reddit.com/r/StableDiffusion/comments/ycgfgo/interpolate_script/
img2tiles script: https://github.com/arcanite24/img2tiles
Script for outpainting: https://github.com/TKoestlerx/sdexperiments
Img2img animation script: https://github.com/Animator-Anon/Animator/blob/main/animation_v6.py
* Can use in txt2img mode and combine with https://film-net.github.io/ for content aware interpolation
Google's interpolation script: https://github.com/google-research/frame-interpolation
Deforum guide: https://docs.google.com/document/d/1RrQv7FntzOuLg4ohjRZPVL7iptIyBhwwbcEYEW2OfcI/edit
Animation Guide: https://rentry.org/AnimAnon#introduction
Rotoscope guide: https://rentry.org/AnimAnon-Rotoscope
Chroma key after SD (fully prompted?): https://files.catbox.moe/d27xdl.gif
* Cool mmd vid (20 frames, I think it uses chroma key): https://files.catbox.moe/jtp14x.mp4
Prompt travel: https://github.com/Kahsolt/stable-diffusion-webui-prompt-travel
* Example (30 min, 5k steps, 124 images): https://i.4cdn.org/g/1668879797247188.webm
More animation guide: https://www.reddit.com/r/StableDiffusion/comments/ymwk53/better_frame_consistency/
Animation guide + example for face: https://www.reddit.com/r/StableDiffusion/comments/ys434h/animating_generated_face_test/
Something for aninmation: https://github.com/nicolai256/Few-Shot-Patch-Based-Training
Animating faces by anon:
* https://github.com/yoyo-nb/Thin-Plate-Spline-Motion-Model
* How to Animate faces from Stable Diffusion!
``` python
workflow looks like this:
>generate square portrait (i use 1024 for this example)
>create or find driving video
>crop driving video to square with ffmpeg, making sure to match the general distance from camera and face position(it does not do well with panning/zooming video or too much head movement)
>run thin-plate-spline-motion-model
>take result.mp4 and put it into Video2x (Waifu2x Caffe)
>put into flowframes for 60fps and webm
>if you don't care about upscaling it makes 256x256 pretty easily
>an extension for webui could probably be made by someone smarter than me, its a bit tedious right now with so many terminals
here is a pastebin of useful commands for my workflow
https://pastebin.com/6Y6ZK8PN
```
Another person who used it: https://www.reddit.com/r/StableDiffusion/comments/ynejta/stable_diffusion_animated_with_thinplate_spline/
Img2img megalist + implementations: https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/2940
Runway inpaint model: https://huggingface.co/runwayml/stable-diffusion-inpainting
* Tutorial from their github: https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion
Inpainting Tips: https://www.pixiv.net/en/artworks/102083584
Rentry version: https://rentry.org/inpainting-guide-SD
Extensions:
Artist inspiration: https://github.com/yfszzx/stable-diffusion-webui-inspiration
* https://huggingface.co/datasets/yfszzx/inspiration
* delete the 0 bytes folders from their dataset zip or you might get an error extracting it
History: https://github.com/yfszzx/stable-diffusion-webui-images-browser
Collection + Info: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Extensions
Deforum (video animation): https://github.com/deforum-art/deforum-for-automatic1111-webui
* Math: https://docs.google.com/document/d/1pfW1PwbDIuW0cv-dnuyYj1UzPqe23BlSLTJsqazffXM/edit
* https://www.desmos.com/calculator/njw3uckjlo
* https://www.desmos.com/calculator/5nizby2zbn
* Blender camera animations to deforum: https://github.com/micwalk/blender-export-diffusion
* Tutorial: https://www.youtube.com/watch?v=lztn6qLc9UE
* Diffusion_cadence variation value comparison: https://www.reddit.com/r/StableDiffusion/comments/yh3dno/diffusion_cadence_variation_testing_values_to/
Auto-SD-Krita: https://github.com/Interpause/auto-sd-paint-ext
ddetailer (object detection and auto-mask, helpful in fixing faces without manually masking): https://github.com/dustysys/ddetailer
Aesthetic Gradients: https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients
Autocomplete Tags: https://github.com/DominikDoom/a1111-sd-webui-tagcomplete
Prompt Randomizer: https://github.com/adieyal/sd-dynamic-prompting
Wildcards: https://github.com/AUTOMATIC1111/stable-diffusion-webui-wildcards/
