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𓀐 @Tiyw~rUA: Seed That Has My Girlfriend Edition 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

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 @6Y34S5wr: Another thread so blessed that it got deleted, looooooooooooooooooooooooooool.+

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𓀐 @FTPEP?k2: please remember to behave yourselves+

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𓀐 @mjzpXvKa: my gen is not in the collage therefore i will participate in the other thread that is+

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𓀐 @9rSS=6jk: Delete fail bake?+

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𓀐 @ZhwssaJ=: >mfw Resource news 06/11/2025 >HunyuanCustom inference code and model weights released https://github.com/Tencent-Hunyuan/HunyuanCustom#-news >Towards Vision-Language-Garment Models For Web Knowledge Garment Understanding and Generation https://georgenakayama.github.io/AIpparel >WanGP 5.4 w/ Hunyuan Video Avatar Support (Runs in 10GB) https://github.com/deepbeepmeep/Wan2GP#may-28-2025-wangp-v54 >MARBLE: Material Recomposition and Blending in CLIP-Space https://marblecontrol.github.io >Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels https://genintel.github.io/DIY-SC >Invisible Backdoor Triggers in Image Editing Model via Deep Watermarking https://github.com/aiiu-lab/BackdoorImageEditing >ContentV: Efficient Training of Video Generation Models with Limited Compute https://contentv.github.io >AliTok: Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model https://github.com/ali-vilab/alitok >MokA: Multimodal Low-Rank Adaptation for MLLMs https://gewu-lab.github.io/MokA >FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing https://flowdirector-edit.github.io >ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development https://github.com/AIDC-AI/ComfyUI-Copilot >ComfyUI Blog: Subgraphs Are Coming to ComfyUI https://blog.comfy.org/p/subgraphs-are-coming-to-comfyui >Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector https://github.com/heboyong/Diffusion-Domain-Teacher >RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors https://github.com/pralab/RAID >Image Editing As Programs with Diffusion Models https://github.com/YujiaHu1109/IEAP >Vocabulary-free few-shot learning for Vision-Language Models https://github.com/MaxZanella/vocabulary-free-FSL >RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions http://refedit.vercel.app+ 5

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𓀐 @6cB=CHrn: Thank you bro!+

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𓀐 @L=qzTE5G: thank you bro sometimes i poop myself at night and then i crawl through the room but then i remember to get on the pc and check the newest news and everything is just great+

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𓀐 @GppDA83Q: Ohh, ah... fuck, I'm flattered... but, well I just finished... not that I'm complaining... but, is Ok, is Ok, I will give my best. Thank y-you for the news... they get me soooooooooooooo hard.+

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𓀐 @m+XB53K2: year old news >mfw Today's Resource news 11/05/2026 >NitroFusion2: Bringing Adversarial Loss to the Text Stream of Multimodal Diffusion Transformers https://chendaryen.github.io/NitroFusion2.github.io >UniRestorer++: Scalable Universal Image Restoration with Multi-Granularity Degradation Modeling https://github.com/mrluin/UniRestorer_plusplus >ChatR Labs Qwen-Image-2.1 Uncensored Omni — Quantized https://huggingface.co/chatrlabs/Qwen-Image-2.1-Uncensored-Omni-Quantized >VideoColorMatch: Auto-Fix Color Drift from V2V Generations https://github.com/pftq/VideoColorMatch >Pyramid-JiT: Training a Text-to-Image Model for $21K https://huggingface.co/Linum-AI/pjit-21k https://github.com/PedroMarinhoDev/ComfyUI-PJiT >Vimoo-1.0-Lite-ComfyUI https://huggingface.co/Vimoo-AI/Vimoo-1.0-Lite-ComfyUI >NanoKV: High-Ratio KV Cache Compression for Autoregressive Video Generation https://jiacheng-lu03.github.io/NanoKV >FrameScout: Scouting Query-Relevant Frames for Long Video Understanding https://github.com/Hubert-1102/FrameScout >LayerShop 0.20: Prompt Enhancement, Batch Rendering & Styles https://github.com/SlavomirDurej/layershop/releases/tag/layershop-v0.20.1-preview.1 11/04/2026 >TaoMate-HD: Progressive-Resolution Autoregressive Audio-Video Generation https://taoliveaigc.github.io/TaoMate-HD >AuroraIMG2-100M: 100.6M-parameter flow-matching diffusion transformer and a 44.9M-parameter text encoder https://huggingface.co/AuroraAI-Research/AuroraIMG2-100M >Kandinsky S2V 1.0 - 2B and 21B models https://kandinskyavatar.github.io >BluePixel-Turbo: Native 4K instruction-based image editing in 4 steps https://huggingface.co/openvivo/BluePixel-Turbo >Viggle Remake: Remake any video. Just ask https://huggingface.co/Viggle/Viggle-Remake >History Forcing: Distilling History-Dependent Continuations for Long-Horizon Video World Models https://ziplab.co/History-Forcing-Project-Page+ 1

