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40 frames- 2250NewWhose Values Are Generated? Measuring Visual Value Leakage in Multilingual Text-to-Image Generation
Text-to-image (T2I) systems serve users across languages and cultural contexts. However, evaluations of cultural representation focus mainly on recognizable elements such as landmarks, clothing, and activities, overlooking the cultural values that generated images convey. To…
arXiv: image generation - 1558NewEDGAR: Efficient Diffusion-Driven Gaussian Avatar Refinement via Synthetic Failure
EDGAR is a conditional diffusion framework with a fusion block and Mixture-of-Experts that refines degraded Gaussian head avatars by injecting self-supervised identity features, using refined multi-view renderings as pseudo-targets to optimize a single avatar.
Hugging Face Daily Papers - 1329NewIDPrior: Decoupling Identity Generation from Facial Image Synthesis
Large-scale identity-labeled face datasets are essential for training modern face recognition models, yet collecting and annotating such data is costly and raises privacy and ethical concerns. Existing synthetic face generation methods typically derive identities from predefined…
arXiv: image generation - 1328NewStitchEdit: Stitching Depth Priors into Image Editors via Per-Layer Gradient Probing
Text-guided image editing with diffusion models struggles with spatial edits (e.g. manipulating objects, changing viewpoints, manipulating occlusions) that depend on the 3D structure understanding of a scene. Marigold and follow-up work demonstrate that a pretrained diffusion…
arXiv: image generation - 1327NewTRACEMARK: Editor-Aware Watermarking for User Attribution in Text-Guided Image Editing
An image editing service records which user requests each edit, but the edited image itself does not contain this account information. Once the image is downloaded and shared, the service cannot identify the requesting user from the image alone. Embedding a user-specific…
arXiv: image generation
- 335NewGemini Omni 1.2 Flash: Fast and cost-effective with longer clips
Text "Gemini Introducing Gemini Omni 1.2 Flash" surroudned by images of a beehive, animals in conversation, a squid, and a woman walking down a street
Google AI Blog - 334NewComfyUI Image Size Explained: Empty Latent Image, Aspect Ratio and Batch Size
In this video of ComfyUI Nodes Explained, you will learn how ComfyUI sets the size of your image: what the empty latent is, how width and height work, why the same seed gives a new image at a new size, why a bigger image is not always better, why 1080 becomes 1088, how aspect…
pixaroma - 332NewWeLM-Image: A Unified Image Generation Model towards Visual Intelligence
We present \textbf{WeLM-Image}, a unified image foundation model that integrates multimodal understanding into text-to-image generation, instruction-guided editing, and multi-reference synthesis. Designed for single-GPU deployment in WeChat's large-scale consumer applications…
arXiv: image generation - 329NewGPT Image 2.6 Sunburst is now listed on OpenRouter
Text to image and image editing · up to 16 reference images · $30.00 per 1M output image tokens
OpenRouter image model - 328NewGPT Image 2.6 Flare is now listed on OpenRouter
Text to image and image editing · up to 16 reference images · $30.00 per 1M output image tokens
OpenRouter image model
- 327NewImages 2.6Hacker News: image models
- 326NewA Proxy-Based Method for Measuring Racial Disparities in~Text-to-Image~Generators
We present an automated method for auditing text-to-image generators for representational bias against ground-truth demographic benchmarks. Our approach adapts the racial proxy variables used in U.S. antidiscrimination law to provide a fine-grained comparative analysis of…
arXiv: image generation - 324NewChatGPT can now turn text prompts and photos into animated GIFs with OpenAI's Images 2.6 model
OpenAI is adding a GIF feature to ChatGPT. With the new Images 2.6 model, users can create animated GIFs from text prompts or photos and then adjust speed and individual frames. The model's image consistency is strong enough to keep characters recognizable across frames, making…
The Decoder - 323NewSegment What It Can Draw: Querying a Text-to-Image Generator with Its Own Images for Skin Lesion Segmentation
Skin lesion segmentation without annotated masks requires the target to be specified through other cues. Existing approaches rely on dermoscopy-specific rules, annotation-derived model priors, or user-selected regions. A general text-to-image diffusion transformer offers a text…
arXiv: image generation - 321NewLongBanana: An Expert-Verified Benchmark for Long-Context Multi-Reference Image Synthesis
We introduce LongBanana, to our knowledge the first expert-designed and expert-verified benchmark for long-context multi-reference image synthesis in the age of agent-driven image generation. The task requires retrieving dispersed visual evidence, rejecting distractors, binding…
arXiv: image generation
- 320NewContext-Aware Autoregressive Image Generation for Emerging Reasoning Properties
Autoregressive image generation has recently emerged as a competitive visual generation paradigm, yet its generation order is often predefined or heuristic, such as next-patch prediction, random-order prediction, or one-step generation for specific scales. We observe that these…
arXiv: image generation - 319NewTailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing
Strong single-turn editing performance does not guarantee reliable multi-turn interaction: as edited outputs are repeatedly reused, small unintended changes can accumulate into severe visual drift. This long-term drift is often mitigated through training on multi-turn data or…
arXiv: image generation - 309NewIntroducing Images 2.6
Images 2.6 brings faster image generation, GIF creation, more precise editing, and new API controls across ChatGPT, Codex, and the API.
