News / #image-gen Tag Image Gen 160 articles archived under #image-gen · RSS Sign in to follow Hugging Face Daily Papers research 2mo ago Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting Abstract Multi-concept customization in text-to-image generation is improved through prompt-aware weighting strategies that reduce interference between learned visual concepts. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Low-Rank Adaptation (LoRA) successfully enables… 5 Hugging Face Daily Papers research 2mo ago Do Text Edits Generalize to Visual Generation? Benchmarking Cross-Modal Knowledge Editing in UMMs Abstract Research reveals significant disparities between text and image generation capabilities in multimodal models, with effective textual knowledge editing not transferring reliably to visual output, necessitating modality-aware editing approaches. Generated by… 9 r/MachineLearning community 2mo ago Research in Image/Video Gen AI models [D] I've been going down a rabbit hole with image/video generation/editing models for a few months now, started with playing around with Stable Diffusion and ComfyUI, then got genuinely hooked on understanding why things work, not just that they do. I have an Engineering background… 20 The Information — AI news-outlet 2mo ago Cybersecurity’s AI Paradox It's no secret that criminals are using AI to streamline computer hacks in hopes of emptying out people’s bank accounts (never has it looked more appealing to stash cash under the mattress!). Cybersecurity executives, meanwhile, are rubbing their hands with glee at the influx of… 32 Hugging Face Daily Papers research 2mo ago Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation Abstract Decoupled Residual Denoising Diffusion models (DRDD) improve unified image-to-image translation by separating noise diffusion for domain harmonization from residual diffusion for semantic mapping, enhancing data efficiency and performance. Generated by… 32 r/LocalLLaMA community 2mo ago 1-bit Bonsai Image 4B and Ternary Bonsai Image 4B Image Generation for Local Devices with just 0.93 GB and 1.21 GB respectively of Diffusion Transformer Footprint. So tiny! https://prismml.com/news/bonsai-image-4b   submitted by   /u/Addyad [link]   [comments] 6 Hacker News — AI on Front Page community 2mo ago Adafruit Receives Demand Letter from Fenwick Legal Counsel on Behalf of Flux.ai Article URL: https://blog.adafruit.com/ Comments URL: https://news.ycombinator.com/item?id=48368121 Points: 255 # Comments: 87 11 arXiv — Machine Learning research 2mo ago CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Prediction arXiv:2606.00338v1 Announce Type: new Abstract: Methane is a potent greenhouse gas that significantly contributes to global warming. However, accurately estimating global methane emissions and consumption remains challenging due to the complex interactions among environmental… 28 Hugging Face Daily Papers research 2mo ago Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Abstract BiDPO enhances text-to-image models for complex compositional prompts through preference-based fine-tuning and region-level guidance. AI-generated summary Despite the rapid progress of text-to-image (T2I) models, generating images that accurately reflect complex… 18 Hugging Face Daily Papers research 2mo ago Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization Abstract GCPO enables per-token credit assignment in reinforcement learning by contrasting model predictions under positive and negative prompts, improving performance in text-to-image generation and chain-of-thought reasoning tasks. AI-generated summary Group-advantage-based… 27 Hugging Face Daily Papers research 2mo ago Representation Forcing for Bottleneck-Free Unified Multimodal Models Abstract Representation Forcing enables unified multimodal models to perform both perception and generation tasks end-to-end without relying on external latent spaces, matching state-of-the-art performance in image generation while improving understanding capabilities.… 27 Hacker News — AI on Front Page community 2mo ago 1-Bit Bonsai Image 4B Image Generation for Local Devices Article URL: https://prismml.com/news/bonsai-image-4b Comments URL: https://news.ycombinator.com/item?id=48346257 Points: 228 # Comments: 81 36 r/LocalLLaMA community 2mo ago Should I buy this RTX 2060 12GB graphics card at around $260 for AI purpose ? I’m interested in running Gemma 4 model/s for text only . It runs smooth even on my laptop but gets crazy hot. Initially wanted to buy an 8 GB card. But I find this price for 12 GB good. (Maybe I can run some image generation models too. But its not important.) It has 6 Month… 10 r/LocalLLaMA community 2mo ago Could someone make some ggufs for Qwen-Image-Bench? I'd like to try it out for automating image generation quality output, I haven't had great luck with that using 27b base or gemma. If this can reliably detect 6 fingered generations and other undesirable outputs it would be a great boon. I took a swing and quantizing it myself… 30 arXiv — Machine Learning research 2mo ago Moment Matching Q-Learning arXiv:2605.29033v1 Announce Type: new Abstract: Score-based and flow-based generative models exhibit remarkable expressive capacity in capturing complex distributions, and have been extensively deployed in tasks ranging from image generation to reinforcement learning.