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𓀐 @zt=Ay=pf: Common! Turkeys are expensive!!+

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𓀐 @6~+?tyNV: >mfw Research news 06/11/2025 >SeedEdit 3.0: Fast and High-Quality Generative Image Editing https://seed.bytedance.com/tech/seededit >CIVET: Systematic Evaluation of Understanding in VLMs https://arxiv.org/abs/2506.05146 >Refer to Anything with Vision-Language Prompts https://Ref2Any.github.io >HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation https://research.nvidia.com/labs/dir/hmar >Multi-scale Image Super Resolution with a Single Auto-Regressive Model https://arxiv.org/abs/2506.04990 >APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval https://arxiv.org/abs/2506.04953 >Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations https://arxiv.org/abs/2506.04951 >DualX-VSR: Dual Axial Spatial$\times$Temporal Transformer for Real-World Video Super-Resolution without Motion Compensation https://arxiv.org/abs/2506.04830 >Robust Few-Shot Vision-Language Model Adaptation https://hannawang09.github.io/projects/srapf >HoliSafe: Holistic Safety Benchmarking and Modeling with Safety Meta Token for Vision-Language Model https://youngwanlee.github.io/holisafe >Gen-n-Val: Agentic Image Data Generation and Validation https://arxiv.org/abs/2506.04676 >Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts https://arxiv.org/abs/2506.04673 >FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion https://fps.ziplab.co >Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders https://arxiv.org/abs/2506.04641 >Video World Models with Long-term Spatial Memory https://spmem.github.io >Contrastive Flow Matching https://arxiv.org/abs/2506.05350 >Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos https://Perceive-Anything.github.io+ 1

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𓀐 @uc+y_S?r: year old news >mfw Research news 11/05/2026 >DualCast: Dual-Image Conditioned Diffusion Transformers for Digital Human E-Commerce Video Generation https://arxiv.org/abs/2611.05825 >DecoupAttn: Decoupled Sparse Attention for Training-Free Acceleration of Video Diffusion https://arxiv.org/abs/2611.05917 >Whose Values Are Generated? Measuring Visual Value Leakage in Multilingual Text-to-Image Generation https://arxiv.org/abs/2611.05578 >Chronos: Sequential Identity-Preserving Video Generation by Temporal Anchoring https://arxiv.org/abs/2611.05893 >PATTS: Parallel-Aware Test-Time Scaling for Thought-Image Generation in Multimodal Discrete Diffusion LLMs https://arxiv.org/abs/2611.04948 >NextGAN: Towards Simple and Scalable GAN Training for Image and Video Generation https://arxiv.org/abs/2611.06270 >Decompose the Distillation: Interpretable Single-Pass Guidance for Diffusion Models https://arxiv.org/abs/2611.05755 >Intra-Architecture Source Attribution for Stable Diffusion: A New Task with Benchmark Dataset and Baseline https://arxiv.org/abs/2611.06000 >Clips2Story: Training-Free Video Storyboarding and Editing Using Multimodal Retrieval-Embedded Generation https://arxiv.org/abs/2611.05992 >Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling https://arxiv.org/abs/2611.04916 >Wonder 4: A Mixture-of-Experts Recipe for Image Quality Enhancement https://arxiv.org/abs/2611.05294 >SVGFaith: A Two-Layer Meta-Evaluation of Faithfulness Metrics for Text-to-SVG Generation https://arxiv.org/abs/2611.06048 >The Pen is Mightier than the Pixel: Natural Textual Unlearnable Example for Large Vision Language Models https://arxiv.org/abs/2611.04817 >ScoreDial: Precise Control of Visual Attributes in Image Generation via Regressor Guidance from Limited Human Ratings https://arxiv.org/abs/2611.05004 >CleanVideo: Adaptive Concept Erasure for Text-to-Video Diffusion Models https://arxiv.org/abs/2609.20267+

