Wan2.2_T2V_14B_Fp8-Low Vram

🌀 Wan 2.2 T2V UNet (Low VRAM FP8 CLEAN Versions).

I’ve .repackaged the official Wan 2.2 T2V UNet checkpoints into low VRAM FP8 versions, so they’re easier to run on smaller GPUs while still working with ComfyUI video workflows.

Note: Clean versions do not contains any lora(s)

✅ Available Variants

• Wan2.2_T2V_High_Noise_14B_Fp8-LowVRAM

• Wan2.2_T2V_Low_Noise_14B_Fp8-LowVRAM

🔗 Original Models (credit goes here, not me)

These are directly converted from the official checkpoints released by Comfy-Org.
I did not train or create these models — I only adapted them for lower VRAM use.

• High Noise FP16 (original on HuggingFace)

• Low Noise FP16 (original on HuggingFace)

📌 Notes

• Works with WAN 2.2 ComfyUI pipelines.

• FP8 format helps with VRAM efficiency, useful if you’re on GPUs <8GB VRAM or higher.

• Quality is close to FP16, but some precision differences may occur.

• These are UNet-only checkpoints (not full model packages).

⚠️ Disclaimer

I am not the creator of Wan 2.2 or these checkpoints. Full credit belongs to Comfy-Org and the original developers. This upload only provides low VRAM-converted versions of the original UNets.