<h3 id="**civitai-is-renaming-every-downloaded-file-the-same-thing.-make-sure-you-save-as-and-name-the-file-so-you-know-what-it-is.**">**CIVITAI IS RENAMING EVERY DOWNLOADED FILE THE SAME THING. MAKE SURE YOU SAVE-AS AND NAME THE FILE SO YOU KNOW WHAT IT IS.**</h3>Everything here is free and stays free — the format spec, the nodes, the workflows, the cartridges, the LoRAs. If it saved you a night of debugging (it contains several hundred of mine), tips keep the 5090 warm:<ul><li>☕ <a target="_blank" rel="ugc" href="https://ko-fi.com/joeygambino">Buy me a coffee on Ko-fi</a></li><li>💛 <a target="_blank" rel="ugc" href="https://github.com/sponsors/jlucasmcrell">Sponsor on GitHub</a></li><li>🔁 <a target="_blank" rel="ugc" href="https://liberapay.com/joeygambino">Liberapay</a> (recurring)</li><li>⚡ Or right here: the Civitai tip button on this page sends Buzz directly.</li></ul>GGUF quantizations of the <a target="_blank" rel="ugc" href="https://huggingface.co/joeygambino/joyai-echo-ltx23-echoVid-ltxAud-surgical">echoVid+ltxAud surgical merge</a> — JoyAI-Echo's video branch married to LTX-2.3-distilled-1.1's audio branch, for multishot work where one character has to hold their face and voice across shots.A GGUF here is DiT-only. It contains the transformer and nothing else, so you still need a full <code>.safetensors</code> checkpoint in <code>checkpoint_path</code> to supply the video VAE, audio VAE, vocoder and text connectors. That is the single most common setup mistake with these files.<h2 id="files">Files</h2><ul><li><code>LTX23-echoVid-ltxAud-Surgical-DiT-Q8_0.gguf</code> — 23.1 GB, 0.36° angular deviation. The default. Take this unless VRAM forces otherwise — at 0.36° it is effectively indistinguishable from bf16 in output.</li><li><code>LTX23-echoVid-ltxAud-Surgical-DiT-Q5_0.gguf</code> — 15.5 GB, 2.82° deviation. For 16 GB cards. A visible but usually acceptable step down.</li><li><code>LTX23-echoVid-ltxAud-Surgical-DiT-Q4_0.gguf</code> — 13.0 GB, 7.1% spot error. 12–16 GB cards. The quality cost is visible; take it only if the others will not fit.</li></ul>“Deviation” is the angular change in what a layer actually outputs, measured against the unquantized bf16 weights — a more honest figure for a quant than file size alone.<h2 id="quick-fixes">Quick fixes</h2><ul><li>Errors about missing VAEs Why: a GGUF is DiT-only. Fix: put a full bf16 checkpoint in <code>checkpoint_path</code>. The GGUF goes in <code>model_file</code>.</li><li>Robotic voice, the model reading your prompt aloud, or a new face every shot Why: almost always missing <code>text_embedding_projection</code> tensors. Fix: check the tensor count — <code>print(int.from_bytes(open("f.gguf","rb").read(16)[8:],"little"))</code>. For a JoyAI-Echo DiT, 4448 is good and 4444 is missing the projection.</li><li>Lip sync breaks about 9.6 s into every shot Why: not the weights — the pack's video RoPE clock was hardcoded to 24 fps while audio runs in true seconds, so a 25 fps render drifts ~4%/s. Fix: apply the <a target="_blank" rel="ugc" href="https://github.com/jlucasmcrell/joyai-echo-multishot-patch">multishot patch</a> (Bug fix #0).</li></ul><h2 id="looking-for-something-else">Looking for something else?</h2><ul><li>Full <code>.safetensors</code> checkpoints (bf16 / fp8 / TALKINGHEAD) are in the base merge listing.</li><li>e50 — the reference-voice articulation rebuild — has its own listing with every format including its own GGUFs.</li><li>INT8 ConvRot has its own listing.</li></ul><h2 id="everything-else-i've-published">Everything else I've published</h2><ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/joeygambino">All models on Hugging Face</a></li><li><a target="_blank" rel="ugc" href="https://github.com/jlucasmcrell/joyai-echo-multishot-patch">JoyAI-Echo multishot patch</a> — nodes, releases, issues</li><li><a target="_blank" rel="ugc" href="https://github.com/jlucasmcrell/ltx23-multishot-lite">LTX-2.3 Multishot Lite</a> — the core-node workflow</li></ul>

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