My TG Channel - https://t.me/StefanFalkokAI

My TG Chat - https://t.me/+y4R5JybDZcFjMjFi

Thanks SD_Prompt_by_Art for help with testing workflow - https://t.me/prompt_by_art

Hi! I introduce my working workflow with Qwen Image Layered I2L

I have included workflow with Qwen Image models

You need to have Qwen Image Model (https://huggingface.co/Comfy-Org/Qwen-Image-Layered_ComfyUI/tree/main/split_files/diffusion_models), clip (https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/text_encoders) and vae (https://huggingface.co/Comfy-Org/Qwen-Image-Layered_ComfyUI/tree/main/split_files/vae)

i recomend use 4 or 8 steps lora qwen image to get faster result 

GGUF Qwen Image Layered - https://huggingface.co/QuantStack/Qwen-Image-Layered-GGUF/tree/main

I want to warn you model is slow and on the 5080 each iteration takes 10-15 seconds. It's not because VRAM or RAM shortage. So i have included light loras in workflow

download my ComfyUI Build https://huggingface.co/datasets/StefanFalkok/ComfyUI_portable_torch_2.9.1_cu130_cp313_sageattention_triton, also u need download and install CUDA 13.0 (https://developer.nvidia.com/cuda-13-0-0-download-archive) and VS Code (https://visualstudio.microsoft.com/downloads/)

Leave comments if you have trouble or you found the problem with workflows