NodeShift Blog

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April 3, 2025

Convert Your Images to Ghibli Style in a Fully Private and Local Environment

The magical charm of Studio Ghibli’s art style has captivated fans for decades, making it a dream for many to transform their own photos into this hand-painted aesthetic. While some AI-powered tools offer Ghibli-style conversions, they often come with restrictions, either locked behind paywalls or requiring processing that compromises privacy. Many people are also raising concerns about privacy and data theft associated with sending personal and sensitive pictures to some AI company’s server. But what if you could convert your pictures to stunning Ghibli-style images entirely on your own device, with full control over the process? Thanks to EasyControl, an exciting open-source model, you can now achieve exactly that, privately, locally, and for free without any limits! In this guide, we’ll walk you through a comprehensive step-by-step process to set up and run this powerful AI model on your own system. By the end, you’ll be able to generate breathtaking Ghibli-inspired portraits without relying on external services, all while keeping your data private and your creativity limitless.

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April 2, 2025

Crust x NodeShift

NodeShift is a decentralized, no-code AI cloud platform that enables one-click deployment of AI agents and LLMs, has integrated Crust’s decentralized storage offering into its platform, making it easy for organizations to leverage cost-effective, high-performance object storage for cold and archive data. Crust is a decentralized storage network providing reliable, secure, and scalable data solutions, particularly suited for cold and archive storage. With a robust infrastructure, Crust specializes in long-term data retention at competitive rates, making it a trusted choice for enterprises requiring large-scale data archiving. In early 2025, NodeShift and Crust formed a strategic partnership that aimed to integrate Crust’s decentralized storage solution into NodeShift’s suite of data and compute offerings. Through this partnership, NodeShift customers can easily tap into Crust’s low-cost, redundant cold and archive storage while still benefitting from NodeShift’s expansive network of computing and GPU resources around the globe.

April 1, 2025

Create Ghibli-Style Images With Flux-ChatGPT Ghibli LoRA: A Step-by-Step Guide

The creativity of Studio Ghibli’s nostalgic art style is attracting audiences worldwide, inspiring many to recreate its magic in their own images. While premium AI models like ChatGPT are capable of producing Ghibli-style images, access to this feature is currently only available to premium members. However, as always, the open-source community has already launched its own compelling alternative – the “Flux-ChatGPT Ghibli LoRA” model, which has been trained on the FLUX.1-dev base model from Black Forest Labs. This powerful open-source image generation model empowers you to produce stunning Ghibli-inspired visuals free of cost.

March 29, 2025

How to Install Qwen2.5-Omni 7B Locally

Nowadays, the ability to seamlessly integrate and process multiple data modalities, text, images, audio, and video, is no longer a surprise but has become a necessity. However, Alibaba has once again gone one step further with its latest open-source multimodal model, Qwen-2.5 Omni 7B. This model is designed to perceive diverse inputs and generate both text and natural speech responses in real-time. This means, unlike before, AI can now generate the same or different responses with multiple modalities simultaneously. Its innovative Thinker-Talker architecture enables synchronized understanding and generation across various data types, making it an invaluable open-source model for applications ranging from real-time voice and video interactions to advanced content analysis and creative content generation.

March 28, 2025

How to Install Command A 111B Locally?

C4AI Command A (March 2025) is a large-scale text generation model built to handle high-performance tasks across multiple languages and domains. Developed by Cohere and Cohere For AI, it contains 111 billion parameters and supports a massive 256K context length, making it ideal for long-form reasoning, dialogue, and retrieval-based tasks. Trained on 23 languages, it provides reliable performance in both conversational and non-conversational settings, and is optimized for secure, fast, and scalable deployment—even on just two GPUs. The model is instruction-tuned with enhanced capabilities for summarization, translation, coding, information extraction, and tool-assisted workflows.

March 27, 2025

A Step-by-Step Guide to Install DeepSeek-V3-0324 Locally

DeepSeek has once again raised the bar in artificial intelligence with the release of DeepSeek-V3-0324, an open-source language model that significantly outperforms its predecessors. The model effortlessly surpasses its top-notch competitors like GPT-4.5 and Claude 3.7 Sonnet. Beyond raw performance metrics, DeepSeek-V3-0324 offers enhanced code executability for front-end web development, helping developers to produce more aesthetically pleasing web pages and game interfaces. Additionally, it demonstrates improved proficiency in Chinese writing, aligning with the R1 style and delivering higher quality in medium-to-long-form content.