Wildcard script + collection of wildcards: https://app.radicle.xyz/seeds/pine.radicle.garden/rad:git:hnrkcfpnw9hd5jb45b6qsqbr97eqcffjm7sby
Symmetric image script (latent mirroring): https://github.com/dfaker/SD-latent-mirroring
* Comparisons:
* No mirroring - https://files.catbox.moe/blbnwt.png (embed)
* Alternate Steps - Roll Channels - fraction 0.2 - https://files.catbox.moe/dprlxr.png (embed)
* Alternate Steps - Roll Channels - fraction 0.3 - https://files.catbox.moe/7az24b.png
macOS Finder right-click menu extension: https://github.com/anastasiuspernat/UnderPillow
Search danbooru for tags directly in AUTOMATIC1111's webui extension: https://github.com/stysmmaker/stable-diffusion-webui-booru-prompt
* Supports post IDs and all the normal Danbooru search syntax
Clip interrogator: https://colab.research.google.com/github/pharmapsychotic/clip-interrogator/blob/main/clip_interrogator.ipynb
2 (apparently better than AUTO webui's interrogate): https://huggingface.co/spaces/pharma/CLIP-Interrogator, https://github.com/pharmapsychotic/clip-interrogator
Enchancement Workflow with SD Upscale and inpainting by anon: https://pastebin.com/8WVyDxt9
Upscaling + detail with SD Upscale: https://www.reddit.com/r/StableDiffusion/comments/xkjjf9/upscale_to_huge_sizes_and_add_detail_with_sd/?context=3
Inpainting a face by anon:
>send the picture to inpaint
>modify the prompt to remove anything related to the background
>add (face) to the prompt
>slap a masking blob over the whole face
>mask blur 10-16 (may have to adjust after), masked content: original, inpaint at full resolution checked, full resolution padding 0, sampling steps ~40-50, sampling method DDIM, width and height set to your original picture's full res
>denoising strength .4-.5 if you want minor adjustments, .6-.7 if you want to really regenerate the entire masked area
>let it rip
* AUTOMATIC1111 webui modification that "compensates for the natural heavy-headedness of sd by adding a line from 0 -> sqrt(2) over the 0 -> 74 token range (anon)" (evens out the token weights with a linear model, helps with the weight reset at 75 tokens (?))
* https://rentry.org/wkk37
**VAEs**
Tutorial + how to use on ALL models (applies for the NAI vae too): https://www.reddit.com/r/StableDiffusion/comments/yaknek/you_can_use_the_new_vae_on_old_models_as_well_for/
* SD 1.4 Anime styled: https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/vae/kl-f8-anime.ckpt
* https://twitter.com/haruu1367/status/1579286947519864833
* Stability AI's VAE: https://huggingface.co/stabilityai
* Comparisons: https://huggingface.co/stabilityai/sd-vae-ft-mse-original
* an anon recommended vae-ft-mse-840k-ema-pruned: https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt, https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main
* Trinart's vae (the autencoder fix): https://huggingface.co/naclbit/trinart_characters_19.2m_stable_diffusion_v1
**Booru tag scraping:**
* https://sleazyfork.org/en/scripts/451098-get-booru-tags
* script to run in browser, hover over pic in Danbooru and Gelbooru
* https://rentry.org/owmmt
* another script
* https://pastecode.io/s/jexs5p9c
* another script, maybe pickle
* press tilde on dan, gel, e621
* https://textedit.tools/
* if you want an online alternative
* https://github.com/onusai/grab-booru-tags
* works with e621, dev will try to get it to work with rule34.xxx
* https://pastecode.io/s/jexs5p9c
* https://pastecode.io/s/61owr7mz
* Press ] on the page you want the tags from
* Another script: https://pastecode.io/s/q6fpoa8k
* Another: https://pastecode.io/s/t7qg2z67
* Github for scraper: https://github.com/onusai/grab-booru-tags
* Tag copier: https://greasyfork.org/en/scripts/453443-danbooru-tag-copier
**Creating fake animes:**
* https://rentry.org/animedoesnotexist
* Prompt tag comparisons: https://i.4cdn.org/h/1668114368781212.jpg, https://i.4cdn.org/h/1668119420557795.jpg, https://i.4cdn.org/h/1668126729971806.jpg
Some observations by anon:
1. Removing the spaces after the commas changed nothing
2. Using "best_quality" instead of "best_quality" did change the image. masterpiece,best_quality,akai haato but she is a spider,blonde hair,blue eyes
