Alibaba Qwen Releases Qwen-Image-2.1-Turbo, an 8-Step 7B Image Model

תקציר מקורי באנגליתAlibaba’s Qwen team has released Qwen-Image-2.1-Turbo , an accelerated checkpoint of its open-weight Qwen-Image-2.1 model. It generates and edits images in 8 denoising steps instead of the base model’s 40-step default . For developers, that means 5x fewer denoising steps on the same 7B architecture, plus a hosted API option. TL;DR Size: 7B parameters in the visual generator, paired with a Qwen3-VL 8B text encoder . Runs on: CUDA GPUs in BF16 via Diffusers. Qwen publishes no Turbo VRAM minimum. Unsloth estimates the base model runs on 11 GB VRAM with GGUF and 24 GB with INT8/FP8 . Performance: Same 2K output and editing feature set as Qwen-Image-2.1, at 8 steps instead of 40. Best: Base Qwen-Image-2.1 scores 60.28 on Qwen-Image-Bench, the top open-weight score Qwen reports. Bott