OpenAI News - 307NewWhose Values Are Generated? Measuring Visual Value Leakage in Multilingual Text-to-Image Generation
Text-to-image (T2I) systems serve users across languages and cultural contexts. However, evaluations of cultural representation focus mainly on recognizable elements such as landmarks, clothing, and activities, overlooking the cultural values that generated images convey. To…
arXiv: image generation - 303NewMiniMax H3 in ComfyUI | Character Swap, Talk, Sing & Timeline (Ep41)
In this episode, we test MiniMax H3 in ComfyUI with 25 free workflows, plus 2 bonus workflows. H3 is a video model that makes video with sound, from your images, videos and audio. We test them all, and see what H3 does well and where it struggles. Part 1, change your video: a…
pixaroma
- 302NewPATTS: Parallel-Aware Test-Time Scaling for Thought-Image Generation in Multimodal Discrete Diffusion LLMs
Test-time scaling (TTS) improves generative models by allocating additional inference-time computation to sampling, search, and verification. Existing image generation approaches, however, typically rank completed images or image-centric intermediate states. We study TTS for…
arXiv: image generation - 299NewFlowTranslator: Training-Free In-Image Machine Translation with Flow-Based Editing
In-image machine translation (IIMT) replaces text in an image with its translation while preserving the surrounding visual context. Existing task-specific models achieve convincing performance but require massive paired training images before and after translation. As advanced…
arXiv: image generation - 298NewImproving Diffusion-Based Augmentation for Data-Scarce Image Classification via Mask-Guided Reference Attention and Repulsive Noise Optimization
Diffusion-based data augmentation has emerged as a powerful strategy for addressing data-scarce image classification. Recent pipelines typically adapt a pretrained text-to-image diffusion model to a limited number of class examples and subsequently sample synthetic images using…
arXiv: image generation - 297NewInvokeAI 6.14.4InvokeAI
- 293NewStructured Visual Landscape: Generating Preferred Representations in Biological and Artificial Neural Networks
Understanding how neurons respond to visual stimulus is an important question in both deep learning and neuroscience. It has significant implications for enhancing the interpretability of black-box artificial neural networks and for understanding the visual representation in the…
arXiv: image generation
- 292NewThe Most Insane AI Film You'll See Today (Seedance 2.5)
PLANET HELL is an AI Sci-FI Short Film expanding on the original AI Film trailer made in Veo-3.1 This is an ongoing series about a prison planet where every inmate gets one bullet. This latest film was made with Seedance 2.5, GPT Image 2 and 2.5, Nano Banana and Midjourney, and…
Theoretically Media - 291NewVerifLM: Physically Verified Image-Edit-Guided Goal Pose Generation for Robotic Manipulation
Many manipulation goals are easier to visualize than to specify numerically through explicit geometric constraints. We present VerifLM, a framework that converts image-edited goal configurations into physically verified 6-DoF object poses for planning. Using an edited image…
arXiv: image generation - 286NewFlat Features, Detailed Images? Simple Detail Control for Diffusion Transformers
Prompt engineering is commonly used to encourage text-to-image models to generate more detailed images. However, it does not provide reliable, continuous, or disentangled control. We analyze feature tokens produced with and without detail-enhancing prompts across six diffusion…
arXiv: image generation - 285NewInvokeAI 7.0.0 (alpha 4)InvokeAI
- 284NewInvokeAI 6.14.3InvokeAI
- 275NewRestoring Semantic Fidelity for Training-Free High-Resolution Image Generation in Diffusion Transformers
Diffusion Transformer (DiT)-based text-to-image models have recently achieved remarkable success in image synthesis. However, when directly applied beyond their training resolution, these models often suffer from severe semantic degradation, where meaningful semantic content…
arXiv: image generation - 274NewMedNet and U$^2$-ViT: A Nested Vision Transformer Diffusion Framework for Diverse Medical Images Generation
The scarcity of diverse, high-quality medical images remains a significant bottleneck in advancing AI-driven medical diagnostics and treatment planning. Traditional datasets often suffer from class imbalances, limited disease coverage, and insufficient variations in imaging…
arXiv: image generation - 263NewTraining-free Conditional Object Composition for Multi-object Image Generation with Diffusion Models
Multi-object image generation in text-to-image diffusion models remains challenging, as existing approaches struggle to reliably generate all objects specified in a prompt. Compositional approaches that generate objects independently often fail to capture the interactions among…
arXiv: image generation - 261NewFREE + LOCAL: Image to 3D for LOW Vram
This will turn a single image of an object into a full 3D Gaussian Splat in seconds. ComfyUI-Idol adds native support for Speridlabs’ open Idol model. This model is optimized for LOW Vram I will also show a way to convert it with MeshLab (free) and Blender (free) into a OBJ ####…
Olivio Sarikas - 258NewAI Video Just Stepped Into the Real World!
Your AI characters can now stand in your actual room, and react to what's in it! Simulon is back: turn a character image into a 3D "neural asset," place it in the real world through your phone's camera, act out the scene with your own camera move, and the app regenerates the…
Theoretically Media
- 255NewRiverflow V2.6 Pro is now listed on OpenRouter
Text to image and image editing · 1K, 2K, 4K · up to 10 reference images · from $0.13 per image
OpenRouter image model - 251NewMOSS Image in ComfyUI | Text to Image, Words & Layout (Ep40)
In this episode, we test MOSS Image, a free text to image model from OpenMOSS, in ComfyUI with 9 free workflows. It follows long, detailed prompts well, and it is very good at words in images. We start with text to image: photos and illustrations from a prompt, a prompt helper…
pixaroma - 249NewComfyUI v0.43.0ComfyUI
- 247NewMOSS Image - With Control, References & Editing in ComfyUI!
MOSS-Image is now support in ComfyUI for you to run an home, on your own computer! The Apache 2.0 license means is it proper FOSS - unlike some releases we've seen recently which limit your freedoms. With a small model size and a turbo LoRA, you'll be generating images in…
Nerdy Rodent - 243NewDiffusers 0.42.0: FLUX.3, Fibo 2.0, Kandinsky 6, and moreDiffusers