3. Changing all of the spaces into underscores changed the image somewhat substantially.
4. Replacing those commas with spaces changed the image again.
Reduce bias of dreambooth models: https://www.reddit.com/r/StableDiffusion/comments/ygyq2j/a_simple_method_explained_in_the_comments_to/?utm_source=share&utm_medium=web2x&context=3
Landscape tutorial: https://www.reddit.com/r/StableDiffusion/comments/yivokx/landscape_matte_painting_with_stable_diffusion/
* https://preview.redd.it/18v93697u8x91.jpg?width=1000&format=pjpg&auto=webp&s=d31fb3efae70ec5e7c9f02befa04a94371b1bbf6
Anon's process:
- Start with a prompt to get the general scenario you have in mind, here I was just looking to seggs the rrat so I used the embed here >>36743515 and described some of her character features to help steer the AI (in this case hair details, sharp teeth, her mouse ears and tail) as well as making her be naked and having vaginal sex
- Generate images at a default resolution size (512 by X pixels) at a relative standard number of steps (30 in this case) and keep going until I find an image thats in a position I like (in this case seed 1920052602 gave me a very nice one to work with, as you can see here https://files.catbox.moe/8z2mua.png (embed))
- Copy the seed of the image and paste it into the Seed field on the Web UI, which will maintain the composition of the image. I then double the resolution I was working with (so here I went from 512 by 768 to 1024 by 1536) and checkmark the "Hires fix option" underneath the width and height sliders. Hires fix is the secret sauce on the Web UI that helps maintain the detail of the image when you are upscaling the resolution of the image, and combined with that Upscale latent space option I mentioned earlier it really enhances the detail. With that done you can generate the upscaled image.
- Play around with the weights of the prompt tags and add things to the negatives to fix little things like hair being too red, tummy too chubby, etc. You have to be careful with adding new tags because that can drastically change the image
Anon's booba process:
>you can generate a perfect barbie doll anatomy but more accurate chuba in curated
>then switch to full, img2img it on the same seed after blotching nipples on it like a caveman, and hit generate
Boooba v2:
1. Generate whatever NSFW proompt you were thinking of using the CURATED model, yes, I know that sounds ridiculous https://files.catbox.moe/b6k6i4.png (embed)
2. Inpaint the naughty bits back in. You REALLY don't have to do a good job of this: https://files.catbox.moe/yegjrw.png (embed)
3. Switch to Full after clicking "Save", set Strength to 0.69, Noise to 0.17, and make sure you copy/paste the same seed # back in. Hit Generate: https://files.catbox.moe/8dag88.png (embed)
Compare that with what you'd get trying to generate the same exact proompt using the Full model purely txt2img on the same seed: https://files.catbox.moe/ytfdv3.png (embed)
Img2img rotoscoping tutorial by anon:
``` python
1. extract image sequence from video
2. testing prompt by using the 1st photo from the batch
3. find the suitable prompt that you want, the pose/sexual acts should be the same as the original to prevent weirdness
4. CFG Scale and Denoising Strength is very important
> Low CFG Scale will make your image less follow your prompt and make it more blurry and messy (i use 9-13)
> Denoising Strength determines the mix between your prompt and your image: 0 = Original input 1 = Only Prompt, nothing resemble of the input except the colors.
the interesting thing that i've noticed from Denoising strength is not linear, its behave more exponential ( my speculation is 0-0.6 = still reminds of the original 0.61-0.76 = starting to change 0.77-1 = change a lot )
5. sampler:
> Euler-a is quite nice, but lack of consistency between the step, adding/lower 1 step can change the entire photo
> Euler is better than euler-a in terms of consistency but requires more steps = longer generation time between each image
> DPM++ 2S a Karras is the best in quality (for me) but it is very slow, good for generate single image
> DDIM is the fastest and very useful for this case, 20-30 steps can produces a nice quality anime image.
