
Qwen-Image-Edit is a model for image editing, which is based on Qwen-Image.
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FLUX.2 [dev] is a 32 billion parameter rectified flow transformer capable of generating, editing and combining images based on text instructions.
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Repository: localaiLicense: apache-2.0
The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, delivering state-of-the-art quality with end-to-end inference in as low as under a second. Built for applications that require real-time image generation without sacrificing quality, and runs on consumer hardware, with as little as 13GB VRAM. FLUX.2 [klein] 4B is a 4 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities.
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Repository: localaiLicense: apache-2.0
The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, delivering state-of-the-art quality with end-to-end inference in as low as under a second. Built for applications that require real-time image generation without sacrificing quality, and runs on consumer hardware, with as little as 13GB VRAM. FLUX.2 [klein] 9B is a 9 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities.
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Repository: localaiLicense: qwen-research

Qwen-Image 2.1 is the Qwen image generation foundation model, with strong prompt adherence and accurate text rendering (English and Chinese). It uses Qwen3-VL-8B as the text encoder and its own VAE, and supports both text-to-image and image editing: pass reference images to edit them. This is the Q4_K (4-bit) quantization (~4.2GB diffusion model) by leejet for stable-diffusion.cpp. The bundle also pulls the Qwen3-VL-8B-Instruct text encoder with its vision projector (used for image editing) and the Qwen-Image 2.1 VAE. Use image dimensions divisible by 32.
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Repository: localaiLicense: qwen-research

Qwen-Image 2.1 is the Qwen image generation foundation model, with strong prompt adherence and accurate text rendering (English and Chinese). It uses Qwen3-VL-8B as the text encoder and its own VAE, and supports both text-to-image and image editing: pass reference images to edit them. This is the Q8_0 (8-bit) quantization (~7.7GB diffusion model) by leejet for stable-diffusion.cpp. The bundle also pulls the Qwen3-VL-8B-Instruct text encoder with its vision projector (used for image editing) and the Qwen-Image 2.1 VAE. Use image dimensions divisible by 32.
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