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

🍌 Just released NanoBanana Pro LoRA Dataset Generator with... fal Finally an easy way to create training datasets for: • Flux 2 • Z-Image • Qwen Image Edit • Any image-to-image model ✨ Uses Nano Banana Pro API on fal 🌐 100% browser-based - no server needed ⚡ Parallel generation for speed 🔗 Try it live: 💻 Code: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

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

I've been experimenting with embeddings a lot recently. Here's... an interface I created that lets me interpolate between CLIP image embeddings and generate images from the intermediate latents Latent Surfing. it's kinda like a color picker, but for images. (1/n)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

I topped up $5 on an API aggregator ToAPIs... Then I found out GPT Image 2 costs only around $0.015 per image. If you do a lot of testing or batch-generate commercial AI images, that difference adds up fast. I think I just found the secret to generating more, testing more, and spending less. And it’s not just one model. With the same key, you can access 50+ models for image, video, and text, including GPT Image 2, Gemini Omni, Seedance 2.0, Kling AI 3.0, grok-video-1.5-preview, and more. Some models are priced up to 80% lower than official platforms. Just top up and test what you need: Made on ToAPIs with GPT Image 2 + Seedance 2.0show more

🧮Turn single image into a custom LoRA model in... one click ! Should work for character and product ! This ComfyUI workflow: → Uses Gemini AI to generate 20 diverse prompts from your image → Creates 20 consistent variations with FLUX.1 Kontext → Automatically builds the dataset + trains the LoRA One image in → Trained LoRA out 🎯 #ComfyUI #LoRA #AIArt #FLUX #AutomatedAI ComfyUI BlackForestLabsAI - Unofficial 🔗 Check it out: This workflow was made for the hackathon organized by ComfyUI in SF yesterdayshow more

P-Image-Upscale is the fastest and cheapest image upscaler in... the world: supporting outputs up to 128 MP under 1 seconds. A couple of weeks ago we released p-image-upscale, and it now works better than ever. It’s the fastest image upscaler in the world, supporting outputs up to 128 MP while keeping pricing simple and predictable: - $0.005/image for 1–4 MP - $0.01/image for 4–8 MP - $0.02/image for 8–16 MP - $0.04/image for 16–32 MP - $0.06/image for 32–64 MP - $0.12/image for 64–128 MP That means you can go from low-res input to production-ready output with extreme speed, while preserving detail and keeping costs easy to understand. Available on: - Pruna AI | - each::labs | - inference shell | - Replicate | - Runware | - Segmind | - WaveSpeedAI | - Wiro AI — Ship AI Faster | If you’re building workflows where image quality, price, latency, and scale all matter, p-image-upscale is built for you.show more

Seedance V2 This prompt can be used for any... fight. I used the last two images I created with Nano banana Pro, not even a character sheet, someone could even open a new account with this prompt. The possibilities are endless. setting: location: "Ancient 'World Martial Arts Tournament' arena [@ Image 2]" details: "Clear stone platform textures, intricate Chinese guardian beast carvings, detailed ancient architecture" audio_style: "Shaw Brothers classic kung fu cinema soundtrack" action_sequence: participants: "[@ Image 1] vs [@ Image 3], both unarmed/bare-handed" choreography: opening: "[@ Image 1] moves like lightning with sharp energy-infused strikes; [@ Image 3] parries using fluid Tai Chi grandmaster techniques to neutralize the onslaught." climax: "[@ Image 1] lunges for a tail-whip ambush; [@ Image 3] counters with a powerful qi-palmed strike. [@ Image 1] dodges with ghost-like agility." finisher: "[@ Image 1] fires a Kamehameha at the chest; [@ Image 3] tanks the hit with a qi-shield and counters with a full-force palm strike, knocking [@ Image 1] off the ring." cinematography: camera: "360-degree orbital wrap-around shots, capturing every martial arts exchange" lighting: "Dynamic lighting shifts synced with combat intensity to create a tense atmosphere" visual_style: "Cinematic photorealism, 8K resolution, film-like texture" technical_quality: standard: "Low AI signature, no excessive skin smoothing, natural fluid motion" negative_constraints: "No deformed limbs, no extra/missing fingers, no clipping, no blurring, no low resolution, no cluttered backgrounds, no color banding"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

So, I heard you like equirectangular 360° images generated... with GPT Image 2.0. Let's build a grid out of them and run it through best video model Seedance 2.0. Prompts in the replies. Feel free to take them and tweak as you like. GPT Image 2.0 × Seedance 2.0 on Higgsfieldshow more

Create a 3D model from a single image, set... of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”show more

This demo was generated from a single image of... a lipstick. I gave Wizstar AI a single lipstick photo, and it built the whole ugc ad: script, scene, model, product usage, and final video. no shoot required. here’s exactly how it works ↓show more

Last week we released our Gemini 3.1 Pro Deep... Think model. Here are a succession of examples of that model doing heat transfer analysis. No tools, just Deep Think and Image Generation. Step 1: generate a CAD file from a technical drawing.show more

Are we done with object detection? What about tiny... objects beyond 200 meters? 🔎 Telescope 🔭 addresses long-range perception by explicitly tackling extreme scale imbalance ⚖️ in images. It hinges on a learnable hyperbolic foveation transform from a low-resolution image, magnifying distant regions 🔍 while compressing nearby ones - effectively normalizing object scales with minimal computational overhead. Objects are detected in the transformed (Riemannian) space using a novel bounding box parameterization and are then mapped back to the original image. Project:show more

From product image to video with just one tool... - Dzine As you may have noticed, this is one of my favorite tools. It is also very underrated, as probably 50% of my tutorials include some workflow. I was testing the new image-to-video option today, and I love it. Step - by step guide in comments 🔽 I can do 95% of a workflow without switching between apps. Image generation, Image to image with style reference, background removal, background generation, and 2 frames image to video. The only other app I have been using for this video is CapCut so that I can stitch it together. Step by step 🔽show more

Create a short film like this in just 1... minute with GPT Image 2.0 + Seedance 2.0. GPT Image 2.0 can naturally combine multiple photos into one single image, while Seedance 2.0 can use that image as a reference to automatically separate the scenes, generate a coherent video sequence, and add suitable background music. This workflow greatly improves the overall creative efficiency. When using this method, simply provide the merged image as a reference for Seedance 2.0 and briefly describe each scene with a simple prompt. This can significantly increase the success rate of the final video. All of the above was created on GPT Image Prompt: Seedance Prompt:show more

okay! my whole pipeline for getting fable and sol... to be able to 3d model good topology hard surface game models without using any additional paid services is WORKING... we just need to dial in their lowpoly geometry and baking techniques some more, the pipeline is images > trellis > model creates the lowpoly themselves with direct headless blender interaction > bake ... this will work with both of them because you can replace sol's gptimage2 imagegen in fable's version with z-image-turbo or another quality local image modelshow more

🚀 Introducing GenLit – Reformulating Single-Image Relighting as Video... Generation! We leverage video diffusion models to perform realistic near-field relighting from just a single image—No explicit 3D reconstruction or ray tracing required! No intermediate graphics buffers, directly in the pixel space! 📄 Dive into the paper: 🎥 Project page & demos: 🛠 Code coming soon! #GenerativeAI #ComputerVision #Relighting #DiffusionModels #Graphics 🧵 1/5show more