LongCat-Image-Edit-Turbo: SOTA Open Source Image Editing in 8 Steps (2026)
Meituan's LongCat-Image-Edit-Turbo sets a new open source standard for image editing, achieving state-of-the-art results in just eight inference steps. The model combines precision, speed, and multilingual support with minimal resource usage.
LongCat-Image-Edit-Turbo: SOTA Open Source Image Editing in 8 Steps (2026)
summarize3-Point Summary
- 1Meituan's LongCat-Image-Edit-Turbo sets a new open source standard for image editing, achieving state-of-the-art results in just eight inference steps. The model combines precision, speed, and multilingual support with minimal resource usage.
- 2LongCat-Image-Edit-Turbo: SOTA Open Source Image Editing in 8 Steps (2026) Meituan has released LongCat-Image-Edit-Turbo, a breakthrough open-source image editing model that delivers state-of-the-art results in just eight inference steps.
- 3Developed by Meituan’s LongCat AI team, this compact diffusion model outperforms larger models on ImgEdit-Bench and GEdit-Bench — all while running efficiently on just 18GB of VRAM with CPU offloading.
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LongCat-Image-Edit-Turbo: SOTA Open Source Image Editing in 8 Steps (2026)
Meituan has released LongCat-Image-Edit-Turbo, a breakthrough open-source image editing model that delivers state-of-the-art results in just eight inference steps. Developed by Meituan’s LongCat AI team, this compact diffusion model outperforms larger models on ImgEdit-Bench and GEdit-Bench — all while running efficiently on just 18GB of VRAM with CPU offloading. It’s the new benchmark for efficient, precise image manipulation.
How LongCat-Image-Edit-Turbo Works in 8 Steps
Unlike traditional diffusion models requiring 50+ steps, LongCat-Image-Edit-Turbo uses advanced distillation techniques to condense high-quality editing into just eight steps. This dramatically reduces latency and computational cost, making real-time editing feasible on consumer hardware. The model preserves identity, texture, and lighting in non-edited regions — critical for multi-turn workflows.
Powerful Image Manipulation Capabilities
LongCat-Image-Edit-Turbo supports a wide range of instruction-based edits:
- Global and local object replacement
- Pose and expression adjustments
- Style transfer (e.g., sketch to oil painting)
- Text addition or removal
- Outpainting and background expansion
- Material swaps (metal to wood, fabric to glass)
- Seasonal transformations (summer to winter)
Native Multilingual Prompt Understanding
Thanks to a novel character-level encoding technique, LongCat-Image-Edit-Turbo understands both English and Chinese prompts with exceptional accuracy. Quoted text acts as semantic anchors, enabling precise rendering of textual elements without hallucination. Benchmark scores: 4.50 on ImgEdit-Bench and 7.60/7.64 on GEdit-Bench (Chinese/English), surpassing FLUX.1 Kontext and Qwen-Image-Edit.
How to Use LongCat-Image-Edit-Turbo on Hugging Face
Meituan has open-sourced the full pipeline under Apache 2.0, including training code and inference scripts. The model integrates seamlessly with Hugging Face’s Diffusers and ComfyUI. Simply load it via:
from diffusers import LongCatImageEditTurboPipeline
pipeline = LongCatImageEditTurboPipeline.from_pretrained("meituan/LongCat-Image-Edit-Turbo")Visit the Hugging Face model card for demos and documentation.
Why This Matters: The Rise of Efficient AI
LongCat-Image-Edit-Turbo signals a major shift in generative AI — from scaling parameters to optimizing data and architecture. Meituan, known for e-commerce, is now a key force in open-source AI innovation. Its transparent release encourages community collaboration and accelerates adoption in consumer and enterprise tools.
Final Thoughts: The New Standard for Image Editing
With surgical precision, low resource demands, and multilingual support, LongCat-Image-Edit-Turbo sets a new baseline for open-source image manipulation. Whether you're a developer, designer, or researcher, this model proves that efficiency doesn’t mean compromise.
