anyone else feel a primal sort of fear when this thing stood up and walked towards the camera?

Previous /sdg/ thread : >>100066560

>Beginner UI local install
Fooocus: https://github.com/lllyasviel/fooocus
EasyDiffusion: https://easydiffusion.github.io

>Local install
Automatic1111: https://github.com/automatic1111/stable-diffusion-webui
ComfyUI (Node-based): https://rentry.org/comfyui
AMD GPU: https://rentry.org/sdg-link#amd-gpu
Intel GPU: https://rentry.org/sdg-link#intel-gpu

>Use a VAE if your images look washed out
https://rentry.org/sdvae

>Auto1111 forks
Forge: https://github.com/lllyasviel/stable-diffusion-webui-forge
Anapnoe UX: https://github.com/anapnoe/stable-diffusion-webui-ux
Vladmandic: https://github.com/vladmandic/automatic

>Run cloud hosted instance
https://rentry.org/sdg-link#run-cloud-hosted-instance

>Try online without registration
txt2img: https://www.mage.space
img2img: https://huggingface.co/spaces/huggingface/diffuse-the-rest
Inpainting: https://huggingface.co/spaces/fffiloni/stable-diffusion-inpainting
pixart: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma

>Models, LoRAs & embeddings
https://civitai.com
https://huggingface.co
https://rentry.org/embeddings

>Animation
https://rentry.org/AnimAnon
https://rentry.org/AnimAnon-AnimDiff
https://rentry.org/AnimAnon-Deforum

>SDXL info & download
https://rentry.org/sdg-link#sdxl

>Index of guides and other tools
https://codeberg.org/tekakutli/neuralnomicon
https://rentry.org/sdg-link
https://rentry.org/rentrysd

>View and submit GPU performance data
https://docs.getgrist.com/3mjouqRSdkBY/sdperformance
https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html

>Share image prompt info
4chan removes prompt info from images, share them with the following guide/site...
https://rentry.org/hdgcb
https://catbox.moe

>Related boards
>>>/h/hdg
>>>/e/edg
>>>/d/ddg
>>>/b/degen
>>>/vt/vtai
>>>/aco/sdg
>>>/trash/sdg

Official: discord.gg/stablediffusion

https://www.forbes.com/sites/kateoflahertyuk/2024/04/18/youtube-issues-new-ad-blocker-warning-as-crackdown-ramps-up/
YouTube has issued a new warning to anyone using a third party app on the video streaming platform. “We’re strengthening our enforcement on third party apps that violate YouTube’s Terms of Service, specifically ad blocking apps,” Google said in an announcement on its support page.
YouTube explained how the platform only allows third party apps to use its API when they follow its API Services Terms of Service, and “when we find an app that violates these terms, we will take appropriate action to protect our platform, creators, and viewers.”

During the last crackdown on ad blocking extensions, YouTube users noticed buffering on the platform, often making it unusable. Under the YouTube’s latest crackdown, viewers using third-party apps may experience buffering issues or see the error, “The following content is not available on this app” when trying to watch a video, Google said.
It looks like YouTube’s plan is working, with users on X formerly Twitter saying they were unable to use their ad blocking apps.

Ad blocking giant AdGuard was quick to respond to YouTube’s announcement, saying in a blog that it is not affected. This is because AdGuard for Android and AdGuard for iOS apps do not use YouTube’s official tools—its API—to block ads.
“Instead, AdGuard plays the video in its own in-app browser, similar to how you would watch YouTube with an ad blocker in a regular web browser,” the firm wrote. “This method allows AdGuard to use the same filters that are available in the browser.”

Google also points out that if you turn off ads, creators don’t get paid, which could of course force them to leave the platform. “We also understand that some people prefer an entirely ad-free experience, which is why we offer YouTube Premium,” it added.

Please help me find this keyboard case its small bezelless has a small slope
Thank you:3

/aicg/ - A general dedicated to the discussion and development of AI chatbots

Played Us Like a Damn Fiddle Edition

>News
Meta AI released Llama 3 8B and 70B https://llama.meta.com/llama3
Claude Opus on Amazon Bedrock https://aws.amazon.com/blogs/aws/anthropics-claude-3-opus-model-on-amazon-bedrock
OpenAI released the gpt-4-turbo as stable
Anthropic released the Claude 3 family https://www.anthropic.com/news/claude-3-family

additional info: https://rentry.org/aicg_extra_information

>Bots
https://chub.ai
https://chub-archive.evulid.cc
https://booru.plus/+pygmalion
https://rentry.org/meta_bot_list
https://rentry.org/charcardrentrylist

>Guides
https://rentry.org/tavern4retards - https://rentry.org/agnai_guides

>Jailbreaks
https://rentry.org/jb-listing

>Frontends
https://sillytavern.app [SillyTavern]
https://agnai.chat [Agnai]
https://risuai.xyz [RisuAI]
https://docs.miku.gg [Miku]
https://character.ai [Cai]

>Models
gpt: https://platform.openai.com/docs
claude: https://docs.anthropic.com
gemini: https://ai.google.dev/docs
local: >>>/g/lmg
https://rentry.org/meta_golocal_list

>Botmaking
https://rentry.org/meta_botmaking_list
https://desune.moe/aichared
https://agnai.chat/editor

>Meta
OP templates: https://rentry.org/aicgOP
services assessment: https://rentry.org/aicg_meta
try these -> https://rentry.org/weirdbutfunjailbreaksandprompts - https://rentry.org/jinxbreaks
old slaude stuff: https://rentry.org/meta_claude_list
logs: https://chatlogs.neocities.org
aicg botmaking events: https://rentry.org/meta_event_list

Previous: >>>>100068739

When will radio die out?

