{"contentHash":"b22b8f7b0407a6d02c8332ab6fe5b3f7dde711306959da8ac0718f0b75541ab5","protocol":"bitcoin","authorPubkey":"5626c464b5dffbda0fa52907e4cd39b34e7130a663cff83d6b6372c9707fb129","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 >Local Text >>>/g/lmg >Maintain Thread Quality https://rentry.org/debo https://rentry.org/animanon","topicHash":"913c62c2ee31793c7e8517600dbc8f0c337afae133700a128a7d8ffb8a21c93e","topicName":"technology","parentHash":"db25d1f574ada572b92b68c44a797cfea74a8284cf264cbe09a2b1eebec1b6aa","costSunk":"0","biasSupport":0,"biasOppose":0,"biasVouch":0,"biasNull":0,"blockHeight":null,"confirmations":0,"timestamp":"2026-11-02T10:06:17.708Z","tripFp":"c5ab9280be29","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"d2ea253faf5dac6a","sig":"5e555e227589e4d2e53530c4cf87e771eee90dc2ceff427087e667f75ad26b088babc20c08276d225926eb7355d28c1e3f8f00933ec522b693f194317552b540","ephStamp":{"blockHashHex":"0000000000000000000078a99967374680cde990f74b1ce6a42f9cc68f3b85ac","nonceHex":"6680000000000000"},"replyCount":16,"chainReplyCount":0,"vaporReplyCount":16,"clusterSize":23,"receiptHeight":974242,"expiryHeight":978562,"authorMarks":{"since":"2026-11-02T09:05:47.492Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en","servedBy":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T19:42:28.748Z","sig":"6c5da98defd148e556ab164ca81c6fb9fe72e290cc23a559c072d4259c10f890b72811b542467125b24cdf4f83a0e5b3d41820a242304947dcc351f9a553021c","h":"00000000000000000001e22bd31fbac6b11e9cb6f5b0df8bb85edfbe01a241f1"}}