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qwen-image
We are thrilled to release Qwen-Image, an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing. Experiments show strong general capabilities in both image generation and editing, with exceptional performance in text rendering, especially for Chinese.

Repository: localaiLicense: apache-2.0

qwen-image-edit
Qwen-Image-Edit is a model for image editing, which is based on Qwen-Image.

Repository: localaiLicense: apache-2.0

qwen-image-edit-2509
Qwen-Image-Edit is a model for image editing, which is based on Qwen-Image.

Repository: localaiLicense: apache-2.0

qwen-image-2.1-q4_k-ggml
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.

Repository: localaiLicense: qwen-research

qwen-image-2.1-q8_0-ggml
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.

Repository: localaiLicense: qwen-research