March 26, 2025

How to Install ALLaM 7B Locally?

ALLaM-7B-Instruct-preview is a bilingual text generation model built to support both Arabic and English. Developed by the National Center for Artificial Intelligence at SDAIA, it has been trained from scratch using a combination of 4 trillion English tokens and 1.2 trillion mixed Arabic-English tokens. This balanced training approach preserves strong English performance while introducing deep understanding of Arabic. The model is designed for instruction-following tasks and is optimized for cultural alignment, question answering, summarization, and general-purpose conversations in both supported languages.

March 25, 2025

How to Install Sesame CSM 1B: The Next-Gen Conversational AI with Real-Time Context Awareness

Creating AI companions that feel genuinely interactive requires more than just clear, high-quality speech. It demands real-time adaptability and deep contextual awareness. Traditional text-to-speech (TTS) models generate spoken output directly from text but lack the ability to adjust based on conversational nuances like tone, rhythm, and history. This leads to the well-known one-to-many problem: a sentence can be spoken in countless ways, but only a few match the intended context. Most speech models fail to capture this depth, making AI conversations sound robotic or disconnected. Sesame CSM 1B changes the game by introducing a Conversational Speech Model that treats speech generation as an end-to-end multimodal learning task. Unlike conventional two-stage methods that separate semantic and acoustic processing, Sesame CSM 1B integrates both seamlessly, ensuring expressive, natural speech while maintaining real-time efficiency. If your aim is to develope AI-powered assistants or virtual content creators, this model enhances conversational AI with unparalleled fluency and contextual precision. Installing Sesame CSM 1B is the first step toward unlocking the features of this model, let’s dive into the step-by-step installation process.

March 24, 2025

How to Install GemmaX2 9B Locally?

GemmaX2-28-9B-v0.1 is a high-performance translation model designed to handle multilingual tasks across 28 languages. Built on top of the Gemma2-9B architecture, it is continually pretrained on 56 billion tokens of monolingual and parallel data and later fine-tuned using high-quality translation instructions. The model delivers reliable and fluent translations for widely spoken languages including English, Chinese, Spanish, Hindi, Arabic, French, and more. With a strong foundation in language understanding and generation, GemmaX2-28-9B-v0.1 serves as a practical tool for multilingual content translation, cross-cultural communication, and global-scale applications.

March 22, 2025

Create Cinematic AI Videos with Ease using SkyReels-V1-Hunyuan

SkyReels V1 is revolutionizing the world of open-source text-to-video models with its cutting-edge capabilities in human-centric video generation. Built on the foundation of HunyuanVideo and fine-tuned on over 10 million high-quality film and television clips, SkyReels V1 stands out with its state-of-the-art performance, rivaling even proprietary models like Kling and Hailuo. What sets it apart is its ability to capture nuanced facial expressions—33 distinct types with over 400 movement combinations—ensuring lifelike emotional representation. Additionally, the model excels in cinematic aesthetics, replicating Hollywood-level lighting, composition, and character positioning. Whether you’re an AI enthusiast, a content creator, or a developer exploring text-to-video generation, SkyReels V1 opens up a world of creative possibilities. In this guide, we have simplified the process of installing and running SkyReels in a step-by-step approach, so anyone can start using it in no time.

March 21, 2025

The Next Era of Privacy-Focused Cloud Computation

In an era of continuous data flow and tight privacy regulations, the industry is rethinking how and where computation happens. Traditional cloud computing, dominated by centralized providers, faces challenges in cost, scalability, and trust, all at the same time. On the other hand, emerging technologies like Intel Software Guard Extensions (SGX), AMD Secure Encrypted Virtualization (SEV), and confidential hardware are pointing toward new ways to process data without compromising privacy. NodeShift enters this landscape as a decentralized cloud platform built to go with emerging technologies, enabling secure computation that is both distributed and privacy-preserving. Leveraging advancements in applied cryptography and distributed computing, NodeShift makes it easy for developers to deploy applications with strong privacy guarantees while significantly reducing costs. This article explores the landscape and needs for secure computation, the industry forces driving secure decentralized computation, and how NodeShift is helping shape the future of privacy-focused computation.

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