A minimal ComfyUI workflow for Qwen-Image 2.1 on a low-end PC with 8GBvram. Ten nodes, no custom packs, no reference images, no ControlNet.WHAT YOU NEED (4 files)- models/diffusion_models/ -&gt; Qwen GGUF Q4- models/text_encoders/ -&gt; Qwen3-VL 8B int8- models/vae/ -&gt; Qwen Image VAE- models/loras/ -&gt; lightning 4-step LoRAThe GGUF loader is built into ComfyUI — no extra extension needed.THE FOUR NUMBERS THAT MATTERSteps 8 · CFG 2.0 · Lightning LoRA 0.5 · euler / simpleSizes: 1024x1408 · 1408x1024 · 1024x1024.Speed mode: 4 steps / CFG 1.0 / LoRA 1.0. Twice as fast, but the negative prompt stops working at CFG 1.PROMPT STYLE — plain language, not tag lists"a quiet greenhouse at dawn, morning light through fogged glass, rows of potted plants, a wooden bench, soft volumetric light, detailed, cinematic"What it is unusually good at: legible text inside the image (signs, labels, posters, English or Chinese), photographic depth (glass, haze, reflections), and spatial logic (behind, in front of, reflected in).TWO THINGS TO KNOW- CFG 1.0 silently kills the negative prompt. Not weakened — ignored.- Raise steps before raising CFG. 20 steps at CFG 3 drifts toward photorealism and takes four times as long.SPEED ON A LOW-END PC~50 s at 1024x1408 with 8 steps, ~20 s in 4-step mode. First run after a restart is slower.

Qwen Image — Simple Text2Image

Initial release. Ten-node workflow, no custom nodes. Verified at 8 steps / CFG 2.0 / lightning LoRA 0.5 / euler-simple on a low-end PC (~50 s per 1024x1408 image).

Files with SHA256: 576b26a61dbeef0249c7c5df6fa018dab50694f423f1a42111cf4982535751e7