Model Releases
Qwen 2511 fp8 mixed taking 30–40s per image edit — which GGUF should I use?
This r/StableDiffusion thread addresses performance issues with the Qwen-Image-Edit-2511 FP8 mixed model in ComfyUI, where users experience slow image edit times of 30–40 seconds per step (or overall)
This r/StableDiffusion thread addresses performance issues with the Qwen-Image-Edit-2511 FP8 mixed model in ComfyUI, where users experience slow image edit times of 30–40 seconds per step (or overall), and seek GGUF quantization alternatives. The Qwen-Image-Edit-2511 model is approximately 40GB in size, making it slow to run without hardware-appropriate quantization. For users with limited VRAM, GGUF variants are recommended, loaded via the ComfyUI-GGUF custom node by city96. Unsloth provides GGUF-quantized versions of Qwen-Image-Edit-2511 using their Dynamic 2.0 methodology, which upcasts important layers to higher precision for improved accuracy.
Related
- how much of vram i need for joy-image-edit
- JoyAI-Image-Edit now has ComfyUI support
- struggling choosing one edit model from klein 9b or qwen 2511.
- Advanced inpaint/edit Klein/Qwen workflows
- Can you use Qwen3.5 4b & Gemma 4 E4B with Z image/Turbo?
Source: r/StableDiffusion | 2026-04-12