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TensorSharp adds Qwen Image Edit 2511 support, benchmarks faster than stable-diffusion.cpp

TensorSharp, an open-source LLM inference engine, now supports image editing and generation using Qwen Image Edit 2511 models with LoRA. Benchmarks indicate that TensorSharp outperforms stable-diffusion.cpp in several key areas, including total warm time and per-step processing, though stable-diffusion.cpp is faster at text encoding. TensorSharp is designed to leverage GPU capabilities across CUDA, Metal, and Vulkan, offering an API compatible with OpenAI and Ollama interfaces. AI

IMPACT Enhances open-source tooling for image generation and editing, potentially improving performance for users of Qwen models.

RANK_REASON This is a new feature release for an open-source inference engine, not a frontier model release from a major lab.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

TensorSharp adds Qwen Image Edit 2511 support, benchmarks faster than stable-diffusion.cpp

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/fuzhongkai ·

    TensorSharp Supports Image Edit & Generation (Qwen Image Edit 2511 with LoRA) and Benchmark with Stable-Diffusion.cpp

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1us9xlb/tensorsharp_supports_image_edit_generation_qwen/"> <img alt="TensorSharp Supports Image Edit &amp; Generation (Qwen Image Edit 2511 with LoRA) and Benchmark with Stable-Diffusion.cpp" src="https:/…