{"contentHash":"e6b14ae4b87fca5f1a24bca2e01e91be7354e8e589e455b4c9dbb850c9c2f3c2","protocol":"bitcoin","authorPubkey":"b41a0388e11b581807fcb901b45746f89adb6e0c16e1418482710538ee95db83","text":"Discussion and Development of Local Image, Video, and Audio Models https://rentry.org/ldg-lazy-getting-started-guide >UI ComfyUI: https://github.com/comfyanonymous/ComfyUI SwarmUI: https://github.com/mcmonkeyprojects/SwarmUI SDWebUI: https://rentry.org/ldg-lazy-getting-started-guide#the-stable-diffusion-web-ui-lineage Wan2GP: https://github.com/deepbeepmeep/Wan2GP Neural-Pixel (sd.cpp): https://github.com/Luiz-Alcantara/Neural-Pixel >Checkpoints, LoRAs, & Upscalers https://huggingface.co/models https://huggingbay.xyz https://civitai.com https://civitaiarchive.com https://openmodeldb.info >Tuning https://github.com/spacepxl/demystifying-sd-finetuning https://github.com/ostris/ai-toolkit https://github.com/Nerogar/OneTrainer https://github.com/tdrussell/diffusion-pipe https://github.com/kohya-ss/sd-scripts https://github.com/kohya-ss/musubi-tuner >MOSS https://github.com/OpenMOSS/MOSS-Image >F3K https://huggingface.co/black-forest-labs/flux-3-image-klein >Qwen Image 2.1 https://huggingface.co/Qwen/Qwen-Image-2.1 >MiniMax H3 https://huggingface.co/Comfy-Org/MiniMax-H3 https://neta.art/use-cases/en/h3-1000-prompt-list >Anima https://huggingface.co/circlestone-labs/Anima https://animastyles.thetacursed.com https://tagexplorer.github.io/ https://animadex.net >Krea 2 https://huggingface.co/krea/Krea-2-Raw https://huggingface.co/krea/Krea-2-Turbo https://lumenastrum.github.io/clio-style-preview/gallery/ >Misc Share Metadata: https://catbox.moe | https://litterbox.catbox.moe/ Txt2Img Plugin: https://github.com/Acly/krita-ai-diffusion Archive: https://rentry.org/sdg-link Collage: https://rentry.org/neo_collage >Neighbors >>>/aco/csdg >>>/b/degen >>>/gif/vdg >>>/d/ddg >>>/e/edg >>>/h/hdg >>>/trash/slop >>>/vt/vtai >>>/u/udg >>>/hr/pdg >Local Text >>>/g/lmg","topicHash":"913c62c2ee31793c7e8517600dbc8f0c337afae133700a128a7d8ffb8a21c93e","topicName":"technology","parentHash":"3697d84e1acb41fcea0564c410f3c0719a72cec6f32ecbc3832319cebc79c2b1","costSunk":"0","biasSupport":0,"biasOppose":0,"biasVouch":0,"biasNull":0,"blockHeight":null,"confirmations":0,"timestamp":"2026-11-07T00:07:02.608Z","tripFp":"b039dac4857b","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"0b580628afc5de64","sig":"2a9c94a0356f4d1f20a157478a99de80bf818b11147b5bf741b5137aabb905fb54c06f5278ab911f4a10e3a3f3c2dbc0d18a044205a6d279cc6f80802abdb001","ephStamp":{"blockHashHex":"000000000000000000006dc1db5188a78ea5132b86233a0e38cf2906308bdccb","nonceHex":"a420010000000000"},"replyCount":8,"chainReplyCount":0,"vaporReplyCount":8,"clusterSize":17,"receiptHeight":974868,"expiryHeight":979188,"authorMarks":{"since":"2026-11-06T20:06:01.592Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en","servedBy":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T19:38:36.507Z","sig":"5a9194be7b2bb5fcc813bfd73cbf6d70b4f603110c827a2ff0c989f5f753785da3f6a81666685bb7a7bbe0442226fbe38d906462bf90d4599c6dc6d11ed0bdb7","h":"0000000000000000000149fda0f179108ae890d4c4e6c5c08289bcf8490e054f"}}