政安晨【零基础玩转各类开源AI项目】Wan 2.1 本地部署，基于ComfyUI运行，最强文生视频 图生视频，一键生成高质量影片

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目录

下载项目

创建虚拟环境

安装项目依赖

尝试运行

依次下载模型

完成

---

我们今天要使用的Wan2.1模型，文生视频与图生视频，效果很不错，我以前的文章部署过comfyUI：

政安晨【零基础玩转各类开源AI项目】基于Ubuntu系统部署ComfyUI：功能最强大、模块化程度最高的Stable Diffusion图形用户界面和后台_comfyui ubuntu-CSDN博客文章浏览阅读1.4k次，点赞10次，收藏25次。ComfyUI这套框架可让您使用基于图形/节点/流程图的界面设计和执行高级稳定扩散管道。_comfyui ubuntuhttps://blog.csdn.net/snowdenkeke/article/details/140156889这次重新部署，完整演绎使用Wan 2.1的模型，看一下在消费级显卡上的使用效果。

当我们完成这次使用演绎后，相信您已经可以掌握一套这是能够商用的视频生成工具了。

下载项目

git clone git@github.com:comfyanonymous/ComfyUI.git

我们可以看到ComfyUI的结构：

至于ComfyUI的特性我这里就不过多赘述了，看我以前的文章。

今天我们就是要把这套彻底用好，用它生成酷炫的视频。。。！！

创建虚拟环境

因为我的AI工具比较多，我都是采用虚拟环境进行安装：

conda create -n comfyui python=3.10.16

创建之后，我们启动它：

conda activate comfyui

真心推荐使用N卡：

pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu126

安装完毕，没有报错，如果出现错误，请照此解决：

If you get the "Torch not compiled with CUDA enabled" error, uninstall torch with:pip uninstall torchAnd install it again with the command above.

安装项目依赖

进入刚才下载的项目目录，执行：

pip install -r requirements.txt

尝试运行

基本框架安装完毕后，可以尝试运行一下，熟悉一下界面：

python main.py

本地浏览器打开：http://127.0.0.1:8188

在运行过程中查看服务器打印没有错误，就可以继续了。

此时，您会发现只能本地访问，默认情况下，ComfyUI 可能仅绑定到 127.0.0.1（本地回环地址），导致局域网无法访问。需要将其绑定到 0.0.0.0（监听所有网络接口）。

可以这样配置：
 

方法一：通过启动参数配置

在启动 ComfyUI 时添加 --listen 参数：

python main.py --listen 0.0.0.0 --port 8188

方法二：修改启动脚本

编辑启动脚本，增加如下语句：
 

@echo off
set PYTHONPATH=.
python main.py --listen 0.0.0.0 --port 8188

重新启动，现在您可以局域网中访问啦：

如果提示缺少模型，可以尝试点击下载，测试一下，注意保证网络通畅，嘻嘻。

依次下载模型

1. 下载文本编码器 ：umt5_xxl_fp8_e4m3fn_scaled.safetensors 放入：ComfyUI/models/text_encoders/

放入这个位置： 

2. 下载VAE文件 wan_2.1_vae.safetensors 放入：ComfyUI/models/vae/：

3、下载视频生成模型 【点击下载】

注意：建议使用 fp16 版本而不是 bf16 版本，因为它们会产生更好的结果。

质量等级（从高到低）：fp16 > bf16 > fp8_scaled > fp8_e4m3fn

这些文件位于：ComfyUI/models/diffusion_models/

这些示例使用 16 位文件，但如果内存不足，则可以使用 fp8 文件。

根据您的显存情况进行选择：

4、文字转视频工作流：下载 Json 格式的工作流

工作流文件内容如下:

{"last_node_id": 48,"last_link_id": 95,"nodes": [{"id": 8,"type": "VAEDecode","pos": [1210,190],"size": [210,46],"flags": {},"order": 8,"mode": 0,"inputs": [{"name": "samples","type": "LATENT","link": 35},{"name": "vae","type": "VAE","link": 76}],"outputs": [{"name": "IMAGE","type": "IMAGE","links": [56,93],"slot_index": 0}],"properties": {"Node name for S&R": "VAEDecode"},"widgets_values": []},{"id": 39,"type": "VAELoader","pos": [866.3932495117188,499.18597412109375],"size": [306.36004638671875,58],"flags": {},"order": 0,"mode": 0,"inputs": [],"outputs": [{"name": "VAE","type": "VAE","links": [76],"slot_index": 0}],"properties": {"Node name for S&R": "VAELoader"},"widgets_values": ["wan_2.1_vae.safetensors"]},{"id": 28,"type": "SaveAnimatedWEBP","pos": [1460,190],"size": [870.8511352539062,643.7430419921875],"flags": {},"order": 9,"mode": 0,"inputs": [{"name": "images","type": "IMAGE","link": 56}],"outputs": [],"properties": {},"widgets_values": ["ComfyUI",16,false,90,"default",""]},{"id": 7,"type": "CLIPTextEncode","pos": [413,389],"size": [425.27801513671875,180.6060791015625],"flags": {},"order": 5,"mode": 0,"inputs": [{"name": "clip","type": "CLIP","link": 75}],"outputs": [{"name": "CONDITIONING","type": "CONDITIONING","links": [52],"slot_index": 0}],"title": "CLIP Text Encode (Negative Prompt)","properties": {"Node name for S&R": "CLIPTextEncode"},"widgets_values": ["色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"],"color": "#322","bgcolor": "#533"},{"id": 38,"type": "CLIPLoader","pos": [12.94982624053955,184.6981658935547],"size": [390,82],"flags": {},"order": 1,"mode": 0,"inputs": [],"outputs": [{"name": "CLIP","type": "CLIP","links": [74,75],"slot_index": 0}],"properties": {"Node name for S&R": "CLIPLoader"},"widgets_values": ["umt5_xxl_fp8_e4m3fn_scaled.safetensors","wan","default"]},{"id": 40,"type": "EmptyHunyuanLatentVideo","pos": [520,620],"size": [315,130],"flags": {},"order": 2,"mode": 0,"inputs": [],"outputs": [{"name": "LATENT","type": "LATENT","links": [91],"slot_index": 0}],"properties": {"Node name for S&R": "EmptyHunyuanLatentVideo"},"widgets_values": [832,480,33,1]},{"id": 47,"type": "SaveWEBM","pos": [2367.213134765625,193.6114959716797],"size": [315,130],"flags": {},"order": 10,"mode": 4,"inputs": [{"name": "images","type": "IMAGE","link": 93}],"outputs": [],"properties": {"Node name for S&R": "SaveWEBM"},"widgets_values": ["ComfyUI","vp9",24,32]},{"id": 3,"type": "KSampler","pos": [863,187],"size": [315,262],"flags": {},"order": 7,"mode": 0,"inputs": [{"name": "model","type": "MODEL","link": 95},{"name": "positive","type": "CONDITIONING","link": 46},{"name": "negative","type": "CONDITIONING","link": 52},{"name": "latent_image","type": "LATENT","link": 91}],"outputs": [{"name": "LATENT","type": "LATENT","links": [35],"slot_index": 0}],"properties": {"Node name for S&R": "KSampler"},"widgets_values": [82628696717253,"randomize",30,6,"uni_pc","simple",1]},{"id": 48,"type": "ModelSamplingSD3","pos": [440,50],"size": [210,58],"flags": {},"order": 6,"mode": 0,"inputs": [{"name": "model","type": "MODEL","link": 94}],"outputs": [{"name": "MODEL","type": "MODEL","links": [95],"slot_index": 0}],"properties": {"Node name for S&R": "ModelSamplingSD3"},"widgets_values": [8]},{"id": 37,"type": "UNETLoader","pos": [20,40],"size": [346.7470703125,82],"flags": {},"order": 3,"mode": 0,"inputs": [],"outputs": [{"name": "MODEL","type": "MODEL","links": [94],"slot_index": 0}],"properties": {"Node name for S&R": "UNETLoader"},"widgets_values": ["wan2.1_t2v_1.3B_fp16.safetensors","default"]},{"id": 6,"type": "CLIPTextEncode","pos": [415,186],"size": [422.84503173828125,164.31304931640625],"flags": {},"order": 4,"mode": 0,"inputs": [{"name": "clip","type": "CLIP","link": 74}],"outputs": [{"name": "CONDITIONING","type": "CONDITIONING","links": [46],"slot_index": 0}],"title": "CLIP Text Encode (Positive Prompt)","properties": {"Node name for S&R": "CLIPTextEncode"},"widgets_values": ["a fox moving quickly in a beautiful winter scenery nature trees mountains daytime tracking camera"],"color": "#232","bgcolor": "#353"}],"links": [[35,3,0,8,0,"LATENT"],[46,6,0,3,1,"CONDITIONING"],[52,7,0,3,2,"CONDITIONING"],[56,8,0,28,0,"IMAGE"],[74,38,0,6,0,"CLIP"],[75,38,0,7,0,"CLIP"],[76,39,0,8,1,"VAE"],[91,40,0,3,3,"LATENT"],[93,8,0,47,0,"IMAGE"],[94,37,0,48,0,"MODEL"],[95,48,0,3,0,"MODEL"]],"groups": [],"config": {},"extra": {"ds": {"scale": 1.1167815779425205,"offset": [-5.675057867608515,8.013751263058214]}},"version": 0.4
}