6. test prompting into a batch of 4-6 to choosing a seed
7. Batch img2img
8. Assembling the generated images into video, i don't want to use eveyframes so i rendered into 2 frame steps and half the frame rate
9. Use Flowframes to interpolate the inbetween frame to match the original video frame rate.
```
Ex: https://files.catbox.moe/e30szo.mp4
File2prompt (I think it's multiple generations in a row?): https://rentry.org/file2prompt
## Models, Embeddings, and Hypernetworks
* Open source SD model based on chinese text and images: https://huggingface.co/IDEA-CCNL/Taiyi-Stable-Diffusion-1B-Chinese-v0.1
!!! Downloads listed as "sus" or "might be pickled" generally mean there were 0 replies and not enough "information" (like training info). or, the replies indicated they were suspicious. I don't think any of the embeds/hypernets have had their code checked so they could all be malicious, but as far as I know no one has gotten pickled yet
!!! All files in this section (ckpt, vae, pt, hypernetwork, embedding, etc) can be malicious: https://docs.python.org/3/library/pickle.html, https://huggingface.co/docs/hub/security-pickle. Make sure to check them for pickles using a tool like https://github.com/zxix/stable-diffusion-pickle-scanner or https://github.com/lopho/pickle_inspector
### **Models***
Model pruner: https://github.com/harubaru/waifu-diffusion/blob/bc626e8/scripts/prune.py
Collection of potentially dangerous models: https://bt4g.org/search/.ckpt/1
Collection?: https://civitai.com/
Huggingface collection: https://huggingface.co/models?pipeline_tag=text-to-image&sort=downloads
* V1 repo: https://github.com/CompVis/stable-diffusion
* V2 repo: https://github.com/Stability-AI/stablediffusion
``` python
Direct Downloads (no login needed)
https://huggingface.co/stabilityai/stable-diffusion-2/resolve/main/768-v-ema.ckpt
https://huggingface.co/stabilityai/stable-diffusion-2-base/resolve/main/512-base-ema.ckpt
https://huggingface.co/stabilityai/stable-diffusion-2-depth/resolve/main/512-depth-ema.ckpt
https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/resolve/main/512-inpainting-ema.ckpt
https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler/resolve/main/x4-upscaler-ema.ckpt
License: https://huggingface.co/stabilityai/stable-diffusion-2/raw/main/LICENSE-MODEL
Torrent for the 2.0 release by anon. License text included so that it's okay to distribute.
magnet:?xt=urn:btih:f193c9cb1e542f5ea264dfcaeb014635ddf4b25b&dn=stable-diffusion-2&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce
Other:
magnet:?xt=urn:btih:cce6f4ee630efadd365fe4f1655c733e0551d50f&dn=stable-diffusion-2-base&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce
magnet:?xt=urn:btih:ceeb6f68b3b08a4bf6216330a01cecb648ace936&dn=stable-diffusion-2-depth&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce
magnet:?xt=urn:btih:844341921a40b2202a0d97eb17f749281f6566ec&dn=stable-diffusion-2-inpainting&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce
magnet:?xt=urn:btih:ab224077b6f04012f1bc5527ef08e50bab1fb1d5&dn=stable-diffusion-x4-upscaler&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce
"You can check that I didn't pickle these torrents by comparing the .ckpt file's hash against the SHA256 hashes on the official repo. No login needed."