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𓀐 @fL?qa_VG: subject should be >/ldg/ - Local Diffusion General+ 1

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𓀐 @3iGsuWXp: What a fascinating and useful rule Nothing fail about it+

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𓀐 @Dc_i4EHe: i take back what ive said about fizgigs default preset not being able to train a good character lora, turns out it was my broken kromoss merge. (its still not as good as i would like but its much better, i reckon 20 more epochs would push it to 95% likeness). Also went back and tested my old prompts again and found out it can also do sims4 screenshot as well. Also anyone interested in a gso-rco int4 convrot quant of kromoss once the full version of that comes out?+

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𓀐 @v2wwKJ5G: I deleted but you're a faggot.+ 3

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𓀐 @BYFcEhS6: Post one minute earlier next time, it's not that deep.+ 2

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𓀐 @gV56W95f: You baked when anon called he was baking. The only reason you were earlier is because you rushed your collage and didn't bother fixing the Subject.+ 1

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𓀐 @v-mbmYgc: Imagine caring this autistically about schizo infested dead general about posting 1girl slop. I know this might seem inconceivable to you, but I did not see that post, which was made 60 seconds before I posted this general, because I am not constantly reading every single post made there at the exact instant they are made. And I sure hope you are not doing that.+

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𓀐 @9ufkPULK: We're all friends here.+

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𓀐 @smF82MX?: Go to workflow/model for anime to realism? I was having some success with a simple img2img workflow I put together but was wondering about edit models and such? how the new qwen edit? Im rather out of the loop..+ 4

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𓀐 @dxa*jPiZ: Klein can but that anime2real stuff looks like uncanny shit to me so I can't really judge.+

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𓀐 @_-DrT46Y: you asked this the other day and got your answer+ 2

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𓀐 @jQUrvTEQ: replied to a bot nvm im retarded+

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𓀐 @~qqNd+uk: i did not, i asked in the thread that was deleted just a bit ago though+

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𓀐 @-CKFAvvB: malcolmrey's moss loras are awful even by his usual low standards. Legit broken junk. Either producing deformed images or showing very poor likeness. The weird serenity experiment seems bad as well (at least the lora extract, I am not downloading the whole checkpoint)+ 3

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𓀐 @TDa~fbHm: Why don't you make better loras then?+ 2

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𓀐 @_44MB~w?: Imagine gathering and captioning isn't the problem. I don't want to spend a lot of time tinkering with parameters to see what works and what doesn't, I don't want to shit out slightly less mediocre crap and call it a day neither. I doubt there is a just works parameter meta. There is little information out there.+ 1

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𓀐 @nx3eXcYP: >I doubt there is a just works parameter meta. You can try mine, they worked great on both my half asses 20 img dataset and my 200+ img run. alpha: 1 rank: 16 for style, 32 for char lr: 5e-5 for style, 1e-4 for char opt: adamw8bit scheduler: constant ema: off for style, 0.98 for char timestep sampling: truncated logit-normal logit mean: −1.09 logit standard deviation: 0.95 discrete flow shift: 1.0 50 epochs for style and 70 for char. Or, again, you could just have astra research and set it up for you desu.+

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𓀐 @i+VHtjxs: How autistic are you with your noodle organizing? Me, very VERY autistic. >Unpack main sub-graph >Untangle the spaghetti monster >Organize nodes without creating another spaghetti monster >Each node must be separated by 3 grid units >Nodes must be parallel to each other, unless it breaks symmetry >Organization must be pretty and symmetrical+ 2

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𓀐 @Q6mFV4*R: bruh, all you need.+ 1

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𓀐 @ZKG*vz_?: Yue2 disagrees heavily. That was just the untangling phase after unpacking the sub-graph. I should have added that was a work in progress.+

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𓀐 @Tj5PmUe~: >this was capable with 1.5 we regressed+

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𓀐 @yfh_KC2f: Trust me, I've trained all these LoRAs on ACEStep. I've even tried different ranks for one of them. It's not as good, and certainly not as stable as YuE 2 (especially with adherence to lyrics). Some of my LoRA results were okay, but they were easier genres/artists than the YuE ones I've shared (E.G. slower BPM). ACEStep is good, but it's been surpassed on the technical side of things (like SDXL vs Flux.1). I noticed ACEStep devs have updated their discord to "Ace Music", let's see if they release 2.0 if they have that ready, or if it's a cloud-only offering.+

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𓀐 @iSax-??m: what are the best tools for nude edits right now+

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