把这个工作流文件拖进comfyUI中：

可以更改提示词：

反向提示词可以不用动，基本一样：

色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走

生成之后的效果如下：

也可以生成动画表情：

5. 下载图像转视频模型：

下载wan2.1_i2v_480p_14B_fp16.safetensors文件，将其放入：ComfyUI/models/diffusion_models/

 

下载 ：

clip_vision_h.safetensors 放入：ComfyUI/models/clip_vision/

 

6.下载工作流

Json 格式的工作流

{"last_node_id": 54,"last_link_id": 111,"nodes": [{"id": 8,"type": "VAEDecode","pos": [1210,190],"size": [210,46],"flags": {},"order": 11,"mode": 0,"inputs": [{"name": "samples","type": "LATENT","link": 35},{"name": "vae","type": "VAE","link": 76}],"outputs": [{"name": "IMAGE","type": "IMAGE","links": [56,93],"slot_index": 0}],"properties": {"Node name for S&R": "VAEDecode"},"widgets_values": []},{"id": 39,"type": "VAELoader","pos": [866.3932495117188,499.18597412109375],"size": [306.36004638671875,58],"flags": {},"order": 0,"mode": 0,"inputs": [],"outputs": [{"name": "VAE","type": "VAE","links": [76,99],"slot_index": 0}],"properties": {"Node name for S&R": "VAELoader"},"widgets_values": ["wan_2.1_vae.safetensors"]},{"id": 28,"type": "SaveAnimatedWEBP","pos": [1460,190],"size": [870.8511352539062,643.7430419921875],"flags": {},"order": 12,"mode": 0,"inputs": [{"name": "images","type": "IMAGE","link": 56}],"outputs": [],"properties": {},"widgets_values": ["ComfyUI",16,false,90,"default"]},{"id": 47,"type": "SaveWEBM","pos": [2367.213134765625,193.6114959716797],"size": [315,130],"flags": {},"order": 13,"mode": 4,"inputs": [{"name": "images","type": "IMAGE","link": 93}],"outputs": [],"properties": {"Node name for S&R": "SaveWEBM"},"widgets_values": ["ComfyUI","vp9",24,32]},{"id": 7,"type": "CLIPTextEncode","pos": [413,389],"size": [425.27801513671875,180.6060791015625],"flags": {},"order": 7,"mode": 0,"inputs": [{"name": "clip","type": "CLIP","link": 75}],"outputs": [{"name": "CONDITIONING","type": "CONDITIONING","links": [98],"slot_index": 0}],"title": "CLIP Text Encode (Negative Prompt)","properties": {"Node name for S&R": "CLIPTextEncode"},"widgets_values": ["色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"],"color": "#322","bgcolor": "#533"},{"id": 50,"type": "WanImageToVideo","pos": [673.0507202148438,627.272705078125],"size": [342.5999755859375,210],"flags": {},"order": 9,"mode": 0,"inputs": [{"name": "positive","type": "CONDITIONING","link": 97},{"name": "negative","type": "CONDITIONING","link": 98},{"name": "vae","type": "VAE","link": 99},{"name": "clip_vision_output","type": "CLIP_VISION_OUTPUT","shape": 7,"link": 107},{"name": "start_image","type": "IMAGE","shape": 7,"link": 106}],"outputs": [{"name": "positive","type": "CONDITIONING","links": [101],"slot_index": 0},{"name": "negative","type": "CONDITIONING","links": [102],"slot_index": 1},{"name": "latent","type": "LATENT","links": [103],"slot_index": 2}],"properties": {"Node name for S&R": "WanImageToVideo"},"widgets_values": [512,512,33,1]},{"id": 6,"type": "CLIPTextEncode","pos": [415,186],"size": [422.84503173828125,164.31304931640625],"flags": {},"order": 6,"mode": 0,"inputs": [{"name": "clip","type": "CLIP","link": 74}],"outputs": [{"name": "CONDITIONING","type": "CONDITIONING","links": [97],"slot_index": 0}],"title": "CLIP Text Encode (Positive Prompt)","properties": {"Node name for S&R": "CLIPTextEncode"},"widgets_values": ["a cute anime girl with massive fennec ears and a big