WAN 2.2 ComfyUI 3 Workflow : 4-Step Video from Text or Image — LoRA, Tea Cache, Low VRAM скачать в хорошем качестве

WAN 2.2 ComfyUI 3 Workflow : 4-Step Video from Text or Image — LoRA, Tea Cache, Low VRAM

In this video, you’ll learn: • How I cut generation time from 40 minutes down to just 1 minute using WAN 2.2 ComfyUI workflow • Which version actually gives the best visual output — FP16 vs FP8 vs Ti2V 5B • Why using LoRAs like PUCA V1 or LightX2V 14B can completely change your animation results So yeah… I didn’t expect WAN 2.2 to need this many tweaks out of the box. My first run with the FP16 model? Brutal. Took 40 minutes to finish a single image-to-video render. But after changing some model settings, swapping VAE files, and reworking the two-stage sampling, I got it down to just over a minute. And honestly? The output was shockingly good. In this one, I test the 14B FP16, 14B FP8, and the newer WAN 2.2 Ti2V 5B models side-by-side. Same prompt, same setup — just raw comparisons. One version looked too perfect. Another looked more human. You’ll see what I mean. I also walk through what files you need, where to drop them, and how the new Mixture of Experts system works — with the automatic switch between high-noise and low-noise models mid-generation. Sounds complicated, but once it clicks, it’s pretty smooth in ComfyUI. Later in the video, I tested lower step counts, LoRA toggles, and even ran the workflow using the tea_cache node with clear VRAM steps in between. Some versions took less than 30 seconds. Others pushed realism to near-photographic quality — even on a 10GB model. And yes, I also ran pure text-to-video tests with prompts like “A soldier moves across a battlefield” and “A woman dancing” using the new WAN 2.2 T2V setup. Even the 4-step renders were surprisingly usable — and with minor LoRA tweaks, the realism jumped up fast. If you’ve been wondering what WAN 2.2 can really do inside ComfyUI — especially with limited VRAM — this walkthrough has everything you need. I kept things real, tested on multiple GPUs, and included both high and low-end setups. Resources mentioned: • Free Workflow: https://aistudynow.com/wan-2-2-comfyu... #wan22comfyui #comfyuiworkflow #texttovideoai