https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/768-v-ema.ckpt
```
* anything.ckpt (v3 6569e224; v2.1 619c23f0), a Chinese finetune/training continuation of NAI, is released: https://www.bilibili.com/read/cv19603218
* Huggingface, might be pickled: https://huggingface.co/Linaqruf/anything-v3.0/tree/main
* Uploader pruned one of the 3.0 models down to 4gb
* Torrent: https://rentry.org/sdmodels#anything-v30-38c1ebe3-1a7df6b8-6569e224
* Supposed ddl, I didn't check these for pickles: https://rentry.org/NAI-Anything_v3_0_n_v2_1
* instructions to download from Baidu from outside China and without SMS or an account and with speeds more than 100KBps:
>Download a download manager that allows for a custom user-agent (e.g. IDM)
>If you need IDM, contact me
>Go here: https://udown.vip/#/
>In the "在线解析" section, put 'https://pan.baidu.com/s/1gsk77KWljqPBYRYnuzVfvQ' into the first prompt box and 'hheg' in the second (remove the ')
>Click the first blue button
>In the bottom box area, click the folder icon next to NovelAI
>Open your dl manager and add 'netdisk;11.33.3;' into the user-agent section (remove the ')
>Click the paperclip icon next to the item you want to download in the bottom box and put it into your download manager
>
>To get anything v3 and v2.1: first box:https://pan.baidu.com/s/1r--2XuWV--MVoKKmTftM-g, second box:ANYN
* another link that has 1 letter changed that could mean it's pickled: https://pan.baidu.com/s/1r--2XuWV--MVoKKmTfyM-g
* seems to be better (e.g. provide more detailed backgrounds and characters) than NAI, but can overfry some stuff. Try lowering the cfg if that happens
* Passes AUTOMATIC's pickle tester and https://github.com/zxix/stable-diffusion-pickle-scanner, but there's no guarantee on pickle safety, so it still might be ccp spyware
* Use the vae or else your outputs will have a grey filter
* Windows Defender might mark this as a virus, it should be a false positive
* Supposed torrent from anon on /g/ (don't know if safe)
potential magnet that someone gave me
``` python
magnet:?xt=urn:btih:689c0fe075ab4c7b6c08a6f1e633491d41186860&dn=Anything-V3.0.ckpt&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce&tr=udp%3a%2f%2f9.rarbg.com%3a2810%2fannounce&tr=udp%3a%2f%2ftracker.openbittorrent.com%3a6969%2fannounce&tr=udp%3a%2f%2fopentracker.i2p.rocks%3a6969%2fannounce&tr=https%3a%2f%2fopentracker.i2p.rocks%3a443%2fannounce&tr=udp%3a%2f%2ftracker.torrent.eu.org%3a451%2fannounce&tr=udp%3a%2f%2fopen.stealth.si%3a80%2fannounce&tr=http%3a%2f%2ftracker.openbittorrent.com%3a80%2fannounce&tr=udp%3a%2f%2fvibe.sleepyinternetfun.xyz%3a1738%2fannounce&tr=udp%3a%2f%2ftracker1.bt.moack.co.kr%3a80%2fannounce&tr=udp%3a%2f%2ftracker.zerobytes.xyz%3a1337%2fannounce&tr=udp%3a%2f%2ftracker.tiny-vps.com%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.theoks.net%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.swateam.org.uk%3a2710%2fannounce&tr=udp%3a%2f%2ftracker.publictracker.xyz%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.monitorit4.me%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.moeking.me%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.encrypted-data.xyz%3a1337%2fannounce&tr=udp%3a%2f%2ftracker.dler.org%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.army%3a6969%2fannounce&tr=http%3a%2f%2ftracker.bt4g.com%3a2095%2fannounce
```
Mag2
``` python
Little update, here's the link with all including VAE (second one)
magnet:?xt=urn:btih:689C0FE075AB4C7B6C08A6F1E633491D41186860&dn=Anything-V3.0.ckpt&tr=udp%3a%2f%2ftracker.openbittorrent.com%3a80%2fannounce&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce
