{"pubkey":"870042b6be5bc73313e4ae41c015c7a7fd123790d793a9a5f580f0fafbc1406d","posts":[{"contentHash":"ff7530a6a184a6a35b952effa36e47ad3729b31ac252d28f7a4afdbdcda154ac","protocol":"bitcoin","authorPubkey":"870042b6be5bc73313e4ae41c015c7a7fd123790d793a9a5f580f0fafbc1406d","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":"99293563ebdc1a9766ae798f2680f033aa1ad8c3f4506a6576d588b336c9afa3","costSunk":"0","biasSupport":0,"biasOppose":0,"biasVouch":0,"biasNull":0,"blockHeight":null,"confirmations":0,"timestamp":"2026-11-08T19:04:59.531Z","tripFp":"0dd57e4041f7","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"e0a1bf119826f495","sig":"591ae6eff7a433ad2e572ab83d18de045365b18a82ccf8892b345a78f1680b5bbda1d39e9ecf688966c32364282a3aa844b74feb88273ea66ffb4c6af2a875cc","ephStamp":{"blockHashHex":"00000000000000000000b130846bf2fdfadb5a05a89aa40c62276700e08ee489","nonceHex":"a326010000000000"},"replyCount":3,"chainReplyCount":0,"vaporReplyCount":3,"clusterSize":4,"receiptHeight":975088,"expiryHeight":979408,"authorMarks":{"since":"2026-11-08T19:04:59.557Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en"}],"nextCursor":null,"pageReceipt":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T19:56:54.931Z","sig":"3ccedf83b4eb3bb0615f60545f1f17dbbf5d3e6b8378fe0baeb8c8a12b4f844fe3f2c4680008a34b6c3f6af02b5e40d47438e63eec9dc3f5d35d2c8000263dda"},"marks":{"since":"2026-11-08T19:04:59.557Z","via":"sight","inscribed":0,"likes":0,"biases":0}}