Hello, this is a T2V (Text-to-Video) workflow built in ComfyUI via Wan2.2. Wan2.2 is a model capable of generating videos with ultra-high quality. The functions of this workflow are as follows:

1. While ensuring ultra-high quality, it optimizes the rendering time to the greatest extent—you can get a 5-second video in just 5 minutes.

2. Input simple prompts to get ultra-high quality results (this function needs to be used on the online platform; it can be disabled for local operation).

Let's get started!

Wan2.2 Text-To-Video

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🔗 Workflow Online Test Link

🔗 id="first-click:-click-the-link-to-claim-1100-rh-coins-(for-new-users-only)">First Click: Click the link to claim 1100 RH Coins (for new users only)

Uses of the Coins:

1. Can use RTX 4090 for free to render workflows for 2 hours

2. Allows generating approximately 20 videos (resolution: 1280*720)

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📦 WAN Models to Download

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🔴 Main WAN Model

Wan2_2-T2V-A14B_HIGH_fp8_e4m3fn_scaled_KJ.safetensors

🔗 [Download Link]( Place in: ComfyUI/models/diffusion_models

AND

Wan2_2-T2V-A14B-LOW_fp8_e4m3fn_scaled_KJ.safetensors

🔗 [Download Link]( Place in: ComfyUI/models/diffusion_models

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🟣 WAN2.2-LIGHTING

Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1-high_noise_model.safetensors

🔗 [Download Link]( [Download Link]( Place in: ComfyUI/models/vae

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🟣 WAN VAE

Wan2_1_VAE_bf16

🔗 [Download Link]( [Download Link]( Place in: ComfyUI/models/vae

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🟣 WAN Text Encoder

umt5-xxl-enc-bf16.safetensors

🔗 [Download Link]( [Download Link]( Place in: ComfyUI/models/text_encoders

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⚠️⚠️⚠️ Prompt Optimization

This feature can only be used on online platforms. For local use, you need to disable the prompt optimization node.

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⚠️ Torch Compile Warning

If your setup doesn’t support torch compile, set attention mode to sdpa in the model loader and bypas the Torch Compile settings and adjust the base_precision to just fp16

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⚠️ Block Swapping

Block swapping helps if you have lower VRAM and/or get OOM. You can bypass it first and then update the blocks to swap to a higher number till you don't get OOM (up to 40) It will run slower so don't use if you have enough VRAM.

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⚠️ Other known issues

If you get an error that has "FlowMatch" in it, please change your scheduler to uni_pc from FlowMatch_Causvid (or something else you like, dmp++_sde/beta is good too)