A quantized model Qwen-Image-Edit-Rapid-AIO-NSFW has been released

Developers introduced Qwen-Image-Edit-Rapid-AIO-NSFW-v23-NVFP4-GGUF — a specialized model for image editing, adapted for working with content without thematic restrictions.

The model is based on the Qwen architecture and has undergone quantization procedures in NVFP4 and GGUF formats. This allows the tool to be launched on consumer equipment with limited video memory, while maintaining the functionality of editing visual data.

During primary testing, the model scored 36 points on the internal quality metric in 1 hour of processing requests. The tool is aimed at users who require a local solution for generating and modifying images without built-in safety filters.

The release expands the ecosystem of local models based on Qwen, offering an alternative to cloud services with strict moderation. The use of GGUF formats ensures compatibility with popular libraries for running LLM and multimodal models on local machines.