… 31 Hugging Face Daily Papers research 2mo ago GenClaw: Code-Driven Agentic Image Generation Abstract GenClaw presents a code-driven agentic image generation framework that enables precise visual construction through conceptualization, sketching, and coloring stages, integrating programmatic logic with generative models. AI-generated summary Image generation models have… 8 r/LocalLLaMA community 2mo ago Qwen/Qwen-Image-Bench · Hugging Face Model Description Q-Judger is a vision-language model fine-tuned specifically for automated evaluation of text-to-image generated images. Given a text prompt and a generated image, the model evaluates the image on fine-grained quality criteria organized in a 3-level hierarchy… 8 arXiv — NLP / Computation & Language research 2mo ago ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment arXiv:2605.27374v1 Announce Type: new Abstract: Recent advances in multimodal large language models (MLLMs) and diffusion models (DMs) have opened new possibilities for AI-generated content. Yet, personalized cover image generation remains underexplored, despite its critical… 26 arXiv — NLP / Computation & Language research 2mo ago PAST2HARM: A Simple Adaptive Past Tense Attack for Jailbreaking Multimodal AI arXiv:2605.27545v1 Announce Type: new Abstract: Jailbreak attacks on multimodal AI systems remain underexplored, even though unsafe image generation can have more severe consequences than unsafe text and current defenses are relatively immature. We introduce PAST2HARM, a simple… 38 Hugging Face Daily Papers research 2mo ago MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale Abstract A 20B-parameter masked region diffusion model enables scalable multi-layer transparent image generation and editing through unified task handling and efficient canvas management. AI-generated summary Layered image generation and editing is a fundamental capability that… 21 arXiv — Machine Learning research 2mo ago Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models arXiv:2605.26491v1 Announce Type: new Abstract: Preference optimization has emerged as an efficient alternative to online reinforcement learning from human feedback (RLHF) for aligning text-to-image diffusion models. However, existing methods largely reduce supervision to binary… 10 arXiv — Machine Learning research 2mo ago On the Error-Correcting Effects of Stochasticity in Discrete Diffusion arXiv:2605.26582v1 Announce Type: new Abstract: Discrete diffusion models achieve strong performance in text and image generation, but their inference remains slow and must inherently balance sampling efficiency and sample quality. In this work, we present a systematic study of… 8 arXiv — Machine Learning research 2mo ago RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models arXiv:2605.26632v1 Announce Type: new Abstract: Diffusion Transformers (DiT) achieve strong performance in image generation but incur substantial inference costs. While prior work has reduced this cost via quantization and distillation, semi-structured sparsity, which can nearly… 27 Hugging Face Daily Papers research 2mo ago Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation Abstract A novel approach conditions diffusion models on multimodal large language models for subject-driven image generation, combining text and reference image encoding with VAE-based identity conditioning to improve both semantic understanding and identity preservation.