Discussion of Free and Open Source Diffusion Models
Prev: >>108223381
https://rentry.org/ldg-lazy-getting-started-guide
>UI
ComfyUI: https://github.com/comfyanonymous/ComfyUI
SwarmUI: https://github.com/mcmonkeyprojects/SwarmUI
re/Forge/Classic/Neo: https://rentry.org/ldg-lazy-getting-started-guide#reforgeclassicneo
SD.Next: https://github.com/vladmandic/sdnext
Wan2GP: https://github.com/deepbeepmeep/Wan2GP
>Checkpoints, LoRAs, Upscalers, & Workflows
https://civitai.com
https://civitaiarchive.com/
https://openmodeldb.info
https://openart.ai/workflows
>Tuning
https://github.com/spacepxl/demystifying-sd-finetuning
https://github.com/ostris/ai-toolkit
https://github.com/Nerogar/OneTrainer
https://github.com/kohya-ss/musubi-tuner
https://github.com/tdrussell/diffusion-pipe
>Z
https://huggingface.co/Tongyi-MAI/Z-Image
https://huggingface.co/Tongyi-MAI/Z-Image-Turbo
>Anima
https://huggingface.co/circlestone-labs/Anima
https://thetacursed.github.io/Anima-Style-Explorer/
>Klein
https://huggingface.co/collections/black-forest-labs/flux2
>LTX-2
https://huggingface.co/Lightricks/LTX-2
>Wan
https://github.com/Wan-Video/Wan2.2
>Chroma
https://huggingface.co/lodestones/Chroma1-Base
https://rentry.org/mvu52t46
>Illustrious
https://rentry.org/comfyui_guide_1girl
https://tagexplorer.github.io/
>Misc
Local Model Meta: https://rentry.org/localmodelsmeta
Share Metadata: https://catbox.moe | https://litterbox.catbox.moe/
GPU Benchmarks: https://chimolog.co/bto-gpu-stable-diffusion-specs/
Img2Prompt: https://huggingface.co/spaces/fancyfeast/joy-caption-beta-one
Txt2Img Plugin: https://github.com/Acly/krita-ai-diffusion
Archive: https://rentry.org/sdg-link
Collage: https://rentry.org/ldgcollage
>Neighbors
>>>/aco/csdg
>>>/b/degen
>>>/r/realistic+parody
>>>/gif/vdg
>>>/d/ddg
>>>/e/edg
>>>/h/hdg
>>>/trash/slop
>>>/vt/vtai
>>>/u/udg
>Local Text
>>>/g/lmg
>Maintain Thread Quality
https://rentry.org/debo
https://rentry.org/animanon

oh no transistors, it's over
https://www.tomshardware.com/tech-industry/artificial-intelligence/ibm-triples-entry-level-hires-for-2026-despite-ai-adoption-bucking-industry-trends-chief-hr-officer-says-that-ai-can-do-most-entry-level-jobs-but-work-still-requires-a-human-touch

/lmg/ - a general dedicated to the discussion and development of local language models.
Previous threads: >>108218666 & >>108212577
►News
>(02/20) ggml.ai acquired by Hugging Face: https://github.com/ggml-org/llama.cpp/discussions/19759
>(02/16) Qwen3.5-397B-A17B released: https://hf.co/Qwen/Qwen3.5-397B-A17B
>(02/16) dots.ocr-1.5 released: https://modelscope.cn/models/rednote-hilab/dots.ocr-1.5
>(02/15) Ling-2.5-1T released: https://hf.co/inclusionAI/Ling-2.5-1T
>(02/14) JoyAI-LLM Flash 48B-A3B released: https://hf.co/jdopensource/JoyAI-LLM-Flash
>(02/14) Nemotron Nano 12B v2 VL support merged: https://github.com/ggml-org/llama.cpp/pull/19547
►News Archive: https://rentry.org/lmg-news-archive
►Glossary: https://rentry.org/lmg-glossary
►Links: https://rentry.org/LocalModelsLinks
►Official /lmg/ card: https://files.catbox.moe/cbclyf.png
►Getting Started
https://rentry.org/lmg-lazy-getting-started-guide
https://rentry.org/lmg-build-guides
https://rentry.org/IsolatedLinuxWebService
https://rentry.org/recommended-models
https://rentry.org/samplers
https://rentry.org/MikupadIntroGuide
►Further Learning
https://rentry.org/machine-learning-roadmap
https://rentry.org/llm-training
https://rentry.org/LocalModelsPapers
►Benchmarks
LiveBench: https://livebench.ai
Programming: https://livecodebench.github.io/gso.html
Context Length: https://github.com/adobe-research/NoLiMa
GPUs: https://github.com/XiongjieDai/GPU-Benchmarks-on-LLM-Inference
►Tools
Alpha Calculator: https://desmos.com/calculator/ffngla98yc
GGUF VRAM Calculator: https://hf.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator
Sampler Visualizer: https://artefact2.github.io/llm-sampling
►Text Gen. UI, Inference Engines
https://github.com/lmg-anon/mikupad
https://github.com/oobabooga/text-generation-webui
https://github.com/LostRuins/koboldcpp
https://github.com/ggerganov/llama.cpp
https://github.com/theroyallab/tabbyAPI
https://github.com/vllm-project/vllm

