graphis Integrations

Qwen is a powerful, free AI assistant built on the advanced Qwen model series, designed to help anyone with creativity, research, problem-solving, and everyday tasks. While Qwen Chat is the main interface for most users, Qwen itself powers a broad range of intelligent capabilities including image generation, deep research, website creation, advanced reasoning, and context-aware search. Its multimodal intelligence enables Qwen to understand and process text, images, audio, and video simultaneously for richer insights. Qwen is available on web, desktop, and mobile, ensuring seamless access across all devices. For developers, the Qwen API provides OpenAI-compatible endpoints, making integration simple and allowing Qwen’s intelligence to power apps, services, and automation. Whether you're chatting through Qwen Chat or building with the Qwen API, Qwen delivers fast, flexible, and highly capable AI support.

Nano Banana Pro is Google DeepMind’s advanced evolution of the original Nano Banana, designed to deliver studio-quality image generation with far greater accuracy, text rendering, and world knowledge. Built on Gemini 3 Pro, it brings improved reasoning capabilities that help users transform ideas into detailed visuals, diagrams, prototypes, and educational content. It produces highly legible multilingual text inside images, making it ideal for posters, logos, storyboards, and international designs. The model can also ground images in real-time information, pulling from Google Search to create infographics for recipes, weather data, or factual explanations. With powerful consistency controls, Nano Banana Pro can blend up to 14 images and maintain recognizable details across multiple people or elements. Its enhanced creative editing tools let users refine lighting, adjust focus, manipulate camera angles, and produce final outputs in up to 4K resolution.

Seed Diffusion Preview is a large-scale, code-focused language model that uses discrete-state diffusion to generate code non-sequentially, achieving dramatically faster inference without sacrificing quality by decoupling generation from the token-by-token bottleneck of autoregressive models. It combines a two-stage curriculum, mask-based corruption followed by edit-based augmentation, to robustly train a standard dense Transformer, striking a balance between speed and accuracy and avoiding shortcuts like carry-over unmasking to preserve principled density estimation. The model delivers an inference speed of 2,146 tokens/sec on H20 GPUs, outperforming contemporary diffusion baselines while matching or exceeding their accuracy on standard code benchmarks, including editing tasks, thereby establishing a new speed-quality Pareto frontier and demonstrating discrete diffusion’s practical viability for real-world code generation.

Wan2.2 is a major upgrade to the Wan suite of open video foundation models, introducing a Mixture‑of‑Experts (MoE) architecture that splits the diffusion denoising process across high‑noise and low‑noise expert paths to dramatically increase model capacity without raising inference cost. It harnesses meticulously labeled aesthetic data, covering lighting, composition, contrast, and color tone, to enable precise, controllable cinematic‑style video generation. Trained on over 65 % more images and 83 % more videos than its predecessor, Wan2.2 delivers top performance in motion, semantic, and aesthetic generalization. The release includes a compact, high‑compression TI2V‑5B model built on an advanced VAE with a 16×16×4 compression ratio, capable of text‑to‑video and image‑to‑video synthesis at 720p/24 fps on consumer GPUs such as the RTX 4090. Prebuilt checkpoints for T2V‑A14B, I2V‑A14B, and TI2V‑5B stack enable seamless integration.

Gemini Image Pro is a high-capability, multimodal image-generation and editing system that enables users to create, transform, and refine visuals through natural-language prompts or by combining multiple input images, with support for consistent character and object appearance across edits, precise local transformations (such as background blur, object removal, style transfers or pose changes), and native world-knowledge understanding to ensure context-aware outcomes. It supports multi-image fusion, merging several photo inputs into a cohesive new image, and emphasizes design workflow features such as template-based outputs, brand-asset consistency, and repeated character/person-style appearances across scenes. It includes digital watermarking to tag AI-generated imagery and is available through the Gemini API, Google AI Studio, and Vertex AI platforms.

Scalable, real-time detection of deepfakes wherever and whenever they strike, for today and for the future. Deepfakes are a threat, unlike anything the world has seen before. They undermine our fundamental trust in society and each other, and they constantly change to evade detection. They are cheap, universal, and are in everybody's hands. They appear in all digital media, video, audio, and images and they can impersonate anyone. Detecting deepfakes requires sophisticated and ongoing research in Al and cyber. The best minds are collaborating with our experts to build the best technology globally. Clarity is an AI cybersecurity startup that protects against deepfakes and new social engineering and phishing attack vectors accelerated by the rapid adoption of generative AI. Its patent-pending technology detects AI manipulations in videos, images, and audio and authenticates media with encrypted watermarking.

Flux is a highly configurable and scalable cloud energy and utility billing platform designed with data at its core. It enables energy businesses to manage data complexity effortlessly, rapidly deliver new energy products, and make quick tariff changes. Flux supports all meter categories and data types across all market segments, combining them with complex tariffs to generate accurate bills. It accommodates various billing scenarios, including demand charges, load-based pricing, spot pass-through, time-of-use, custom sub-tariffs, and non-metered products, all without the need for developer time. Flux's event-driven architecture automatically triggers the rating process as soon as new usage data for a connection is received, eliminating the need for big batch data and increasing efficiency. It also offers features like multi-party billing, broker commissions, power purchase agreements, flex contracts, virtual power plants, and electric vehicle billing.

Nano Banana is Gemini’s fast, accessible image-creation model designed for quick, playful, and casual creativity. It lets users blend photos, maintain character consistency, and make small local edits with ease. The tool is perfect for transforming selfies, reimagining pictures with fun themes, or combining two images into one. With its ability to handle stylistic changes, it can turn photos into figurine-style designs, retro portraits, or aesthetic makeovers using simple prompts. Nano Banana makes creative experimentation easy and enjoyable, requiring no advanced skills or complex controls. It’s the ideal starting point for users who want simple, fast, and imaginative image editing inside the Gemini app.

Gemini Nano Banana 2 Flash is a cost-efficient AI model now available within Google’s Gemini ecosystem. It delivers performance comparable to Nano Banana 2 Pro while operating at significantly lower costs. Internal naming previously referred to the Pro model as “Ketchup,” while the Flash variant was identified as “Mayo.” Sample outputs show strong parity between Flash and Pro in real-world tasks. This allows users to access high-quality AI capabilities without premium pricing. Gemini Nano Banana 2 Flash is optimized for large-scale and high-volume deployments. The model strengthens Gemini’s balance between performance, efficiency, and accessibility.