https://Peraspera1.github.io/tags/nvidia/ Recent content in Nvidia on Xiong Jia Hugo -- gohugo.io zh-cn xj Tue, 04 Mar 2025 16:22:05 +0800 https://Peraspera1.github.io/p/cosmos/ Tue, 04 Mar 2025 16:22:05 +0800 https://Peraspera1.github.io/p/cosmos/ <img src="https://Peraspera1.github.io/images/cosmos/cover.png" alt="Featured image of post Cosmos" /><h2 id="cosmoscomfyui-环境配置记录">Cosmos+ComfyUI 环境配置记录 </h2><h3 id="配置comfyui-环境">配置ComfyUI 环境 </h3><p>官方推荐的是python=3.12版本，但是由于我的cuda是11.7版本，没有对应的pytorch，所以我改成了3.11版本的python及其对应的pytorch，这里的版本可根据需要自行修改。</p> <p>在终端中输入：</p> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt">1 </span><span class="lnt">2 </span><span class="lnt">3 </span><span class="lnt">4 </span><span class="lnt">5 </span><span class="lnt">6 </span><span class="lnt">7 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"><span class="line"><span class="cl"><span class="n">conda</span> <span class="n">create</span> <span class="o">--</span><span class="n">name</span> <span class="n">comfyui</span> <span class="n">python</span><span class="o">=</span><span class="mf">3.11</span> </span></span><span class="line"><span class="cl"><span class="n">conda</span> <span class="n">activate</span> <span class="n">comfyui</span> </span></span><span class="line"><span class="cl"><span class="n">conda</span> <span class="n">install</span> <span class="n">pytorch</span><span class="o">==</span><span class="mf">2.5.1</span> <span class="n">torchvision</span><span class="o">==</span><span class="mf">0.15.2</span> <span class="n">torchaudio</span><span class="o">==</span><span class="mf">2.0.2</span> <span class="n">pytorch</span><span class="o">-</span><span class="n">cuda</span><span class="o">=</span><span class="mf">12.1</span> <span class="o">-</span><span class="n">c</span> <span class="n">pytorch</span> <span class="o">-</span><span class="n">c</span> <span class="n">nvidia</span> </span></span><span class="line"><span class="cl"> </span></span><span class="line"><span class="cl"><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">comfyanonymous</span><span class="o">/</span><span class="n">ComfyUI</span><span class="o">.</span><span class="n">git</span> </span></span><span class="line"><span class="cl"><span class="n">cd</span> <span class="n">ComfyUI</span><span class="o">/</span> </span></span><span class="line"><span class="cl"><span class="n">pip</span> <span class="n">install</span> <span class="o">-</span><span class="n">r</span> <span class="n">requirements</span><span class="o">.</span><span class="n">txt</span> <span class="o">-</span><span class="n">i</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">pypi</span><span class="o">.</span><span class="n">mirrors</span><span class="o">.</span><span class="n">ustc</span><span class="o">.</span><span class="n">edu</span><span class="o">.</span><span class="n">cn</span><span class="o">/</span><span class="n">simple</span><span class="o">/</span> </span></span></code></pre></td></tr></table> </div> </div><p>之后运行</p> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt">1 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"><span class="line"><span class="cl"><span class="n">python</span> <span class="n">main</span><span class="o">.</span><span class="n">py</span> </span></span></code></pre></td></tr></table> </div> </div><p>出现如下结果： <img src="https://Peraspera1.github.io/images/cosmos/comfyui1.png" loading="lazy" alt="终端截图" ></p> <p>打开网站后结果如下 <img src="https://Peraspera1.github.io/images/cosmos/comfyui2.png" loading="lazy" alt="网页UI" ></p> <p>至此comfyUI配置完成</p> <h3 id="cosmos-相关配置">Cosmos 相关配置 </h3><p>下载 <a class="link" href="https://huggingface.co/comfyanonymous/cosmos_1.0_text_encoder_and_VAE_ComfyUI/tree/main/text_encoders" target="_blank" rel="noopener" >语言模型</a> 并保存到ComfyUI/models/text_encoders/ 路径下</p> <p>下载 <a class="link" href="https://huggingface.co/comfyanonymous/cosmos_1.0_text_encoder_and_VAE_ComfyUI/blob/main/vae/cosmos_cv8x8x8_1.0.safetensors" target="_blank" rel="noopener" >vae</a> 并保存到 ComfyUI/models/vae/ 路径下</p> <p>下载 <a class="link" href="https://huggingface.co/mcmonkey/cosmos-1.0/blob/main/Cosmos-1_0-Diffusion-7B-Text2World.safetensors" target="_blank" rel="noopener" >cosmos模型</a> 并保存到 ComfyUI/models/diffusion_models 路径下</p> <h3 id="comfyui-工作流配置">ComfyUI 工作流配置 </h3><p>在<a class="link" href="https://comfyanonymous.github.io/ComfyUI_examples/cosmos/" target="_blank" rel="noopener" >官方文档</a>中，下载对应的json文件并保存到comfyui下的workflow的文件夹（自己新建），下图以text2video为例</p> <p><img src="https://Peraspera1.github.io/images/cosmos/comfyui3.png" loading="lazy" alt="workflow" ></p> <p>然后在网页端打开这个工作流直接运行就可以了</p> <h3 id="踩坑">踩坑 </h3><p>Q1</p> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt">1 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"><span class="line"><span class="cl"><span class="n">module</span> <span class="s1">&#39;torch&#39;</span> <span class="n">has</span> <span class="n">no</span> <span class="n">attribute</span> <span class="s1">&#39;float8_e4m3fn&#39;</span> </span></span></code></pre></td></tr></table> </div> </div><p>A1</p> <p>torch版本太低了，升级到pytorch=2.5.1+cuda=12.1就好</p> <h1 id="comfyui-基本使用方法">Comfyui 基本使用方法 </h1><p>安装了两个插件还挺好用的，分别是AlekPet和VHS</p>