magnet:?xt=urn:btih:E87B1537A4B5B5F2E23236C55F2F2F0A0BB6EA4A&dn=NAI-Anything&tr=udp%3a%2f%2ftracker.openbittorrent.com%3a80%2fannounce&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce
```
Mag3
``` python
magnet:?xt=urn:btih:689c0fe075ab4c7b6c08a6f1e633491d41186860&dn=Anything-V3.0.ckpt&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2F9.rarbg.com%3A2810%2Fannounce&tr=udp%3A%2F%2Fopentracker.i2p.rocks%3A6969%2Fannounce&tr=https%3A%2F%2Fopentracker.i2p.rocks%3A443%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=http%3A%2F%2Ftracker.openbittorrent.com%3A80%2Fannounce&tr=udp%3A%2F%2Fvibe.sleepyinternetfun.xyz%3A1738%2Fannounce&tr=udp%3A%2F%2Ftracker1.bt.moack.co.kr%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.zerobytes.xyz%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.tiny-vps.com%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.theoks.net%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.swateam.org.uk%3A2710%2Fannounce&tr=udp%3A%2F%2Ftracker.publictracker.xyz%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.monitorit4.me%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.moeking.me%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.encrypted-data.xyz%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.dler.org%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.army%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.altrosky.nl%3A6969%2Fannounce&tr=http%3A%2F%2Ftracker.bt4g.com%3A2095%2Fannounce
```
from: https://bt4g.org/magnet/689c0fe075ab4c7b6c08a6f1e633491d41186860
another magnet on https://rentry.org/sdmodels from the author
* Mixed SFW/NSFW Pony/Furry V2 from AstraliteHeart: https://mega.nz/file/Va0Q0B4L#QAkbI2v0CnPkjMkK9IIJb2RZTegooQ8s6EpSm1S4CDk
* Mega mixing guide (has a different berry mix): https://rentry.org/lftbl
* Model showcases from lftbl: https://rentry.co/LFTBL-showcase
* Cafe Unofficial Instagram TEST Model Release
* Trained on ~140k 640x640 Instagram images made up of primarily Japanese accounts (mix of cosplay, model, and personal accounts)
* Note: While the model can create some realistic (Japanese) Instagram-esque images on its own, for full potential, it is recommended that it be merged with another model (such as berry or anything)
* Note: Use CLIP 2 and resolutions greater than 640x640
* Artstation Models (by WD dev): https://huggingface.co/hakurei/artstation-diffusion
* Prebuilt ckpt (not sure if safe): https://huggingface.co/NoCrypt/artstation-diffusion/tree/main
* Nitro Diffusion (Multi-style model trained on three artstyles, archer style, arcane style, and modern disney style): https://huggingface.co/nitrosocke/Nitro-Diffusion
* High quality anime images (eimisanimediffusion): https://huggingface.co/eimiss/EimisAnimeDiffusion_1.0v
*Hrrzg style 768px: https://huggingface.co/TheLastBen/hrrzg-style-768px
* Ghibli Diffusion (tokens: ghibli style): https://huggingface.co/nitrosocke/Ghibli-Diffusion
- Pokemono Diffusers: https://huggingface.co/lambdalabs/sd-pokemon-diffusers/tree/main
* Animus's premium models got leaked (not sure if safe): https://rentry.org/animusmixed
- Drive links pass the pickle test
- Linked directly from his patreon: https://www.patreon.com/posts/all-of-my-free-74510576
**MODEL MIXES**
Raspberry mix download by anon (not sure if safe): https://pixeldrain.com/u/F2mkQEYp
Strawberry Mix (anon, safety caution): https://pixeldrain.com/u/z5vNbVYc
``` python
magnet:?xt=urn:btih:eb085b3e22310a338e6ea00172cb887c10c54cbc&dn=cafe-instagram-unofficial-test-epoch-9-140k-images-fp32.ckpt&tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&tr=udp%3A%2F%2Fopentor.org%3A2710&tr=udp%3A%2F%2Ftracker.ccc.de%3A80&tr=udp%3A%2F%2Ftracker.blackunicorn.xyz%3A6969&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Ftracker.leechers-paradise.org%3A6969
