<ul><li><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a53615fd-3460-49e5-a970-62c5729027d0/width=525/a53615fd-3460-49e5-a970-62c5729027d0.jpeg" /><a rel="ugc" href="https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors?download=true">Clip-l</a></li></ul><ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/668417">for GGUF t5 models</a></li><li><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cd41b35d-542e-4af2-a1e3-7b53cc3294ee/width=525/cd41b35d-542e-4af2-a1e3-7b53cc3294ee.jpeg" />OFFICIAL gguf models</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/658101/flux-advance">advance gguf workflow</a></li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/682369">MY UNIQUE EDITION model</a></li><li>MY MERGE </li></ul>*** remember the gguf format not depend that much on GPU so the Q8 is the most closed for fp16 and its the best choice for PC users<h2 id="steps:-t4h8o12k0">STEPS:</h2><ul><li>"download workflow &gt; install missing nodes through manager &gt; run it"</li><li>manually</li></ul>1. Clone the RepositoryClone the custom node repository to your ComfyUI custom nodes folder:<pre><code> git clone https://github.com/city96/ComfyUI-GGUF</code></pre>2. Install DependenciesInstall the necessary dependency for inference:<pre><code> pip install --upgrade gguf</code></pre><h3 id="if-you-have-this-error-during-loading-gguf-loader-bairrbfru">if you have this error during loading gguf loader</h3><pre><code> newbyteorder was removed from the ndarray class in NumPy 2.0.</code></pre>try:<pre><code>pip install numpy==1.26.4</code></pre><ul><li>article help you to choose which model to download</li></ul><a target="_blank" rel="ugc" href="https://civarchive.com/articles/6730/flux-gguf">https://civarchive.com/articles/6730/flux-gguf</a>

Files with SHA256: 9f54e57fdae9b90f97a00ddf4321292e0991ff464a0dd44fcb2714e2387648db