Thanks everyone for the Buzz ⚡ the feedback 😊 and for sharing your creations 🎬
Switch to CivitAI.red to see all the example results and explore everything this workflow can do 😏
⚠️ JUN 22 2026 HOTFIX
Patched the LTX Director pipeline to make it compatible with the new node version.
This is a hot-fix to make the new version of the LTX Director work with this workflow, so not all the new features are available or tested. Ignore the IC-LoRA track; if you want to use ControlNet, use the group specially dedicated for that purpose. The video editing, extension and retake, and the audio inpainting features are not tested at all, so skip those for now, unless you want to experiment with them of course ;) but I can't guarantee they will work properly, or what effect those features will have on the rest of the workflow. The workflow works exactly the same as the previous version and all the features are available; it is only the new LTX Director features that are not fully tested yet. Two LTX Director workflows are available in the zip file so you can choose the one compatible with your current setup, one for the old version (v1.3) and one for the new one (v2).
⚠️ Warning: Although this is not an especially advanced workflow, it is also not beginner-friendly. It uses custom nodes and, depending on the setup, may require basic knowledge of Python dependency management, virtual environments, the ComfyUI file system, and troubleshooting.
If you are unfamiliar with these topics, please make a backup of your ComfyUI setup before installing new nodes or updating ComfyUI.
For beginners, I generally recommend using the portable version, as it is easier to maintain and back up.
It is also important to have a solid understanding of how to properly use and prompt the LTX2.3 model, including concepts such as guidance strengths, valid resolutions, reference image quality, and related settings. This is especially important when using the 10Eros model, as it is significantly less forgiving than the original model.
⚠️ This workflow is built with the standard ComfUI layout system in mind, Nodes 2.0 will mess up the size of the nodes and front end functions like the bypasser switches, we are all grown ups here, let the kids play with toys 🤭
Currently 3 types of models are supported:
Standard LTX 2.3 distilled
LTX 2.3 distilled GGUF
10Eros (v1 and 1.2)
💡 The models are self-contained. You can safely delete the entire group of whichever model you don't use without breaking the workflow. The remaining model groups will work independently without any additional changes needed.
💡 Three workflow versions are included in the zip file:
LTX23Legacy.json -> Legacy version for those whom like things "hands on" (No LTX Director node)
LTX23LTXDirector13.json -> Same features, but using LTX Director node v1.3.
LTX23LTXDirector2.json -> Same features, but using the new LTX Director node v2.
⚠️ COMFYUI SECURITY ERROR FIX: At the end of this post.
🎬 This is a total revamp of the original workflow with the same features, but using LTX Director.
You can find the author's tutorial here.
This workflow is a modular and flexible text/image/audio-to-video generation system built in ComfyUI, designed to give full control over video creation using LTX-based models. It allows you to easily mix and match multiple generation modes such as text-to-video, image-to-video, lipsync, and fully guided animation by enabling or disabling grouped nodes.
📝 Personal notes:
The 10Eros model is better for NSFW content, whereas the standard model is better for SFW generations, although the body movement of the 10Eros model can be beneficial in some cases for SFW content too, but in general, use each model as I just said.
Try to always use 2 phase sampling generations (Half res + 2x upscaler), this yields the best quality and character consistency, LTX is not good at all at preserving character ID, so don't make it worse by doing a single pass generation. The upscaler model adds extra detail and improves character consistency, that's why I recommend using it.
However, using half res on resolutions under 480p will generate bad quality videos since, at that point, you would be creating a first pass video so small that the upscaler won't have much details to work with. So for 480p and below, one single pass video generation is the way to go. On an RTX 4090, you can generate 1440p short videos using half res + upscaler, however, I think the sweet spot between quality and speed is at 720p.Don't use the detailer when generating "Amateur look" videos, it adds a light layer of detail to the final result, and most of the time it will look too "polished" for a real amateur recording; amateur style videos look more real when they look low quality.
Main features
LTX Director support
GGUF support
SFW / NSFW support
NSFW prompt enhancer
Text, image, audio, and ControlNet-driven video generation
LoRA support (character, style, and voice via ID LoRA)
Custom or AI-generated audio with automatic syncing
Reference image + unlimited keyframes (FFLF animation control)
ControlNet video guidance with hybrid reference support
Half-res sampling + 2× upscaling for faster high-quality results
LTX detailer for enhanced final output
Nvidia Video Super Resolution upscaler
RIFE VFI Interpolation
Common Setups
Text to video:
Timeline text segment.
Image to video:
Add an image segment to LTX Director, extend it to fill your video duration and input a segment prompt for that segment.
Lipsync:
Add an image segment to LTX Director, extend it to fill your video duration, input a segment prompt for that segment and add the audio file to the timeline. Enable custom audio in LTX director.
Audio to video:
Add a text segment to LTX Director, extend it to fill your video duration, input a segment prompt for that segment and add the audio file. Enable custom audio in LTX director.