```
ThisModel:
1. (Weighted Sum 0.05) Anything3 + SD1.5 = Temp1
2. (Add Difference 1.0) Temp1 + F222 + SD1.5 = Temp2
3. (Weighted Sum 0.2) Temp2 + TrinArt2_115000 = ThisModel
Anon's model for vampires(?):
``` python
My steps
Step 1:
>A : Anything-V3.0
>B : trinart2_step115000.ckpt [f1c7e952]
>C : stable-diffusion-v-1-4-original
A from https://huggingface.co/Linaqruf/anything-v3.0/blob/main/Anything-V3.0-pruned.ckpt
B from https://rentry.org/sdmodels#trinart2_step115000ckpt-f1c7e952
C from https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/blob/main/sd-v1-4.ckpt
and I "Add Difference" at 0.45, and name as part1.ckpt
Step 2:
>A : part1.ckpt (What I made in Step 1)
>B: Cafe Unofficial Instagram TEST Model [50b987ae]
B is from https://rentry.org/sdmodels#cafe-unofficial-instagram-test-model-50b987ae
and I "Weighted Sum" at 0.5, and name it TrinArtMix.ckpt
```
* Samdoesbimbos (sandoesart dreambooth dehydrated from original model and hydrated into thepit bimbo dreambooth): https://mega.nz/file/xpECiaAI#_KeDMAvxAnyOkLlo82IP09BHc1KBZoUfT-0jFaDhF3c
* One recommended merge: [email protected] and [email protected]
* Another is F222 SD15 WD12 SxDv0.8 at low ratios (0.1-0.4)
Antler's Mix (didn't check for pickles)
https://mega.nz/file/nZtz0LZL#ExSHp7icsZedxOH_yRUOKAliPGfKRsWiOYHqULZy9Yo
Alternate mix, apparently? (didn't check for pickles)
>((anything_0.95 + sd-1.5_0.05) + f222 - sd-1.5)_0.75 + trinart2_115000_0.25
RandoMix2 (didn't check for pickles)
magnet:?xt=urn:btih:AB6A6C3F6AA0858030B9B85D28B243A4FF9F5935&dn=RandoMix2.zip&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce
RaptorBerry (didn't check for pickles)
magnet:?xt=urn:btih:166c9caf38801ba4e10912b5c91ccaaec585534c&dn=RaptorBerry%20Final%20Mix.ckpt&tr=http%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce&tr=http%3a%2f%2ftracker.openbittorrent.com%3a80%2fannounce&tr=udp%3a%2f%2fopentracker.i2p.rocks%3a6969%2fannounce&tr=udp%3a%2f%2fopen.stealth.si%3a80%2fannounce&tr=udp%3a%2f%2ftracker.torrent.eu.org%3a451%2fannounce
NAI+SD+Trinart characters+Trinart+F222 (weighted sum, values less than 0.3): https://mega.nz/file/JblSFKia#n8JNfYWXaMeeQEstB-1A1Ju5u3m9I-u-n3WcmVpz2lo
```
"Ben Dover Mix"©®™ is my mix
if you're interested
follow this guide https://rentry.org/lftbl#berrymix
The mix is done exactly the same way as berrymix
but with anythingv3 instead of nai
f222 instead of f111
and sd v1.5 instead of sd v1.4
```
https://rentry.org/ben_dover
AloeVera mix: https://mega.nz/file/4bEzxB6Q#j3QwgNxHiYOmT8Y4OgHP9mlzvFbCkEK1DUepMoIBI50
Nutmeg mix:
``` python
0.05 NAI + SD1.5
0.05 mix + f222
0.05 mix + r34
0.05 mix + SF
0.3 Anything + mix
```
Hyper-versatile SD model: https://huggingface.co/BuniRemo/Redshift-WD12-SD14-NAI-FMD_Checkpoint_Merger_-_Hyper-Versatile_Stable_Diffusion_Model
* Made from Redshift Diffusion, Waifu Diffusion 1.2, Stable Diffusion 1.4, Novel AI, Yiffy, and Zack3D_Kinky-v1; capable of rendering humans, furries, landscapes, backgrounds, buildings, Disney style, painterly styles, and more
Hassan (has a few mixes, not sure if the dls are safe): https://rentry.org/sdhassan
* An anon recommended the Hassan1.3 if you do 3DPD
* 1.4 ex: https://imgur.com/a/TUWkJmh
Anonmix:
>Weighted Sum @ 0.05 to make tempmodel1
>
>A: Anything.V3, B: SD1.5, C: null
>
>Add Difference @ 1.0 to make tempmodel2
>
>A: tempmodel1, B: Zeipher F222, C: SD1.5
>
>Weighted Sum @ 0.25 to make tempmodel3
>
>A: tempmodel2, B: r34_e4, C: Null
>
>Weighted Sum @ 0.20 to make FINAL MODEL
>
>A: tempmodel3, B: NAI
