Wan2.2 GGUF Workflow test — Wan2.2 GGUF WF
Wan2.2 GGUF WF
Runtime profile
- Access
- External workflow
- Status
- Listed
- Version
- want2v_2.2_00001.json
- Source
- Civitai
- Updated
- Oct 18, 2026
What you need
- Model files
- 45.6 GiB known subtotal
Remaining hardware or download-size estimates are not available yet.
Requirements
Models
8Vision model · 135 B · SAFETENSORS · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
File unverifiedText encoder · Unknown
wan_2.1_vae.safetensors
File unverifiedVAE · Unknown
Wan_bounceV_01.safetensors
Not resolvedLoRA · Unknown
Checkpoint · 16.9 GB · Civitai · 1295569
Checkpoint · 14.3 GB · GGUF · Unknown
Checkpoint · 14.3 GB · GGUF · Unknown
Wan21_CausVid_14B_T2V_lora_rank32.safetensors
Not resolvedLoRA · Unknown
Node packs
5comfyui-gguf
PossibleNode pack · Registry
ComfyUI-HunyuanVideoMultiLora
FoundNode pack · Registry
- Found
Node pack · Registry
- Found
Node pack · Registry
comfyui-videohelpersuite
FoundNode pack · Registry
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
Purpose
Use this Wan2.2 GGUF workflow to generate Wan Video 14B t2v clips from the Wan2.2-T2V-A14B-HighNoise-Q8_0.gguf and Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf checkpoints, with examples at 33 low-resolution frames and 1280x720.
Inputs and outputs
Its main model inputs are Wan2.2-T2V-A14B-HighNoise-Q8_0.gguf and Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf.
The workflow description gives 33 low-resolution frames and 1280x720 as generation examples.
Setup
It is listed as a Workflow based on Wan Video 14B t2v and published by sikasolutionsworldwide709.
Open it at https://civitai.com/models/1818827?modelVersionId=2058273.
Dependencies
The listed node packs are comfyui-gguf, ComfyUI-HunyuanVideoMultiLora, comfyui-kjnodes, comfyui-multigpu, and comfyui-videohelpersuite.
The listed model files include wan2.1-i2v-14b-480p-Q8_0.gguf, Wan2.2-T2V-A14B-HighNoise-Q8_0.gguf, and Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf.
Other listed files are wan_2.1_vae.safetensors, clip_vision_h.safetensors, umt5_xxl_fp8_e4m3fn_scaled.safetensors, Wan_bounceV_01.safetensors, and Wan21_CausVid_14B_T2V_lora_rank32.safetensors.
Configuration
A source example uses a PC with 64 GB RAM, an RTX 4070 with 12 GB VRAM, and Q8 GGUF checkpoints.
Treat the reported 546 seconds for 33 low-resolution frames and 24:01 for 1280x720 as examples from that setup, not expected runtimes.
Suggestion · not verified
Cautions
Before using it, verify which exact comfyui-gguf package matches the workflow.
Suggestion · not verified
Before using it, verify that wan2.1-i2v-14b-480p-Q8_0.gguf, Wan_bounceV_01.safetensors, and Wan21_CausVid_14B_T2V_lora_rank32.safetensors are available.
Suggestion · not verified
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Sources
1 source
Sources
1 sourceSource excerpts
3 excerpts
Source excerpts
3 excerptsSource context: 2241 downloads · Type Workflows · Base model Wan Video 14B t2v
Source context: 2122 downloads · Type Workflows · Base model Wan Video 14B t2v
Source context: 2071 downloads · Type Workflows · Base model Wan Video 14B t2v
