<h3 id="this-workflow-is-an-adaptation-of-the-one-shared-by-@tenstrip-the-creator-of-ltx2.3-10eros.-i-want-to-express-my-sincere-gratitude-to-them-for-releasing-such-an-incredible-checkpoint-and-workflow!">This workflow is an adaptation of the one shared by @tenstrip, the creator of Ltx2.3 10Eros. I want to express my sincere gratitude to them for releasing such an incredible checkpoint and workflow!</h3>When I first tried the official Ltx2.3, I wasn’t very impressed. However, I’ve found that using this 10Eros checkpoint and workflow allows you to maintain facial consistency remarkably well. While the character movement might feel a bit less dynamic compared to wan2.2, in my experience, it’s actually a huge step up from wan2.2's SVI. Plus, it generates video with audio, features faster generation times, and supports video lengths up to 20 seconds. Because of all this, I’ve decided to officially dive headfirst into generating with Ltx2.3!That being said, even a tiny change in settings can completely alter the results. What I’m sharing below is simply the specific configuration that happened to work for me this time. I haven't actually tested LTX 2.3 extensively yet. I'm putting this workflow out there in hopes that the community can test it, play around with it, and help improve it further.Just a heads-up: I am by no means an AI generation expert. Everything here is the result of pure trial and error, based on hands-on testing and digging through a ton of community information. Because of that, I won't be able to answer highly technical questions. I really only know what I’ve personally experienced. While I have some experience with WAN 2.2, I’m still a complete novice when it comes to LTX 2.3. If you run into issues, I'd highly appreciate it if you could troubleshoot them on your own.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b0e16324-80f7-4c26-a951-1e7de0709a61/original=true/b0e16324-80f7-4c26-a951-1e7de0709a61.jpeg" /><h3 id="reference-workflow">【Reference Workflow】</h3>10Eros_10SNodes_LikenessGuideHelper_I2V_v3.2.json<a target="_blank" rel="ugc" href="https://huggingface.co/TenStrip/LTX2.3-10Eros_Workflows/tree/main">https://huggingface.co/TenStrip/LTX2.3-10Eros_Workflows/tree/main</a><h3 id="10s-comfy-nodes">【10S-Comfy-nodes】</h3><a target="_blank" rel="ugc" href="https://github.com/TenStrip/10S-Comfy-nodes">https://github.com/TenStrip/10S-Comfy-nodes</a>In addition to this node, several other nodes may not be installable due to ComfyUI Manager's security level. In that case, please lower the security level of ComfyUI Manager or obtain it from GitHub.<h3 id="the-safetensors-model-required-for-this-workflow">●The safetensors model required for this workflow</h3><h3 id="checkpoint-(vae-included)">【Checkpoint (VAE included)】</h3><h3 id="10eros_v1-fp8mixed_learned.safetensors">10Eros_v1-fp8mixed_learned.safetensors</h3><a target="_blank" rel="ugc" href="https://huggingface.co/TenStrip/LTX2.3-10Eros/tree/main">https://huggingface.co/TenStrip/LTX2.3-10Eros/tree/main</a><h3 id="text-encoder">【Text Encoder】</h3>Gemma_3_12B_it_fp8_scaled.safetensors<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encoders">https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encoders</a><h3 id="upscaler(be-sure-to-select-&quot;1.1&quot;.-&quot;1.0&quot;-has-a-bug.)">【Upscaler】(Be sure to select "1.1". "1.0" has a bug.)</h3>Ltx-2.3-spatial-upscaler-x2-1.1.safetensors<a target="_blank" rel="ugc" href="https://huggingface.co/Lightricks/LTX-2.3/tree/main">https://huggingface.co/Lightricks/LTX-2.3/tree/main</a><h3 id="distilled-lora">【Distilled Lora】</h3><h3 id="ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors">Ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors</h3><a target="_blank" rel="ugc" href="https://huggingface.co/TenStrip/LTX2.3_Distilled_Lora_1.1_Experiments/tree/main">https://huggingface.co/TenStrip/LTX2.3_Distilled_Lora_1.1_Experiments/tree/main</a><h3 id="omninft-lora">【OmniNFT Lora】</h3>OmniNFT_converted_lora.safetensors<a target="_blank" rel="ugc" href="https://huggingface.co/VasiliyWeb/OmniNFT_ComfyUI/tree/main">https://huggingface.co/VasiliyWeb/OmniNFT_ComfyUI/tree/main</a><h3 id="edit-anything-lora">【Edit Anything Lora】</h3>Ltx23_edit_anything_global_rank128_v1_9000steps_adamw.safetensors<a target="_blank" rel="ugc" href="https://huggingface.co/Alissonerdx/LTX-LoRAs/tree/main">https://huggingface.co/Alissonerdx/LTX-LoRAs/tree/main</a>Even when using the fp8 model, downloading all the necessary files will exceed 40GB. Because of this, you will likely encounter an Out of Memory error unless you have at least 64GB of system RAM. In fact, I hit OOM errors myself depending on the resolution and video length I tried.Quick Tips:<ul><li>Resolution Matters: Unlike wan2.2, Ltx2.3 struggles to maintain facial consistency if the reference image resolution is too high. In my tests, 720p to 1080p yielded the best results, whereas 1440p (2K) didn't work well.</li><li>Be Specific with Prompts: Your prompt descriptions need to be much more detailed than what you'd use for wan2.2. While audio is obviously a requirement, the model tends to completely ignore anything not explicitly written in the prompt, making it less flexible. Vague instructions won't cut it here. @tenstrip has put together a great summary on this, so I highly recommend checking out their guide for more details!</li><li>Troubleshooting Node Errors: In recent versions of ComfyUI, you might run into occasional node bugs. For instance, even core nodes like "Load Image" can sometimes show up with a red border and be marked as "Missing." In this workflow, you might encounter a persistent red-border error with nodes like "LTX2 LoRA Loader Advanced," even after you've installed them. If this happens, please delete the error-producing node and simply recreate/reconnect it manually. Replaced nodes should function properly and resolve the issue.</li></ul>

Ltx2.3 10Eros Likeness Workflow Kenpechi

v1.0 - This workflow is an adaptation of @tenstrip's workflow. Maintaining facial consistency is the top priority.

Files with SHA256: 9870ab277631d08c4968a661b53fa6943ebf461fbe07413cae014428fa935bbf