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The multilingual AI assistant powered by Europe's premier frontier models.

Professional-grade local AI image generation and creative suite with zero-latency hardware acceleration.
Amuse is a high-performance, local-first AI inference engine designed for the 2026 creative professional who demands high iteration speed without cloud-based subscription fatigue. Architecturally, Amuse is built to maximize local GPU utilization (DirectML and CUDA), allowing users to run complex Diffusion models, including SDXL and Flux, directly on their hardware. By eliminating the 'per-image' cost model typical of Midjourney or DALL-E, Amuse provides a sandboxed environment for infinite experimentation. Its technical core features an optimized model manager that syncs seamlessly with repositories like Civitai, enabling one-click installation of Checkpoints, LoRAs, and VAEs. As of 2026, Amuse has differentiated itself through its 'Real-time Canvas' and 'Xformers-optimized' inference pipeline, which significantly reduces VRAM overhead. The platform caters to both power users who require granular ControlNet orchestration and novices who benefit from its streamlined 'EZ Mode' UI. This positioning makes it a critical tool for enterprise-grade privacy, as all data processing remains on the local machine, ensuring intellectual property protection during the conceptualization phase.
Custom backend for AMD GPUs to provide CUDA-like performance on Windows systems.
The multilingual AI assistant powered by Europe's premier frontier models.
The industry-standard framework for building context-aware, reasoning applications with Large Language Models.
Real-time, few-step image synthesis for high-throughput generative AI pipelines.
Professional-grade Generative AI for Landscape Architecture and Site Design.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A proprietary interface for mixing and matching multiple LoRA weights with real-time preview.
Segment-based inpainting using SAM (Segment Anything Model) for precision masking.
Built-in utility to prune FP32 models to FP16 or BF16 to save disk space and VRAM.
Latency-optimized stream that generates images as you draw on a canvas.
Native implementation of memory-efficient attention layers.
Automatically embeds generation parameters (prompt, seed, model) into EXIF data.
Generating marketing assets without uploading sensitive company data to cloud servers.
Registry Updated:2/7/2026
Export final high-res assets directly to secure local drive.
Bridging the gap between rough sketches and final production art quickly.
Creating consistent character variations with identical poses.