… 7 Hugging Face Daily Papers research 2mo ago RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models Abstract Diffusion Transformers achieve strong image generation performance but face high inference costs; this work proposes RT-Lynx, which uses activation sparsification and optimized CUDA kernels to accelerate inference while maintaining generation quality. AI-generated… 27 r/LocalLLaMA community 2mo ago PrismML just released Binary and Ternary Bonsai Image 4B: 1-bit/ternary text-to-image diffusion transformers that can even run 100% locally in your browser on WebGPU. The PrismML team really cooked with these models. They're only ~3GB in size (compared to FLUX.2 Klein 4B, which is ~16GB). Apache-2.0! Official collection on HF: https://huggingface.co/collections/prism-ml/bonsai-image Link to demo:… 11 Hugging Face Daily Papers research 2mo ago Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference Abstract Visual Concept Fusion enables dual text and image conditioning in diffusion models through feature alignment and fusion strategies without requiring retraining. AI-generated summary Text-to-image diffusion models like Stable Diffusion generate high-quality images from… 35 Hugging Face Daily Papers research 2mo ago Reinforcing Few-step Generators via Reward-Tilted Distribution Matching Abstract RTDMD is a two-stage framework that combines distribution matching distillation with reward-guided reinforcement learning to improve few-step image generation alignment with human preferences. AI-generated summary Recent advances in few-step diffusion distillation have… 30 Hugging Face Daily Papers research 2mo ago Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models Abstract Lens is a compact 3.8B-parameter text-to-image model achieving superior performance with reduced training compute through dense caption datasets, multi-resolution batching, efficient architecture, and optimization techniques. AI-generated summary We introduce Lens, a… 19 Hugging Face Daily Papers research 2mo ago ETCHR: Editing To Clarify and Harness Reasoning Abstract A novel image editing approach called ETCHR is introduced that decouples visual reasoning from image generation, improving multimodal language model performance across multiple visual reasoning tasks through a two-stage training process. AI-generated summary Multimodal… 7 Hugging Face Daily Papers research 2mo ago AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment Abstract AutoRubric-T2I automatically generates and selects explicit rubrics to guide Vision-Language Model judges for text-to-image generation, achieving high-quality reward signals with minimal human annotation while improving generation quality in downstream tasks.… 36 Hugging Face Daily Papers research 2mo ago RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Abstract Discrete autoregressive text-to-image models suffer from latent covariate shift during policy optimization, which RankE addresses through end-to-end co-evolution of policy and decoder components. AI-generated summary Discrete autoregressive (AR) text-to-image (T2I)… 9 Hugging Face Daily Papers research 2mo ago SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers Abstract SEGA improves high-resolution text-to-image generation by adaptively scaling attention across RoPE components based on spatial-frequency structure during denoising steps. AI-generated summary Diffusion transformers (DiTs) have emerged as a dominant architecture for… 33 Hugging Face Daily Papers research 2mo ago GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation Abstract A self-evolving image generation framework uses tool-orchestrated trajectories and visual experience distillation to improve generative capabilities through iterative learning and reference-based prompting. AI-generated summary Open-ended image generation is no longer a… 19 Smol AI News news-outlet 2mo ago not much happened today **RAEv2** advances representation-first tokenization with **>10x faster convergence** and improved generation, tested on **text-to-image** and **world models**. **NVIDIA's Gated DeltaNet-2** innovates linear attention with channel-wise gates, outperforming **KDA** and… 23 Hugging Face Daily Papers research 2mo ago OcclusionFormer: Arranging Z-Order for Layout-Grounded Image Generation Abstract OcclusionFormer addresses inter-object occlusion challenges in layout-to-image generation by modeling explicit Z-order priority through diffusion transformers and volume rendering techniques. AI-generated summary Recent layout-to-image models have achieved remarkable… 36 Hugging Face Daily Papers research 2mo ago PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset Abstract A large-scale UHR image-text dataset and evaluation benchmark are introduced to advance ultra-high-resolution text-to-image generation capabilities. AI-generated summary Text-to-Image (T2I) models have recently seen notable progress around 1K and 2K resolution. With the… 29 r/LocalLLaMA community 2mo ago bytedance released an open source model that attempts to do just about anything with only 3b parameters Lance is a lightweight native unified multimodal model that supports image and video understanding, generation, and editing within a single framework. Efficient at 3B scale. With only 3B active parameters , Lance delivers strong performance across image generation, image… 32 arXiv — Machine Learning research 2mo ago