SquidwardBlendv2: https://mega.nz/file/r9MzkQxb#QeiM9HJf0wAw68yg-q9RtrbGucB7h712yu-EpvFX3n0
- "generates consistent quality realistic painterly tasteful nudes"
- Ex: https://i.4cdn.org/g/1669218820252711.png
- https://www.reddit.com/r/sdnsfw/comments/z1ymul/squidwardblendv2/
Big collection of berry mixes: https://rentry.org/dbhhk (https://archived.moe/h/thread/6984678/#q6985842)
Super duper mixing cookbook from hdg (most updated): https://rentry.org/hdgrecipes
### **EveryDream Trainer**
!!! All files in this section (ckpt, vae, pt, hypernetwork, embedding, etc) can be malicious: https://docs.python.org/3/library/pickle.html, https://huggingface.co/docs/hub/security-pickle. Make sure to check them for pickles using a tool like https://github.com/zxix/stable-diffusion-pickle-scanner or https://github.com/lopho/pickle_inspector
Download + info + prompt templates: https://github.com/victorchall/EveryDream-trainer
* by anon: allows you to train multiple subjects quickly via labelling file names but it requires a normalization training set of random labelled images in order to preserve model integrity
* Made in Abyss: https://drive.google.com/drive/u/0/folders/1FxFitSdqMmR-fNrULmTpaQwKEefi4UGI
* https://old.reddit.com/r/StableDiffusion/comments/ylroyp/made_in_abyss_dreambooth_model_i_am_working_on/
* Download reply: https://old.reddit.com/r/StableDiffusion/comments/ylroyp/made_in_abyss_dreambooth_model_i_am_working_on/iv3w5b3/
### **Dreambooth Models:**
!!! All files in this section (ckpt, vae, pt, hypernetwork, embedding, etc) can be malicious: https://docs.python.org/3/library/pickle.html, https://huggingface.co/docs/hub/security-pickle. Make sure to check them for pickles using a tool like https://github.com/zxix/stable-diffusion-pickle-scanner or https://github.com/lopho/pickle_inspector
Links:
* https://huggingface.co/waifu-research-department
* https://huggingface.co/jinofcoolnes
* For preview pics/descriptions:
* https://www.reddit.com/user/jinofcool/
* https://www.patreon.com/Rahmel
* https://huggingface.co/nitrosocke
* Toolkit anon: https://huggingface.co/demibit/
* https://rentry.org/sdmodels
* Big collection: https://publicprompts.art/
* Big collection of sex models (Might be a large pickle, so be careful): https://rentry.org/kwai
* Collection: https://cyberes.github.io/stable-diffusion-dreambooth-library/
* /vt/ collection: https://mega.nz/folder/23oAxTLD#vNH9tPQkiP1KCp72d2qINQ/folder/L2AmBRZC
* Big collection: https://publicprompts.art/
* Chinese collection of Dreambooth models: https://docs.qq.com/sheet/DTVZEd3VqSWhDTXNY?tab=BB08J2
* Website: https://aimodel.subrecovery.top/
* Main download: https://www.aliyundrive.com/s/62ha51rH6Uw
* Apparently, most of the exes from the aliyundrive site are self-extracting, so it might be a miner, virus, etc.
* Nami: https://mega.nz/file/VlQk0IzC#8MEhKER_IjoS8zj8POFDm3ZVLHddNG5woOcGdz4bNLc
* https://huggingface.co/IShallRiseAgain/StudioGhibli/tree/main
* Jinx: https://huggingface.co/jinofcoolnes/sksjinxmerge/tree/main
* Another: https://drive.google.com/drive/folders/1-Gz7R9X8tSZV7D8oyxqY0zo-BFcXN1_X
* https://twitter.com/Rahmeljackson/status/1580244475649007616?s=20&t=PNe7aQsh1k1cXsjVyKSeaQ
* Arcane Vi: https://huggingface.co/jinofcoolnes/VImodel/tree/main
* Lucy (Edgerunners): https://huggingface.co/jinofcoolnes/Lucymodel/tree/main
* https://www.patreon.com/posts/73414085
* https://twitter.com/Rahmeljackson/status/1582019346867441666?s=20&t=3K2kJ2zQna4a24-AoVJWpw
* Gundam (full ema, non pruned): https://huggingface.co/Gazoche/stable-diffusion-gundam
* Starsector Portraits: https://huggingface.co/Severian-Void/Starsector-Portraits
* Evangelion style: https://huggingface.co/crumb/eva-fusion-v2