ON-THE-FLY 实时生成！Wan-AI 万相/ Wan2.1 Video Model (multi-specs) - CausVid&Comfy&Kijai - workflow included

open-clip-xlm-roberta-large-vit-huge-14_fp16.safetensorsKijai ComfyUI wrapper nodes for <a target="_blank" rel="ugc" href="https://github.com/Wan-Video/Wan2.1">WanVideo</a>WORK IN PROGRESS<a target="_blank" rel="ugc" href="https://civitai.com/user/kijaidesign">@kijaidesign</a> 's works<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/tree/main">Huggingface - Kijai/WanVideo_comfy</a><a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-WanVideoWrapper/">GitHub - kijai/ComfyUI-WanVideoWrapper</a>Text encoders to <code>ComfyUI/models/text_encoders</code>Transformer to <code>ComfyUI/models/diffusion_models</code>Vae to <code>ComfyUI/models/vae</code>Right now I have only ran the I2V model succesfully.Can't get frame counts under 81 to work, this was 512x512x81~16GB used with 20/40 blocks offloaded<a target="_blank" rel="ugc" href="https://huggingface.co/Wan-AI/Wan2.1-T2V-14B/blob/main/%22%22">Wan: Open and Advanced Large-Scale Video Generative Models</a>In this repository, we present Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features:<ul><li>👍 SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks.</li><li>👍 Supports Consumer-grade GPUs: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models.</li><li>👍 Multiple Tasks: Wan2.1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation.</li><li>👍 Visual Text Generation: Wan2.1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications.</li><li>👍 Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation.</li></ul>This repository features our T2V-14B model, which establishes a new SOTA performance benchmark among both open-source and closed-source models. It demonstrates exceptional capabilities in generating high-quality visuals with significant motion dynamics. It is also the only video model capable of producing both Chinese and English text and supports video generation at both 480P and 720P resolutions.

onTHEFLYWanAIWan21VideoModel_kijaiOpenCliplVitWan.safetensors

Kijai-open-clipl-vit-Wan

CausVid14B(适配VACE)🔥

首尾帧-FLF2V-14B-720P

ComfyORG i2v-720p GGUF

ComfyORG i2v-480p GGUF

ComfyORG wan_2.1_vae

Kijai-Wan2.1-T2V-14B

Kijai-Wan2.1-I2V-14B-720P

Kijai-umt5-xxl-enc-Wan

Kijai-Wan2.1-I2V-14B-480P

Kijai_Wan2_1_VAE

Kijai-Wan2.1-T2V-1.3B

Files with SHA256: 875648f9bc6d9f7a9364f4c0cf5fb728dbc57f5e35b4dfb14114a8ec0cae041d