RealRebelAI Shrinks Alibaba's Qwen-Image 2.1 to Fit Single-GPU ComfyUI Setups
Community-made mixed-precision GGUF quantizations shrink Alibaba's 7B Qwen-Image 2.1 diffusion model down to run comfortably in ComfyUI on consumer GPUs.
- RealRebelAI shipped mixed-precision GGUFs of Qwen-Image 2.1 for ComfyUI, from Q2_K to Q8_0.
- Custom HQv3 policy keeps attention and key MLP layers at higher precision to protect anatomy and fine detail.
- Q4_K_M-HQv3 is the recommended default, balancing VRAM use against structural quality versus INT8 reference.
- Base Qwen-Image 2.1 is a 7B DiT with native RGBA transparency and 2K output up to 2752 pixels.
- Requires ComfyUI-GGUF custom node plus standard Qwen-Image 2.1 text encoder and VAE.
- Underlying model uses Qwen Research License: non-commercial only, with commercial use needing a separate Alibaba grant.
Qwen-Image 2.1 gets mixed-precision GGUF builds for ComfyUI
RealRebelAI has released six community quantizations of Alibaba’s Qwen-Image 2.1, covering Q2_K through Q8_0 and targeting single-GPU ComfyUI setups. The GGUF release uses a custom mixed-precision policy designed to preserve image quality in layers that respond poorly to aggressive compression.
Quantization stores model weights with fewer bits, reducing checkpoint size and memory demand in exchange for some numerical precision. GGUF began as an LLM-oriented format, but the ComfyUI-GGUF extension also supports compatible diffusion models. Actual runtime memory still depends on resolution, text-encoder placement, VAE use, attention implementation, and ComfyUI’s offloading settings, so the files do not guarantee that every variant will fit every GPU.
A smaller image transformer
Qwen-Image 2.1 is an open-weight text-to-image and image-editing model from Alibaba. Its generator contains 32 single-stream diffusion transformer layers, which iteratively turn noise into an image while processing prompt and image information in one network. A Qwen3-VL 8B model supplies text encoding.
| Model | Image transformer | Published checkpoint size |
|---|---|---|
| Qwen-Image-2512 | 20B parameters | 40.9 GB in BF16 |
| Qwen-Image 2.1 | 7B parameters | 14.2 GB in BF16 or 7.26 GB in INT8 |
The model generates at native 2K resolutions, with dimensions reaching 2752 × 2752 pixels. It also supports RGBA output with a real alpha channel, allowing transparent assets to be generated without a separate background-removal stage. Multi-reference image editing remains available in the quantized builds, although fidelity can vary by quantization level.
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