{"pubkey":"52f75d96c8da32db907e8b199a26e81071a2564ab59231de310828c289d63c1d","posts":[{"contentHash":"fcc2b1ac1c0d2c7ad4a2115eb6ac1f598979f2085b702936493a0d7c2b748cb8","protocol":"bitcoin","authorPubkey":"52f75d96c8da32db907e8b199a26e81071a2564ab59231de310828c289d63c1d","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":"2026-11-05T17:05:53.092Z","tripFp":"1a2b596e5e79","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"094aa6879d70a6cc","sig":"b4919546f5c7aad1534322c4a62165c2070318ec97fd08f7faafd771db4d0d102ce48150bde1d289acaf037c42be9a642a0a0a055630ae4a29ee20b02cefc194","ephStamp":{"blockHashHex":"00000000000000000001ca73158f466d858e955ee0c8a9a30522ec0e5777eabb","nonceHex":"6ee3000000000000"},"replyCount":22,"chainReplyCount":0,"vaporReplyCount":22,"clusterSize":37,"receiptHeight":974686,"expiryHeight":979006,"authorMarks":{"since":"2026-11-05T13:05:44.800Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en"}],"nextCursor":null,"pageReceipt":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T20:27:20.802Z","sig":"6d0fd24b50993cc2cb0591665194199064a52a2ac1b0e5c766c2e983411bc694779b639c4f1b21dda9c6775f99c36521d2564945e127d22c2cc198986fe6f2f3"},"marks":{"since":"2026-11-05T13:05:44.800Z","via":"sight","inscribed":0,"likes":0,"biases":0}}