fluffy tail wearing a maid outfit turning around"],"color": "#232","bgcolor": "#353"},{"id": 3,"type": "KSampler","pos": [863,187],"size": [315,262],"flags": {},"order": 10,"mode": 0,"inputs": [{"name": "model","type": "MODEL","link": 111},{"name": "positive","type": "CONDITIONING","link": 101},{"name": "negative","type": "CONDITIONING","link": 102},{"name": "latent_image","type": "LATENT","link": 103}],"outputs": [{"name": "LATENT","type": "LATENT","links": [35],"slot_index": 0}],"properties": {"Node name for S&R": "KSampler"},"widgets_values": [987948718394761,"randomize",20,6,"uni_pc","simple",1]},{"id": 49,"type": "CLIPVisionLoader","pos": [20,640],"size": [315,58],"flags": {},"order": 1,"mode": 0,"inputs": [],"outputs": [{"name": "CLIP_VISION","type": "CLIP_VISION","links": [94],"slot_index": 0}],"properties": {"Node name for S&R": "CLIPVisionLoader"},"widgets_values": ["clip_vision_h.safetensors"]},{"id": 51,"type": "CLIPVisionEncode","pos": [360,640],"size": [253.60000610351562,78],"flags": {},"order": 5,"mode": 0,"inputs": [{"name": "clip_vision","type": "CLIP_VISION","link": 94},{"name": "image","type": "IMAGE","link": 109}],"outputs": [{"name": "CLIP_VISION_OUTPUT","type": "CLIP_VISION_OUTPUT","links": [107],"slot_index": 0}],"properties": {"Node name for S&R": "CLIPVisionEncode"},"widgets_values": ["none"]},{"id": 52,"type": "LoadImage","pos": [20,760],"size": [315,314],"flags": {},"order": 2,"mode": 0,"inputs": [],"outputs": [{"name": "IMAGE","type": "IMAGE","links": [106,109],"slot_index": 0},{"name": "MASK","type": "MASK","links": null,"slot_index": 1}],"properties": {"Node name for S&R": "LoadImage"},"widgets_values": ["flux_dev_example.png","image"]},{"id": 38,"type": "CLIPLoader","pos": [20,190],"size": [390,82],"flags": {},"order": 3,"mode": 0,"inputs": [],"outputs": [{"name": "CLIP","type": "CLIP","links": [74,75],"slot_index": 0}],"properties": {"Node name for S&R": "CLIPLoader"},"widgets_values": ["umt5_xxl_fp8_e4m3fn_scaled.safetensors","wan","default"]},{"id": 37,"type": "UNETLoader","pos": [20,70],"size": [346.7470703125,82],"flags": {},"order": 4,"mode": 0,"inputs": [],"outputs": [{"name": "MODEL","type": "MODEL","links": [110],"slot_index": 0}],"properties": {"Node name for S&R": "UNETLoader"},"widgets_values": ["wan2.1_i2v_480p_14B_fp16.safetensors","default"]},{"id": 54,"type": "ModelSamplingSD3","pos": [510,70],"size": [315,58],"flags": {},"order": 8,"mode": 0,"inputs": [{"name": "model","type": "MODEL","link": 110}],"outputs": [{"name": "MODEL","type": "MODEL","links": [111],"slot_index": 0}],"properties": {"Node name for S&R": "ModelSamplingSD3"},"widgets_values": [8]}],"links": [[35,3,0,8,0,"LATENT"],[56,8,0,28,0,"IMAGE"],[74,38,0,6,0,"CLIP"],[75,38,0,7,0,"CLIP"],[76,39,0,8,1,"VAE"],[93,8,0,47,0,"IMAGE"],[94,49,0,51,0,"CLIP_VISION"],[97,6,0,50,0,"CONDITIONING"],[98,7,0,50,1,"CONDITIONING"],[99,39,0,50,2,"VAE"],[101,50,0,3,1,"CONDITIONING"],[102,50,1,3,2,"CONDITIONING"],[103,50,2,3,3,"LATENT"],[106,52,0,50,4,"IMAGE"],[107,51,0,50,3,"CLIP_VISION_OUTPUT"],[109,52,0,51,1,"IMAGE"],[110,37,0,54,0,"MODEL"],[111,54,0,3,0,"MODEL"]],"groups": [],"config": {},"extra": {"ds": {"scale": 1.015255979947749,"offset": [4.576817595742521,-17.69629597715313]}},"version": 0.4
}

我准备使用这张图片生成一段动画：

完成

基于上面地图生视频工作流，生成地动画效果如下：

控制好风格后，应该会不错。

至此，您掌握了一套非凡工具，嘻嘻。