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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 >Maintain Thread Quality https://rentry.org/debo https://rentry.org/animanon

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𓀐 @?6z8hAM4: what does the kroma lora do for krea2 and why should i not take it+

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𓀐 @V6?Aokt_: Also, turbo lora rapes details.+

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𓀐 @xVRWE9wK: erm excuse me, old thread isn't at bump limit yet+

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𓀐 @M6bN9x6b: >mfw Research news 11/07/2026 >FlowRig: Unified Skeleton Generation for 3D and 4D Meshes via Flow Matching https://tamu-visual-ai.github.io/FlowRig >Computer Vision Applications for Art History: Reflections and paradigms for future research https://arxiv.org/abs/2611.02649 >TaoMate-FVSR:Audio-Guided Facial Video Restoration https://arxiv.org/abs/2611.03393 >Is This 3D Asset Usable? Beyond the Beauty Render for Asset Curation https://rbz-99.github.io/is-this-3d-asset-usable >UniCross3D: Unified Cross-View and Cross-Domain Diffusion for Consistent Single-Image 3D Generation https://arxiv.org/abs/2611.02631 >OmniOPD: Stable On-Policy Distillation for Joint Audio-Video Generation https://arxiv.org/abs/2611.02803 >What Remains in Sight? Autoregressive Video Decoding as Representation-Guided Context Rewriting https://arxiv.org/abs/2611.04164 >FlowTranslator: Training-Free In-Image Machine Translation with Flow-Based Editing https://arxiv.org/abs/2611.04303 >EmoReward: Self-Evolving Reward Calibration for Emotional Video Generation RL https://arxiv.org/abs/2611.06518 >Unlocking the Potential of Contrastive Regularization for Diffusion Transformer Training https://arxiv.org/abs/2611.02921 >FFMT: Frequency-Factorized Multi-Rate Tokenization for Music-to-Dance Generation https://arxiv.org/abs/2611.07384 >Generator-Aligned Reward Modeling with Target-Aware Bounded Optimization for Visual Generation https://arxiv.org/abs/2611.07648 >PTQ4SAM3: Semantics-Preserving Post-Training Quantization for Segment Anything Model 3 https://arxiv.org/abs/2611.06143 >Unaligned Image Guided Denoising via Cross-modal Conditional Flow Matching https://arxiv.org/abs/2611.06422 >TRACEMARK: Editor-Aware Watermarking for User Attribution in Text-Guided Image Editing https://arxiv.org/abs/2611.07632 >BISECT: Bilevel Spectral Decomposition for Low-Rank Continual Learning https://arxiv.org/abs/2611.03574 >Scaling Laws for Multimodal Data Mixtures https://arxiv.org/abs/2610.14423+

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𓀐 @J7*3bw?2: >MOSS put in a pussy i didn't ask for >a real good one >puffy >intricately detailed >3MP me cum+

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𓀐 @6njPcRL~: I know you won't believe me, but you're better off genning at 1MP and adding more steps than going 3MP. moss isn't going to add more details to your gens beyond 1MP and it only marginally make small details more clear.+

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𓀐 @GewaLZWT: Thread Challenge: gigantic breasts+

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𓀐 @nf7Xn_NW: gm saars+ 1

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𓀐 @*VNP*o=D: gm saaaar+

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𓀐 @pztZ=qBx: "slightly chubby" = morbidly obese for krea2. moss ignores it completely. do i have to describe each roll of fat or what+ 2

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𓀐 @uDnHewWZ: Give qwen an image of "slightly chubby" and borrow how it describes it+ 1

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𓀐 @Q_QiVPJn: interdasding+

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𓀐 @q4+Pg_Pd: Only an hour of training and MOSS nailed the character down to a T, including her lack of joints. Very impressive stuff, and at 768x res. I am such a lazy fuck i don't want to keep it cooking another hour but i should, i do want the outfits working. Some of the gens are slightly more realistic than others, it flips between giving her realistic hair and that one solid 3d model chunk like in picrel.+ 6

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𓀐 @go=LTkSS: >just noticed the third ghost leg gonna KMS. probably an issue of the turbo lora though non-turbo all the gens were fine anatomy wise.+

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𓀐 @Jq4?Qi~S: >Only an hour of training and MOSS nailed the character down to a T >Krea 2-er_sde-1.0-8-2026-(...).png ?+ 4

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𓀐 @iNeSHikB: HAH nice catch thanks, i didn't notice my MOSS workflow still has the KREA 2 workflow names in my save image node. Doii.+ 3

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𓀐 @yyU8s29W: Happens to the best of us.+ 2

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𓀐 @NyxBjAKs: yeah im genuinely in the middle of throwing my krea 2 datasets in for training and not touching any training settings, funny i didn't even give myself time to once over my workflow for MOSS. Will remember to. also cute butterface there man.+

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𓀐 @fJs94V32: tfw no recessed chin text neck gf+

