QuantFunc
🤗 Hugging Face | 🤖 ModelScope | 💬 WeChat (微信) | 🎮 Discord
Introduction
We are excited to share our latest model series based on nunchaku + qwen-image-2512 quantization. These models are carefully optimized to maintain high-quality output while significantly improving inference speed and efficiency. All models are 100% compatible with the nunchaku-comfyui && lora plugin and can be used directly in ComfyUI.
Gallery
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Model Checkpoints
| Name | low_rank | Notes |
|---|---|---|
| nunchaku_qwen_image_2512_best_quality_fp4 | 256 | Best quality model, suitable for scenarios with extremely high quality requirements |
| nunchaku_qwen_image_2512_best_quality_int4 | 256 | Best quality model, suitable for scenarios with extremely high quality requirements |
| nunchaku_qwen_image_2512_ultimate_speed_int4 | 32 | Ultimate speed model, prioritizing inference speed |
| nunchaku_qwen_image_2512_ultimate_speed_fp4 | 32 | Ultimate speed model, prioritizing inference speed |
| nunchaku_qwen_image_2512_balance_int4 | 128 | Balanced model, achieving the best balance between quality and speed |
| nunchaku_qwen_image_2512_balance_fp4 | 128 | Balanced model, achieving the best balance between quality and speed |
4 steps workflow
Here’s a workflow example of integrating 4-step LoRA in ComfyUI. If you don’t need 4-step LoRA, simply remove the LoRA node.

Coming Soon
If you encounter any issues during use, feel free to join our community for feedback:
- Join our Discord server
- Scan the QR code below to join our WeChat group
We will add support for build in lora and qwen-image-edit-2511 in approximately one month.
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Model tree for QuantFunc/Nunchaku-Qwen-Image-2512
Base model
Qwen/Qwen-Image-2512




