🆕 Image super-resolution model just dropped! Superior results even... with a single sampling step. 🔥InvSR: Arbitrary-steps Image Super-resolution via Diffusion Inversion.show more

NVidia just released PiD: super resolution in pixel space... directly from model latents 🔎 4X resolution for any generated image, FAST! 🏎️💨 FLUX.1, 2 and Z-Image (Qwen Image coming) of course, i built a demo: generate 4K images with Z-Imageshow more

🔥 KEEP - New sota for video face super-resolution

ByteDance Seed is back with SeedVR2, now on Hugging... Face! This one-step video restoration model leverages diffusion adversarial post-training for impressive results, even on high-resolution videos.show more

NVIDIA just released a very impressive text-to-video paper. Video... Latent Diffusion Models (Video LDMs) use a diffusion model in a compressed latent space to generate high-resolution videos. Here's a brief overview of how it works: 1. Pre-train image LDM on a dataset of images. 2. Turn the image LDM into a Video LDM by adding temporal layers to model video frames. 3. Fine-tune the Video LDM on encoded video sequences to create a video generator. 4. Temporally align diffusion model upsamplers to generate high-resolution videos. 5. Validate Video LDM on real driving videos of 512x1024 resolution, achieving state-of-the-art performance. 6. Apply the approach in creative content creation with text-to-video modeling. Paper: Project:show more

High-resolution image and video generation is hitting a wall... because attention in DiTs scales quadratically with token count. But does every pixel need to be in full resolution? Introducing Foveated Diffusion: a new approach for efficient diffusion-based generation that allocates compute where it matters most. 1/7🧵show more

😀 ToonCrafter: Generative Cartoon Interpolation 🔆 Can interpolate two... cartoon images by leveraging the pre-trained image-to-video diffusion priors. Model on 🤗👇show more

The Stable Video Diffusion model just dropped 🔥 The... new model supports: – Text-to-Video – Image-to-Video – 14 or 25 frames at 576 x 1024 – Multi-View Generation – Frame Interpolation – 3D Scene Understanding – Camera Control via LoRA Paper: Code: SVD model: SVD-XT model:show more

Selected as a best paper finalist at #CVPR2026: PixelDiT... from NVIDIA Research In most image generation models, a pretrained autoencoder compresses the image before any diffusion happens, causing quality loss that accumulates across the entire pipeline. PixelDiT, or Pixel Diffusion Transformers, removes this step entirely. It's a single-stage model that learns the diffusion process directly in pixel space, end-to-end.show more

Hi3DGen 🔥 High-fidelity 3D geometry generation from a single... image by leveraging normal maps as an intermediate representationshow more

Yesss Jasper introduces LBM: Latent Bridge Matching for Fast... Image-to-Image Translation💡 and drops an amazing ✨image relighting✨ demo that runs with a single(!) inference step 🔥show more

Seedream 5.0 lite LIVE on Higgsfield at Day-0! 💥... UNLIMITED FOR 7 DAYS on Pro, Ultimate & Creator plans. Seedream 5.0 Lite brings stunning multi-image blending, instant outfit swaps & batch image creation with perfect subject consistency across EVERY frame. Up to 14 reference images with up to 3K resolution on every single output. Powered by ByteDance's most advanced image model yet.show more

Chop the gradients ✂️! We found that truncating decoder... gradients in latent video diffusion to a fixed window allows us to finetune on videos with pixel-wise perceptual losses without running out of memory. Pixel losses have been essential for image generation and reconstruction, but until now, they haven't scaled to long-duration, high-resolution video diffusion due to recursive activation accumulation in causal decoders, leading to OOM during training 💥📉. Project: Video diffusion models can do a lot more 🚀 when you can backprop the decoder! Post-process neural rendered scenes, super-resolve videos, harmonize lighting in controlled synthetic driving scenes, and inpaint videos — all in a single step ⚡ with a quick finetune from a standard diffusion model.show more

Switti -- a new scale-wise transformer for text-to-image generation... 🦾 🔥 Improved generation of fine-grained details. Outperforms existing T2I AR models and competes with state-of-the-art T2I diffusion models while being up to 7x faster.show more

I love this image prompt: Super macro photography: a... mechanical [concept] made of circuit boards and LED lights, resting on mossy soil in the palm of your hand. Intricate, highly detailed object, captured in high resolution. What would you do with it? 🤔show more

GPT Image 2.0 is now available on Akool 🚀... This isn’t just an upgrade—it’s a major leap in AI image generation. With GPT Image 2.0, you get: • Sharper, high-resolution outputs with improved detail and realism • Much stronger text rendering (finally, text in images that actually looks right) • Better prompt understanding for more accurate and controllable results • Improved consistency across variations and multi-image generations • More precise editing & refinement for iterative creative workflows Whether you're creating marketing visuals, product images, or storytelling assets, GPT Image 2.0 delivers cleaner, more reliable, and production-ready results. Now live on Akool, try the latest in AI image generation today.show more

🤯 𝐒𝐥𝐢𝐜𝐞𝐝𝐢𝐭 : A revolutionary approach to zero-shot video... editing✏️🎥 using text-to-image diffusion models 🎞️Slicedit achieves great temporal consistency by leveraging spatio-temporal "slices"🔀show more

TAA VS FSR 4 VS DLSS 4.5 at a... super-low resolution so you can see how each one reconstructs the image better. In this scenario, I've used Assassins Creed: Shadows on two different machines using the same settings and set the following settings for upscaling. In-game resolution at 720p and changed the resolution scaling to 20% (144p) while keeping the sharpness at 30% Which one looks better?show more

A dream of our lab has been to image... the full central dogma from a single endogenous gene, all live and with single molecule resolution. After many years we are happy to unveil a beautiful cell line that makes it possible. Check out our preprint ( (1/n)show more