Systematic Optimization of Real-Time Diffusion Model Inference on Apple M3 Ultra arXiv:2605.16259v1 Announce Type: new Abstract: While real-time image generation using diffusion models has advanced rapidly on NVIDIA GPUs, systematic optimization research on non-CUDA platforms such as Apple Silicon remains extremely limited. In this study, we conducted… 32 Hugging Face Daily Papers research 2mo ago Efficient Image Synthesis with Sphere Latent Encoder Abstract A decoupled framework for few-step image generation that improves efficiency and performance by separating pixel-space operations from latent denoising training. AI-generated summary Few-step image generation has seen rapid progress, with consistency and meanflow-based… 15 Hugging Face Daily Papers research 2mo ago InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation Abstract InsightTok improves discrete visual tokenization for better text and face reconstruction through content-aware perceptual losses, enhancing autoregressive image generation quality. AI-generated summary Text and faces are among the most perceptually salient and… 12 Hugging Face Daily Papers research 3mo ago Aligning Latent Geometry for Spherical Flow Matching in Image Generation Abstract Geodesic flow matching improves image generation by projecting latents onto fixed radius spheres and using spherical linear interpolation instead of linear paths, preserving semantic content through angular components. AI-generated summary Latent flow matching for image… 26 Hugging Face Daily Papers research 3mo ago Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning Abstract Realiz3D addresses the domain gap between synthetic renders and real images in 3D-consistent image generation by decoupling visual domain from control signals through residual adapters and layer-specific denoising strategies. AI-generated summary We often aim to… 19 Hugging Face Daily Papers research 3mo ago Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning Abstract A closed-loop visual reasoning framework integrates visual-language planning with diffusion generation to improve complex image synthesis while addressing latency and optimization challenges. AI-generated summary Despite rapid advancements, current text-to-image (T2I)… 14 Hugging Face Daily Papers research 3mo ago Does Synthetic Layered Design Data Benefit Layered Design Decomposition? Abstract Synthetic layered image data improves graphic design decomposition by enabling scalable training and better layer distribution control compared to traditional methods. AI-generated summary Recent advances in image generation have made it easy to produce high-quality… 35 r/LocalLLaMA community 3mo ago Built an open-source one-prompt-to-cinematic-reel pipeline on a single GPU — FLUX.2 [klein] for character keyframes, Wan2.2-I2V for animation, vision critic with auto-retry, music + 9-language narration in the same pipeline Shipped this for the AMD x lablab hackathon. Attached video is one of the actual reels the pipeline produced - one English sentence in, finished mp4 with characters, story, music, and voice-over out (fast demo video, not the best quality). ~45 minutes end-to-end on a single AMD… 13 Hugging Face Daily Papers research 3mo ago Asymmetric Flow Models Abstract Asymmetric Flow Modeling enables efficient high-dimensional flow-based generation by restricting noise prediction to low-rank subspaces while maintaining full-dimensional data prediction, achieving superior performance in pixel-space text-to-image generation through… 12 Hugging Face Daily Papers research 3mo ago Images in Sentences: Scaling Interleaved Instructions for Unified Visual Generation Abstract INSET is a unified multimodal model that embeds images as native vocabulary within textual instructions, enabling better handling of complex interleaved inputs through transformer-based contextual locality and supporting both image generation and editing tasks.… 34 r/MachineLearning community 3mo ago Image generation models running locally on limited resources [P] I have a project consisting of generating high quality free ebook covers out of its content. On my 16GB of ram machine with no gpu, i have tested the opensourced stable diffusion models without any success. All return bad quality covers with blurred faces and scenes that do not… 6 arXiv — Machine Learning research 3mo ago Efficient Adjoint Matching for Fine-tuning Diffusion Models arXiv:2605.11480v1 Announce Type: new Abstract: Reward fine-tuning has become a common approach for aligning pretrained diffusion and flow models with human preferences in text-to-image generation. Among reward-gradient-based methods, Adjoint Matching (AM) provides a principled… 30 Page 3 of 4 · 160 articles ← Newer Older →