Character LoRA + voice reference:
Add a text segment to LTX Director, extend it to fill your video duration and input a segment prompt for that segment. Add your character LoRA to the power LoRA loader, then activate ID LoRA and load a voice reference
Voice reference to video:
Add a text segment to LTX Director, extend it to fill your video duration and input a segment prompt for that segment. Activate ID LoRA and load a voice reference
Character animation:
Add an image segment to LTX Director, extend it to fill your video duration and input a segment prompt for that segment. Enable controlnet.First frame → last frame:
Add two image segments to LTX Director, and shrink the second image segment (last frame), add your prompt in the first image segment and in the second image prompt write "."First → middle → last frame:
Same thing as for FFLF, but adding an image segment in the middle and its corresponding prompt.Character animation with custom voice:
Image segment + ID LoRA + ControlNet
COMFYUI SECURITY ERROR FIX
If you hit a security level error while trying to install some custom nodes from ComfyUI manager:
You need to temporarily change the security level in your config.ini file.
If you are using the portable version, the file is located at:
ComfyUI/user/__manager/config.iniChange the value to:
security_level = weak
IMPORTANT:
Do NOT forget to restore it back to its original value, you should restore it afterward for safety reasons.
Perform a hard restart of ComfyUI (completely stop it, then start it again).
Install the custom node(s) using ComfyUI manager and double-check that it is the official one.
Restart ComfyUI and check if the node(s) work(s) properly.
Once everything is working properly, restore your original security level in the config.ini file and restart ComfyUI one final time.
Detailed instructions are contained in the workflow itself:
Red nodes are instructions and useful notes.
Yellow nodes are configurable elements you can adjust to your needs.
LTX DIRECTOR VERSION 1.3
LTX DIRECTOR VERSION 2
LEGACY VERSION
Custom node pack list
LTX Director workflows
Legacy workflow
Description
Added 10Eros model support.
Added NSFW prompt enhancer support.
Added a model mode option for the upscaler sampler. Now the users can choose from upscaling using the base model or guide the upscaler including the loaded LoRAs.
FAQ
Comments (6)
really nice WF. im enjoying testing it out and it works well. when doing i2v sometimes it looses face consistency pretty quickly; wondering if there are any specific nodes that i might decrease strength to decrease changes to the original face?
As I explain in the post, this is a common issue of the LTX model, to attack that inconsistency I recommend using a reference image strength of 0.9 and in conjunction with half res + 2x upscaler, and if possible, use keyframes to lock the face identity; what works for me is, if the scene in the video won't change too much, I use the same image as first and last frames, this forces the model to keep the face consistent, although is not perfect, it improves character consistency, and if possible, using different keyframes depending on your video will also increase consistency since you force the model to render specific images in the middle of the video (the keyframes). To create more keyframes from a base image, you can use the next scene qwen edit LoRA or your prefered online AI platform.
i could really use some help. i have spent over 100 hours trying to learn this stuff. im using comfyui.
This workflow cooks! I have started to use it exclusively for my youtube videos. It just does it all. Thank you so much for your contribution!
Glad to hear it ;)
"I thought the missing links between nodes in the downloaded workflow file were some kind of gate the author set on purpose, because their reply said that using this workflow requires some troubleshooting skills. I spent forever connecting the nodes by following the example image — gotta say, it did help me understand the workflow better, but some problems still leave me clueless. For example, when doing i2v, I get things like
'TypeError: CFGGuider.execute() missing 1 required positional argument: 'model'' and 'graph.DependencyCycleError: Dependency cycle detected'.I feel like these issues are caused by incorrect node connections. And there are just too many models using SET and GET nodes — MODEL_BASE, MODEL_EXTENDED, EROS_SAMPLING_MODEL, MODEL_LORA, MODEL_FULL, etc. All of this confuses me a lot. It'd be awesome if you could make a tutorial explaining the different connection methods and how to distinguish between things like Standard LTX 2.3 distilled, LTX 2.3 distilled GGUF, and 10Eros, so we can avoid mixing them up."
我以为下载到的工作流文件里节点之间缺少链接是作者设置的门槛呢，因为作者的回复说用使用这个工作流需要有一定排查问题的能力，我用了很久很久才照着示例图片把节点连接好，不得不说这也帮我更了解此工作流，但是有些问题依旧没头绪，比如i2v的时候会显示
TypeError: CFGGuider.execute() missing 1 required positional argument: 'model'
graph.DependencyCycleError: Dependency cycle detected
这些问题我觉得都是因为节点连接有误造成的，而使用SET、GET节点的模型太多了，MODEL_BASE、MODEL_EXTENDED、EROS_SAMPLING_MODEL、MODEL_LORA、MODEL_FULL等等，这些都让我困惑，如果可以出一期讲解就好了，内容就是把Standard LTX 2.3 distilled、LTX 2.3 distilled GGUF、10Eros不同的链接方式与判断理清避免混淆