{"pubkey":"a48c3e0141d589a18d14bb959cc08c98b613fb2fb3213dba0bb947794c120641","posts":[{"contentHash":"8b34cf1a06ad727f3e2663b450abfb5dc52451642f7c8f3b9c4344546569287d","protocol":"bitcoin","authorPubkey":"a48c3e0141d589a18d14bb959cc08c98b613fb2fb3213dba0bb947794c120641","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 (new) >Local Text >>>/g/lmg","topicHash":"913c62c2ee31793c7e8517600dbc8f0c337afae133700a128a7d8ffb8a21c93e","topicName":"technology","parentHash":"db25d1f574ada572b92b68c44a797cfea74a8284cf264cbe09a2b1eebec1b6aa","costSunk":"0","biasSupport":0,"biasOppose":0,"biasVouch":0,"biasNull":0,"blockHeight":null,"confirmations":0,"timestamp":"2026-11-03T20:04:59.595Z","tripFp":"aaca02f2a068","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"f4321872c5ca868e","sig":"8d3807955661a49c83adf05f024f8c3d9c6d31bbee99e877f9c39acff0f87340c510ecf1da983a75bd9d1bc54e20cfea88f19d72556a4a8bfce7f30a6659a54e","ephStamp":{"blockHashHex":"00000000000000000000e73a7165bd1823adb072b58f236e10f52d0007976dd0","nonceHex":"c68b010000000000"},"replyCount":8,"chainReplyCount":0,"vaporReplyCount":8,"clusterSize":15,"receiptHeight":974433,"expiryHeight":978753,"authorMarks":{"since":"2026-11-03T18:05:20.992Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en"}],"nextCursor":null,"pageReceipt":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T20:00:12.265Z","sig":"0789e727f2fd945a2736ccd3bf18e44f3450dfc42fd82a53b75eee131636b49f4144e83d703f03cf4afa683f53ad274be1b6a6df98a2e0bd2f0ac7fc2f74c9dd"},"marks":{"since":"2026-11-03T18:05:20.992Z","via":"sight","inscribed":0,"likes":0,"biases":0}}