>UPGRADE & BUILD ADVICE
Post build list or current specs: https://pcpartpicker.com/
Provide specific use cases and your BUDGET and COUNTRY
Alternate to pcpartpicker: https://pangoly.com/en/pc-builder
>CASE
mATX: AP201, Lian Li A3, O11 Air Mini, XT M3, CH260
ATX: XT PRO (ULTRA), AIR 903 Base/MAX, Lancool 207, Flux Pro, Meshify 3, 4000D FRAME, X50
Dual Chamber: Y60/70, O11 Vision, Antec C8
>CPU
Gaming: 14600K, 7/9600X, 7/9800X3D
Budget: 12400, 12600K, 7500F
Workstation: 265K, 9950X3D
*Multiple manufacturers report issues on AM5 platforms. New BIOS dropped.
*Raptor Lake microcode updating is mandatory
>COOLER
AIO: Thermalright Frozen Edge, Lian Li Galahad II Lite, Corsair Nautilus RS, Cooler Master Atmos, Liquid Freezer 3/Pro (AM5 mount icky)
ITX/>42mm RAM: Mugen 6 Dual Fan, AXP120-X67
TIM: MX-7, MX-4, Duronaut, *PTM 7950, Kryosheet
*Most listings online are not actually 7950
>RAM
DDR5: 2x16GB 6000CL30 (AM5), 6400CL32 (LGA 1700)
Workstation: 2x 32GB (budget), 2x64GB (high-end)
>STORAGE
[Keep NVME/SSD firmware updated]
Budget: SN7100, NM790
High-end: SN850X, 990 Pro (Windows)
Premium: SN8100
https://borecraft.com/
HDD prices also increasing YMMV
>GPU
Budget: Arc B580, 9060xt
-Used: 2080, 2080ti
*<16 gb constrained even at 1080p
Midrange: 5060ti 16GB, 9070, 5070
-Used: 3080, 3080ti, 4070 (~$380)
4k : 9070xt, 5070ti
-Native/High-end: 5090
>PSU
Buying guide:
https://hwbusters.com/best_picks/best-atxv3-pcie5-ready-psus-picks-hardware-busters/
>MONITOR
1080p: 24" 165/180hz, KTC H25X7
1440p: 27" 165/180hz IPS, KTC M27T6 (miniLED), ASUS XG27AQWMG (WOLED but not yet in stores)
4K: KTC M27P6 (miniLED)
>OS
Activate Windows @ >>>/g/fwt
>CASE FANS
Meta: Case with good stock PWM fans
Midrange: Arctic P12 Pro, P14 Pro (loud @ higher RPM)
High-end: Fractal Momentum, Noctua G2 (140mm or 120mm)
Consider Noctua/Akasa silicone pins instead of screws for case use
Previous:
>>108228588

one or both of these is flagging my IP as bad. I had to disable both and enter an email to post

Can hierarchical file systems just die already?

/aicg/ - A general dedicated to the discussion and development of AI chatbots
Sparxie Edition
>News
Google releases Gemini 3.1 Pro: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/
Anthropic releases Sonnet 4.6: https://www.anthropic.com/news/claude-sonnet-4-6
Qwen 3.5 release: qwen.ai/blog?id=qwen3.5
Z.AI releases GLM-5: https://z.ai/blog/glm-5
Moonshot AI releases Kimi-K2.5: https://www.kimi.com/blog/kimi-k2-5.html
Google releases Gemini 3 Flash: https://blog.google/products/gemini/gemini-3-flash
OpenAI releases GPT-5.2: https://openai.com/index/introducing-gpt-5-2
DeepSeek releases V3.2: https://huggingface.co/deepseek-ai/DeepSeek-V3.2
Additional info: https://aicg.neocities.org/info.html
>Frontends
SillyTavern: https://docs.sillytavern.app
RisuAI: https://risuai.net
Agnai: https://agnai.chat | https://rentry.org/agnai_guides_
>Bots
https://characterhub.org [deprecated] | https://chub.ai
https://realm.risuai.net
https://char-archive.evulid.cc | https://char-archive.evulid.cc/shutdown.html
https://partyintheanchorhold.neocities.org
https://aicg.neocities.org/bots.html
>Models
Jailbreaks: https://rentry.org/jb-listing
GPT: https://platform.openai.com/docs
Claude: https://docs.anthropic.com | https://rentry.org/how2claude
Gemini: https://ai.google.dev/docs | https://rentry.org/gemini-qr
Deepseek: https://api-docs.deepseek.com
Local: >>>/g/lmg | https://aicg.neocities.org/local.html | https://openrouter.ai
>Botmaking
https://aicg.neocities.org/botmaking.html
https://desune.moe/aichared
https://agnai.chat/editor
>Meta
OP templates: https://rentry.org/aicgOP
aicg botmaking events: https://aicg.neocities.org/events.html
Lore: https://rentry.org/aicg_chronicles
Services assessment: https://rentry.org/aicg_meta
Logs: https://sprites.neocities.org/l/r | https://chatlogs.neocities.org
Last Thread: >>108214951

>The 3-2-1 backup rule calls for three copies of your data (the original plus two backups) stored on two different types of media (such as cloud storage and an external drive), with one backup file kept off-site.
Who or what service do you trust the off-site copy with, /g/?