Magic WAN Image v2 is a mixed and fine-tuned version of the Wan 2.2-T2V-14B text-to-video model, adapted to make image generation easier for Wan 2.2 users, similar to how the Flux model is used. The Wan 2.2 model is strong at producing realistic images and supports a wide range of artistic styles. ( Original Model Link - <a target="_blank" rel="ugc" href="https://civarchive.com/models/1927692?modelVersionId=2399857">https://civarchive.com/models/1927692?modelVersionId=2399857</a> ) Because it was originally designed for video generation, its raw image generation is slightly less powerful, but this version improves that balance. This model is designed to combine realism and style while adding more detail, aiming for creativity and expressiveness comparable to the Flux.1-Dev model. It was created by blending the high-noise and low-noise components of the Wan2.2-T2V-14B model at different weight levels, followed by light fine-tuning. The result is highly realistic skin textures and ultra-high-resolution output, making it well suited for portraits and real-world scenes. It produces rich detail and supports direct upscaling to 8-megapixel images using TTP technology. This is a model that can use any existing WAN 2.1 or WAN 2.2 LORAs (SFW &amp; NSFW), Encoders (clip file) and VAE. I have previously developed Workflows that can do Text-to-Image, Image-to-Image, Image Inpainting and Image Outpainting by tricking WAN video models to generate image outputs, this model has been dedicatedly trained to acheive those tasks with more precision (this can handle both WAN 2.2 High &amp; Low LORAs as well as regular WAN 2.1 LORAs very well). This is a very simple ComfyUI beginner friendly Text-to-Image workflow that will work with a single Magic WAN Image v2 GGUF model with multiple LORAs (This workflow does require ComfyUI's LORA Manager plugin to function. It is a good idea to install both ComfyUI manager and LORA Manager plugin to help you easily download and manage Checkpoints, LORAs and other resources. Not only these two are helpful for this workflow but they will help you a lot in any other cases). You need a Hugging Face account to download your necessary files (Details are mentioned below). Make sure you install GGUF addon for ComfyUI using ComfyUI manager and place the correct files in correct places. Also check out my other workflows for SD 1.5 + SDXL 1.0, WAN 2.1, WAN 2.2, QWEN, HiDream, KREA, Chroma, AuraFlow, Z-Image Turbo and Flux.How to use this -#1. Just select your desired Magic WAN Image v2 GGUF model first and then load #2. one or multiple matching LORA(s) from LORA Manager to start #3. then input your positive and negative prompts. #4. select how many images you want (Change the number besides the "Run" button)#5. select image sampling methods, CFG, steps etc. settings#6. finally press the run button to generate. That's it.. *** This workflow will also function even if you don't use any single LORARequired Files==================### Download Link for Magic WAN Image v2 GGUF model<a target="_blank" rel="ugc" href="https://huggingface.co/vantagewithai/Magic-Wan-Image-V2-GGUF/resolve/main/Magic-Wan-Image-V2-Q3_K_S.gguf">https://huggingface.co/vantagewithai/Magic-Wan-Image-V2-GGUF/resolve/main/Magic-Wan-Image-V2-Q3_K_S.gguf</a>### Download Link for WAN 2.1 Encoder (Same one for WAN 2.1 or WAN 2.2)<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors">https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors</a># Download Link for WAN 2.1 VAE (Same one for WAN 2.1 or WAN 2.2)<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors">https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors</a>

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