Buckets:
π WanVideo Model Suite
Combined & Quantized Models for ComfyUI Workflows
Derived from Wan-AI/Wan2.1-VACE-14B
π Overview
This repository provides optimized models for WanVideoβa high-fidelity video generation framework. Models are quantized to balance performance and resource efficiency while retaining visual quality. Designed for seamless integration with ComfyUI via:
- WanVideo Wrapper (Third-party extension)
- Native WanVideo nodes in ComfyUI
π§ Key Components
1. Core Diffusion Models
| File | Size | Description |
|---|---|---|
wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors |
Quantized (FP8) | Base video generation model (14B params, 720p). |
fantasytalking_fp16.safetensors |
FP16 | Specialized model for expressive dialogue animation. |
2. Text & Vision Encoders
| File | Type | Role |
|---|---|---|
umt5-xxl-enc-bf16.safetensors |
Text Encoder (UMT5-XXL) | BF16 precision for multilingual text understanding. |
clip_vision_h.safetensors |
Vision Encoder | Processes visual inputs for conditional generation. |
π ComfyUI Setup Guide
Place files in these directories within your ComfyUI installation:
models/
βββ diffusion_models/
β βββ wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors
β βββ fantasytalking_fp16.safetensors
βββ clip_vision/
β βββ clip_vision_h.safetensors
βββ text_encoders/
βββ umt5-xxl-enc-bf16.safetensors
π Dependencies & Resources
Vision Encoder Resources
- Download
clip_vision_h.safetensorsfrom:
Comfy-Org/Wan_2.1_ComfyUI_repackaged
- Download
FantasyTalking Model
- Source code & usage: GitHub Repository
Base Model
- Full precision version: Wan-AI/Wan2.1-VACE-14B
π‘ Usage Notes
- Quantization Benefits: FP8 reduces VRAM usage by ~50% vs FP16, enabling 720p generation on consumer GPUs.
- Workflow Compatibility: Combine with
Text-to-Video,Image-to-Video, orFantasyTalkingnodes in ComfyUI. - Multi-Modal Inputs: UMT5-XXL encoder supports multilingual prompts (e.g., English, Chinese).
βοΈ License
Inherited from parent models (Check Wan-AI License). Non-commercial/research use recommended pending verification.
β¨ Pro Tip: For optimal results, pair with WanVideoβs temporal consistency modules to reduce frame flickering in long sequences.
Model Card curated by the ComfyUI community. Maintained for reproducibility and ease of deployment.
Xet Storage Details
- Size:
- 3.01 kB
- Xet hash:
- 5d906b98d9aa38266730ca567bcd1cb3fa3df2191bac43b2a9efbcb967a2e32d
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.