Creator Scrappy-Doo just dropped a Pixar-style LoRA for Lightricks' open LTX-Video model on Hugging Face. Trained without copyrighted studio footage, the adapter gives generated clips smooth 3D surfaces, oversized expressive eyes, and cinematic CGI lighting with the trigger word 'P1x4r'. It makes turning raw AI video into polished animated scenes easy in Diffusers or Draw Things.
Researchers just open-sourced PhyMotion, a structured reward framework designed to eliminate unnatural movement in AI video. It recovers 3D human bodies from generated clips and runs them through the MuJoCo physics simulator to grade contact and joint plausibility, dramatically improving realism in complex motions like yoga and martial arts.
Researchers just introduced AsymFlow, a generative framework that ditches latent spaces and VAEs to synthesize images directly in pixel space. By restricting noise prediction to a low-rank subspace, it boosts speed by 40% and achieves 1.57 FID on ImageNet. Why it matters: it eliminates the artificial plastic sheen of latent diffusion to yield crisp, photorealistic textures.
Krea just launched Krea 2, its first proprietary foundation model built completely from scratch. Designed specifically for aesthetic diversity and stylistic control, it marks the company's shift from building wrappers on third-party tech to owning the underlying models. Early access is open now.
AI researchers just introduced L2P, a new diffusion model that removes the VAE and latent space to generate images directly in pixel space up to 4K. By skipping latent compression, it preserves fine textures and sharp text without typical quality degradation. The team has open-sourced the training code and a 20GB model checkpoint for 1K resolution.
SenseNova just open-sourced SenseNova-U1.5-8B-MoT under the Apache 2.0 license. Skipping traditional latent spaces and VAE decoders, it crafts native 4K images end-to-end directly in pixel space and handles natural-language image edits. The catch: its 50GB weight footprint means you will need a beefy GPU to run it locally.
Vivago AI just released HiDream-O1 Image, an open-source visual model that bypasses traditional VAEs to generate pixels end-to-end. It pushes 2K resolution while nailing text rendering and complex infographic layouts where other open models stumble. The weights clock in at a hefty 32GB across base and dev versions, meaning you will need beefy GPU hardware to self-host it.
Pixal3D just released its pixel-aligned image-to-3D pipeline, generating 3D assets with remarkable geometric precision and texture fidelity. By explicitly projecting 2D pixels into 3D structure rather than relying on loose attention cues, it solves long-standing alignment issues. Why it matters: 3D creators now get assets that actually match the input image close to true reconstruction quality.
Relit-LiVE just introduced a pose-free video relighting framework that jointly generates relit footage and per-frame warped environment maps. It keeps shadows and reflections physically consistent across long clips without needing camera pose priors. Why it matters: it opens the door to cinematic relighting, material swaps, and delighting without tedious 3D tracking.
LTX Studio just launched Flows, a built-in node-based canvas designed for building custom visual generation pipelines and executing them in batches. Creators can construct their creative logic once and run it repeatedly at scale instead of rebuilding setups from scratch. Why it matters: It brings modular, automated workflow execution directly into mainstream AI video and image production.
Alibaba just introduced Continuous-Time Distribution Matching (CDM), a distillation technique that accelerates image diffusion models down to 4 sampling steps. Unlike predecessors like DMD2 that often produce waxy, over-smoothed results, CDM preserves fine details without complex auxiliary reward models. It brings near real-time, high-fidelity generation to standard GPUs.
Developer SeeSee21 just dropped Z-Anime, a 6B parameter diffusion model built by fully fine-tuning Alibaba's Z-Image Base architecture instead of stacking LoRAs. It features an FP8 build under 6GB and a distilled 4-step version that churns out images in seconds on an 8GB GPU. Unlike typical anime models, it demands natural language prompts instead of comma-separated tags.
Researchers just introduced PhysForge, a two-stage framework that generates physics-grounded 3D assets ready for real-time simulation. A vision-language model plans functional blueprints covering joints and materials, while a diffusion model turns them into interactive models. It tackles a key bottleneck for embodied AI by delivering objects robots can actually grab and manipulate without manual rigging.
Unity just launched Unity AI into open beta for all creators using Unity 6 and above. Built natively into the editor, the assistant understands project hierarchy and workflows, turning design mockups into playable assets and scenes. It also introduces an AI Gateway and MCP server support, letting developers plug in their favorite external models straight from their IDE.
LayrKits just open-sourced Sprite-Pipeline, a workflow kit that turns rough AI character videos into clean 2D sprite sheets. It uses FFmpeg to extract frames, strips out flat backgrounds, and packs them into transparent 256x256 horizontal strips ready for Unity or Godot. It also includes a local browser viewer and prompt guides to speed up indie game prototyping.
Microsoft just introduced Map2World, an AI framework that creates complete, explorable 3D worlds from simple top-down segment maps. Users color-code zones and assign text prompts to generate coherent environments—like blending modern skyscrapers with ancient ruins—while retaining consistent object scale across expansive scenes.
Researchers just introduced UniVid-X, a multimodal video framework that can decode and generate intrinsic properties like surface normals, lighting, albedo, and alpha transparency layers. Instead of treating video generation as flat RGB frames, it allows creators to relight scenes with custom lighting or swap characters and backgrounds with fine-grained precision.
Researchers just released Mocap Anything v2, an open-source AI framework that turns regular monocular video into clean, animatable 3D skeletons for almost any creature. Unlike older two-stage tools prone to unnatural joint twists, it jointly optimizes positions and rotations in an end-to-end model, slashing rotation errors while running 20x faster.
Nvidia just previewed D-Rex, a new framework that decouples full-body avatar animation from lighting. Instead of complex 3D reflectance math, it animates a base avatar under simple white light and lets a video diffusion model handle HDR relighting, keeping facial expressions sharp in any virtual scene.
Researchers just introduced RecGen, a generative framework that reconstructs complete 3D scenes from sparse RGB-D images. Even when objects are heavily blocked or cluttered, it accurately predicts their hidden geometry, textures, and poses—outperforming SAM3D by 30.1% in shape quality. Why it matters: It offers robotics and spatial AI a dependable way to parse messy real-world clutter.