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𓀐 @wGy4rr4g: >mfw Resource news 11/07/2026 >P-H3-Image pDMD 2-Step LoRA https://huggingface.co/akhaliq/p-h3-image-pdmd-2step >HyperFlow H3 Flash (14B) https://huggingface.co/VideoRebirthAI/hyperflow-h3-flash >gputaskman: An htop for what's inside your GPU https://github.com/shanselman/gputaskman 11/06/2026 >HyperFlow H3 Flash https://github.com/Video-Rebirth/hyperflow-h3-flash >Pai v1.0.0: painting app with AI generation https://github.com/g45t345rt/paiapp >RelayVSR: Large-Small Model Collaboration for Efficient Real-World Video Super-Resolution https://github.com/kopperx/RelayVSR https://huggingface.co/Comfy-Org/RelayVSR >MIKU: Material Invariance and Knowledge Unification for PBR Generation https://github.com/DreamTechAI/MIKU >TailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing https://lyricccco.github.io/tailsteer >LongBanana: An Expert-Verified Benchmark for Long-Context Multi-Reference Image Synthesis https://long-banana.com >SD-LoRA: Training-Time Structural Distillation into LoRA for Few-Shot Vision-Language Adaptation https://github.com/MR-Sherif/SD-LoRA.git >Guidance Is a Field, Not a Scalar: Interval-Integrated Classifier-Free Guidance for One-Step Video Generation https://github.com/YMlinfeng/AGAVE >IDPrior: Decoupling Identity Generation from Facial Image Synthesis https://github.com/fdbtrs/IDperturb >EDGAR: Efficient Diffusion-Driven Gaussian Avatar Refinement via Synthetic Failure https://kwanyun.github.io/edgar >VA-TDM: A Unified View for Improving Few-Step Diffusion Models by Velocity Adversarial Distillation https://luo-yihong.github.io/VA-TDM >Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties https://github.com/Hpesojyjx/Saccades-AR >Batch-Conditioned Semantic Anchors for Robust Transductive Adaptation of Vision--Language Models https://github.com/MR-Sherif/JPTA.git >ConvPE: Convolutional Position Embedding Improves Transformers https://github.com/wzhagi/convpe+

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𓀐 @?7fPRu6u: got a doggystyle gen in progress, the preview looks really good+ 2

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𓀐 @zmmz=w5_: nevermind it was a disaster+ 1

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𓀐 @nopo=jqN: i remember when prompting that would make a dog run into scene+

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𓀐 @7bJXRWYe: >train lora on highschool crush >generate the view out my peephole of her delivering my food kino+ 2

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𓀐 @wA5V-Np~: >t. mentally ill+

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𓀐 @U2*+7iU7: >t. fully lucid+

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𓀐 @GB~XEEsL: ug i genned a pretty interesting sex scene, but it just looks a little off. the facial expression is a bit weird, one leg looks too long, the sex sounds more like a rocking chair+

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𓀐 @saCL3pq*: Does MOSS make better anime than Anima?+ 1

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𓀐 @5_iW9kdx: define "better anime"+

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𓀐 @X7t3yi+T: redpill me on generating 8k images+

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𓀐 @dLvk3rrJ: Don't know what tin cans you're listening on, but YuE is a clear winner there. Also the 1980s generation I shared. Just way better sound quality. Let's compare these three BANDMAID Babymetal style (hard rock meets metal) Ace Music https://vocaroo.com/1hDMGvqQb9zt YuE 2 RS-FW-2.0x0.75 tune https://vocaroo.com/1gpWqlKuVkkL Minimax Music 3 (not the same lyrics or exact prompt, but similar idea) https://files.catbox.moe/8au6uh.mp3 Also there's this for 1980s rock in the style of ac/dc with higher pitch male vocal YuE 2 RS-FW-2.0x0.75 tune https://vocaroo.com/1hlZ2lbRtfI0 Ace Music 1.0 https://vocaroo.com/17WEbQtiVE2M MM3 can't do this genre so not shared. Now get a pair of high quality headphones (similar to HD 600s which I have). Do you hear the difference anon? Ace Music is Suno-slop maxxed. It sounds like Suno v5/v6. YuE 2 with RS finetune is measurably better, actually it's on par with MM3 sound quality wise while still having way better out of the box knowledge than MM3. YuE 2 RS finetune is the best local music model in existence. The only way for ACE team to redeem themselves is if they give us the tokenizer and we can do perfect covers (not just remixes), but that's a pipe dream at this point.+

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𓀐 @gWi4hgH7: I did this shtick in the SD1.4 days. Not that it's not a good shtick; it is. But I did it. In case anyone forgot.+ 4

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𓀐 @9~H~+tYc: yeah well 1.5 but yeah+ 3

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𓀐 @dA~vh?zZ: The earliest I can find on my HDD are from october 1 2022, 1.5 wasn't released till october 20. So I think it must have been 1.4+ 2

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𓀐 @5fFhn43=: >08134-2579082188-hot cousin Emily, (she's 19). Drunk and sloppy at 2AM, seductive expression. we were fooling around a bit after everyone went to.jpg+ 1

