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About

LMCache is an open source Knowledge Delivery Network (KDN) designed as a caching layer for large language model serving that accelerates inference by reusing KV (key-value) caches across repeated or overlapping computations. It enables fast prompt caching, allowing LLMs to “prefill” recurring text only once and then reuse those stored KV caches, even in non-prefix positions, across multiple serving instances. This approach reduces time to first token, saves GPU cycles, and increases throughput in scenarios such as multi-round question answering or retrieval augmented generation. LMCache supports KV cache offloading (moving cache from GPU to CPU or disk), cache sharing across instances, and disaggregated prefill, which separates the prefill and decoding phases for resource efficiency. It is compatible with inference engines like vLLM and TGI and supports compressed storage, blending techniques to merge caches, and multiple backend storage options.

About

Qwen-Image-2.1 is a unified text-to-image generation and image editing model in the Qwen family, designed to balance generation quality, inference efficiency, and versatility. Its visual generation component contains 7B parameters and uses 32 Single-Stream DiT layers, with a lightweight architecture that combines mixed-granularity attention and prefix KV cache reuse to deliver strong image quality at lower computational cost. The model natively supports both regular and transparent RGBA image generation, transparent-layer editing, and subject extraction from photographs within a single system. For image editing, it can use up to 10 reference images for multi-subject composition, accept local edit instructions through circles, painted annotations, or separate masks, and preserve the identity of people and products. Improvements to typography, portrait lighting, realistic textures, and fine details are designed to produce more refined and visually compelling results.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI engineers and infrastructure teams looking for a tool to lower latency, reduce compute cost, and scale throughput

Audience

Developers, researchers, and creative AI teams seeking to generate, edit, compose, and manipulate high-quality images with an open source multimodal generation model

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

LMCache
United States
lmcache.ai/

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen-Image-2.1

Alternatives

Alternatives

BaseRT

BaseRT

Base Compute
Qwen-Image

Qwen-Image

Alibaba
DeepSeek-V2

DeepSeek-V2

DeepSeek

Categories

Categories

AI Image Models Supported

Integrations

Happy Shrimp 1.0 Not Supported
Qwen Not Supported
Qwen Studio Not Supported
QwenCloud Not Supported

Integrations

Happy Shrimp 1.0 Supported
Qwen Supported
Qwen Studio Supported
QwenCloud Supported
Claim LMCache and update features and information
Claim LMCache and update features and information
Claim Qwen-Image-2.1 and update features and information
Claim Qwen-Image-2.1 and update features and information