/g/ humour thread

Mad about you edition

previous: >>99955288

READ THE WIKI! & help by contributing:
https://wiki.installgentoo.com/wiki/Home_server

>NAS Case Guide. Feel free to add to it:
https://wiki.installgentoo.com/wiki/Home_server/Case_guide

/hsg/ is about learning and expanding your horizons. Know all about NAS? Learn virtualization. Spun up some VMs? Learn about networking by standing up a OPNsense/PFsense box and configuring some VLANs. There's always more to learn and chances to grow. Think you’re god-tier already? Setup OpenStack and report back.

>What software should I run?
Install Gentoo. Or whatever flavor of *nix is best for the job or most comfy for you. Jellyfin/Emby/Plex to replace Netflix, Nextcloud to replace Googlel, Ampache/Navidrome to replace Spotify, the list goes on. Look at the awesome self-hosted list and ask.

>Why should I have a home server?
/hsg/ is about learning and expanding your horizons. De-botnet your life. Learn something new. Serving applications to yourself, your family, and your frens feels good. Put your tech skills to good use for yourself and those close to you. Store their data with proper availability redundancy and backups and serve it back to them with a /comfy/ easy to use interface.

>Links & resources
Cool stuff to host: https://gitlab.com/awesome-selfhosted/awesome-selfhosted
RouterOS's: https://wiki.installgentoo.com/wiki/Home_server#Custom
https://reddit.com/r/datahoarder
https://www.labgopher.com
https://www.reddit.com/r/homelab/wiki/index
https://wiki.debian.org/FreedomBox/Features
List of ARM-based SBCs: https://docs.google.com/spreadsheets/d/1PGaVu0sPBEy5GgLM8N-CvHB2FESdlfBOdQKqLziJLhQ
Low-power x86 systems: https://docs.google.com/spreadsheets/d/1LHvT2fRp7I6Hf18LcSzsNnjp10VI-odvwZpQZKv_NCI
Cheap disks: https://shucks.top/ & https://diskprices.com/

Remember:
RAID protects you from DOWNTIME
BACKUPS protect you from DATA LOSS

Now that the dust is settled, what’s the fa/g/ consensus on picrel?

/lmg/ - a general dedicated to the discussion and development of local language models.

"I cannot create explicit content" edition

Previous threads: >>100063933 & >>100066834


►News
>(04/18) Llama 3 8B, 70B pretrained and instruction-tuned models released: https://llama.meta.com/llama3/
>(04/18) Anon accidentally drops his API key to replicate
>(04/17) Mixtral-8x22B-Instruct-v0.1 released: https://mistral.ai/news/mixtral-8x22b/
>(04/15) Microsoft AI unreleases WizardLM 2: https://web.archive.org/web/20240415221214/https://wizardlm.github.io/WizardLM2/
>(04/09) Mistral releases Mixtral-8x22B: https://twitter.com/MistralAI/status/1777869263778291896

►FAQ: https://wikia.schneedc.com
►Glossary: https://archive.today/E013q | https://rentry.org/local_llm_glossary
►Links: https://rentry.org/LocalModelsLinks
►Official /lmg/ card: https://files.catbox.moe/cbclyf.png

►Getting Started
https://rentry.org/llama-mini-guide
https://rentry.org/8-step-llm-guide
https://rentry.org/llama_v2_sillytavern
https://rentry.org/lmg-spoonfeed-guide
https://rentry.org/rocm-llamacpp

►Further Learning
https://rentry.org/machine-learning-roadmap
https://rentry.org/llm-training
https://rentry.org/LocalModelsPapers

►Benchmarks
General Purpose:
https://hf.co/spaces/HuggingFaceH4/open_llm_leaderboard
https://hf.co/spaces/lmsys/chatbot-arena-leaderboard
Programming: https://hf.co/spaces/bigcode/bigcode-models-leaderboard
Censorbench: https://codeberg.org/jts2323/censorbench

►Tools
Alpha Calculator: https://desmos.com/calculator/ffngla98yc
GGUF VRAM Calculator: https://huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator
Sampler visualizer: https://artefact2.github.io/llm-sampling/index.xhtml

►Text Gen. UI, Inference Engines
https://github.com/oobabooga/text-generation-webui
https://github.com/LostRuins/koboldcpp
https://github.com/lmg-anon/mikupad
https://github.com/turboderp/exui
https://github.com/ggerganov/llama.cpp