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𓀐 @P_C3cpTs: A1111 saving the prompt in the filename is 90% of why my gens got any attention at all. ComfyUI should have copied this default behavior, imagine how much better the threads would be+

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𓀐 @-QptfS=V: the more complicated the scene the more that can go wrong. with just 3 characters doing stuff i keep rolling seeds that arent to my standard and have decided to give up+

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𓀐 @Hp_XCFsi: moss is crazy useful with bbox. with anatomy book, bbox can be very versatile marker for guessing postures. ive never seen a model works this well.+

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𓀐 @5wo*i69Y: 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+ 3

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𓀐 @~L?fgovP: >mfw Resource news 11/08/2026 >P-H3-Image pDMD 2-Step LoRA https://huggingface.co/akhaliq/p-h3-image-pdmd-2 >HyperFlow H3 Flash (14B) https://huggingface.co/VideoRebirthAI/hyperflow-h3 >gputaskman: An htop for what's inside your GPU https://github.com/shanselman/gputask 11/07/2026 >HyperFlow H3 Flash https://github.com/Video-Rebirth/hyperflow-h3 >Pai v1.0.0: painting app with AI generation https://github.com/g45t345rt/pa >RelayVSR: Large-Small Model Collaboration for Efficient Real-World Video Super-Resolution https://github.com/kopperx/RelayVSR https://huggingface.co/Comfy-Org/Relay >MIKU: Material Invariance and Knowledge Unification for PBR Generation https://github.com/DreamTechAI/MI >TailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing https://lyricccco.github.io/tailst >LongBanana: An Expert-Verified Benchmark for Long-Context Multi-Reference Image Synthesis https://long-e-bananas.com >SD-LoRA: Training-Time Structural Distillation into LoRA for Few-Shot Vision-Language Adaptation https://github.com/MR-Sherif/SD >Guidance Is a Field, Not a Scalar: Interval-Integrated Classifier-Free Guidance for One-Step Video Generation https://github.com/YMlinfeng/AGA >IDPrior: Decoupling Identity Generation from Facial Image Synthesis https://github.com/fdbtrs/IDpert >EDGAR: Efficient Diffusion-Driven Gaussian Avatar Refinement via Synthetic Failure https://kwanyun.github.io/ed >VA-TDM: A Unified View for Improving Few-Step Diffusion Models by Velocity Adversarial Distillation https://luo-yihong.github.io/VA-T >Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties https://github.com/Hpesojyjx/Saccades >Batch-Conditioned Semantic Anchors for Robust Transductive Adaptation of Vision--Language Models https://github.com/MR-Sherif/JP >ConvPE: Convolutional Position Embedding Improves Transformers https://github.com/wzhagi/conv+

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𓀐 @U?q8Sg5F: >mfw Research news 11/08/2026 >FlowRig: Unified Skeleton Generation for 3D and 4D Meshes via Flow Matching https://tamu-visual-ai.github.io/Flow >Computer Vision Applications for Art History: Reflections and paradigms for future research https://arxiv.org/abs/2611.026 >TaoMate-FVSR:Audio-Guided Facial Video Restoration https://arxiv.org/abs/2611.033 >Is This 3D Asset Usable? Beyond the Beauty Render for Asset Curation https://rbz-99.github.io/is-this-3d-asset >UniCross3D: Unified Cross-View and Cross-Domain Diffusion for Consistent Single-Image 3D Generation https://arxiv.org/abs/2611.026 >OmniOPD: Stable On-Policy Distillation for Joint Audio-Video Generation https://arxiv.org/abs/2611.028 >What Remains in Sight? Autoregressive Video Decoding as Representation-Guided Context Rewriting https://arxiv.org/abs/2611.041 >FlowTranslator: Training-Free In-Image Machine Translation with Flow-Based Editing https://arxiv.org/abs/2611.043 >EmoReward: Self-Evolving Reward Calibration for Emotional Video Generation RL https://arxiv.org/abs/2611.065 >Unlocking the Potential of Contrastive Regularization for Diffusion Transformer Training https://arxiv.org/abs/2611.029 >FFMT: Frequency-Factorized Multi-Rate Tokenization for Music-to-Dance Generation https://arxiv.org/abs/2611.073 >Generator-Aligned Reward Modeling with Target-Aware Bounded Optimization for Visual Generation https://arxiv.org/abs/2611.076 >PTQ4SAM3: Semantics-Preserving Post-Training Quantization for Segment Anything Model 3 https://arxiv.org/abs/2611.061 >Unaligned Image Guided Denoising via Cross-modal Conditional Flow Matching https://arxiv.org/abs/2611.064 >TRACEMARK: Editor-Aware Watermarking for User Attribution in Text-Guided Image Editing https://arxiv.org/abs/2611.076 >BISECT: Bilevel Spectral Decomposition for Low-Rank Continual Learning https://arxiv.org/abs/2611.035 >Scaling Laws for Multimodal Data Mixtures https://arxiv.org/abs/2610.144+

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𓀐 @hMsgczXa: Shitbake >Maintain Thread Quality https://rentry.org/debo https://rentry.org/animanon+

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