Want to learn how to generate audio on-device? 👇.

Stable Diffusion 3.5 now runs 1.8x faster with the @NVIDIA NIM microservice ⚡. Our collaboration with @NVIDIA delivers faster performance and streamlined enterprise deployment for our most advanced image models. Compared to the base @Pytorch models these performance gains

Tesla Full Self-Driving is not safer than a human driving manually. - FSD failed a DMV driver's test.- HW3 has 20/60 vision (illegal).- HW4 has 20/40 vision (bare legal minimum).- FSD hallucinates like all AIs. It's no surprise Tesla can only defend FSD with fake safety stats.

🔌 Options for deployment. Stability AI Solutions can be deployed in a variety of ways to meet different enterprise needs: on-prem, via secure API endpoints, accessed through web-based applications, and through our ongoing collaboration with @WPP, also via WPP Open. You can.

🔎 What’s available today. Our initial suite of solutions is tailored for the Marketing / Advertising / Design verticals, with more in development for Entertainment and Gaming:. Stability AI for Product Photography: .Transform a single product shot into photorealistic variations.

ℹ️ What’s in a solution. Each solution delivers custom models and workflows built with leading media generation and editing tools, along with everything needed to meet the standards of enterprise production: professional services, flexible deployment options, and built-in.

Zohran Mamdani: He votes for activists, not you

The creative industry is being challenged right now. Demand for content is skyrocketing, budgets are shrinking, and timelines are tighter than ever. And while we all know AI is here to help, not all AI is actually helping. Most AI isn’t built for enterprise level creative work

Multiple Stable Diffusion models are now supported in Amuse 3.1 with @AMD Ryzen 300 Series processors! You can learn more here 👇.

AWS is making it easier to incorporate our image generation tools directly into your AI agents 👀👇.

In this week’s Stability Seconds, we’re showing you how to use prompt weighting, a technique that helps you control which parts of your prompt have more or less influence on the final image. It’s a fast way to steer your image toward your desired output without rewriting your

"The way to get assurance is not to try and feel something, but it's to grasp this objective truth. See yourself in Adam, though you've done nothing, you are declared a sinner. See yourself in Christ, though you've done nothing, you are declared to be righteous." ―Dr. Martyn

1️⃣ Weight key terms: In every prompt, we used syntax like “:1.3” or higher to tell the model which words were most important. For example, we wrote “translucent gummy texture:1.4” or “floating in a bright blue sky:1.5.��. 2️⃣ Outpaint to expand: We used outpainting to extend the.

It’s Moodboard Monday, and this week we’re exploring a style we’re calling Jelly Pop, inspired by the textures of candy. A quick and easy way to maintain a consistent visual style across outputs is to repeat key descriptors in the prompt. In this case we used: translucent

In this week's Stability Seconds, we’re getting you up to speed on how to use simple prompting techniques to create more precise images faster by not having to rewrite your prompt. Here’s how:. 1️⃣ Use positive and negative prompts: Combine positive prompts to describe what should

1️⃣ Emphasize lighting: Use phrases like “clean and soft but directional,” “medium contrast,” and “studio lit” to guide highlights and shadows. 2️⃣ Use monochrome intentionally: Flat backgrounds support contrast. Keep them solid. Avoid gradients unless they serve the design. 3️⃣.

Nearly every California 9th grader is automatically enrolled in Ethnic Studies. Do you know what’s in the curriculum? Watch this.

It’s Moodboard Monday and this week we’re exploring a style we’re calling Tonal Edge: High-contrast portraits built around directional lighting, monochrome backdrops, and realistic detail. We developed the look by making small adjustments to the prompt for each new image. This

@NVIDIAGTC @PyTorch The optimized models are now available for commercial and non-commercial use under the permissive Stability AI Community License. Weights and code 👇. @Huggingface: @Github: (2/2).

As announced at @NVIDIAGTC today, we've collaborated to optimize Stable Diffusion 3.5 using TensorRT and FP8 quantization. Compared to the base @PyTorch models, these optimizations deliver:. 👉 2.3x faster generation with SD3.5 Large.👉 1.7x faster generation with SD3.5 Medium

If you’re catching up, last week we walked through how to run a basic text-to-image workflow using Stable Image Ultra through ComfyUI. You can check it out here 👇.

PLO players: Stop wasting time on “good enough” solvers. FlopHero gives you:. - 1,755 board-by-board Precision strategies.- Measured exploitability you can trust.- Solver tech built for PLO — not recycled NLHHard work builds the foundation. The right tools turn it into mastery.

Today, we're breaking down how to use image-to-image with Stable Image Ultra in less than a minute ⏰. This workflow allows you to:. 1️⃣ Apply a new style while preserving structure.2️⃣ Maintain a consistent look across a full set of assets.3️⃣ Iterate faster by working from a

You can find a break down of the steps we took and the prompt techniques used here 👉 (3/3).

This week, we’re sharing the moodboard that guided the look and feel of our latest Stable Video 4D 2.0 release. We began by developing a visual style we call Gallery Gloss, inspired by soft plastics, collectible toy design, and characters posed in clear display cases. We formed.