Sharp control, perfect sync, super clear AI video creation.Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning — you still choose inputs, prompts, and settings.<h3 id="open-preloaded-workflow-on-runcomfy">Open preloaded workflow on RunComfy</h3><a target="_blank" rel="ugc" href="https://www.runcomfy.com/comfyui-workflows/ltx-2-controlnet-in-comfyui-depth-controlled-video-workflow?utm_source=civitai&amp;utm_medium=referral">Open preloaded workflow on RunComfy (browser)</a>Why RunComfy first - Fewer missing-node surprises — run the graph in a managed environment before you mirror it locally. - Quick GPU tryout — useful if your local VRAM or install time is the bottleneck. - Matches the published JSON — the zip follows the same runnable workflow you can open on RunComfy.When downloading for local ComfyUI makes sense — you want full control over models on disk, batch scripting, or offline runs.How to use (local ComfyUI) 1. Load inputs (images/video/audio) in the marked loader nodes. 2. Set prompts, resolution, and seeds; start with a short test run. 3. Export from the Save / Write nodes shown in the graph.Expectations — First run may pull large weights; cloud runs may require a free RunComfy account.<hr /><h3 id="overview">Overview</h3>This ControlNet-powered LTX-2 workflow enables highly accurate video generation guided by explicit structural conditions such as depth maps, canny edges, and human poses. By using ControlNet-style IC LoRA conditioning, it enforces strong spatial and motion constraints across all frames while generating synchronized audio and visuals in a unified latent space. The workflow supports text-to-video, image-to-video, and video-to-video pipelines, allowing creators to precisely control scene structure, movement, and continuity. Its two-stage architecture provides efficient upscaling and optimized memory usage, making it ideal for refined, controllable, and production-ready video synthesis.Important nodes:<h2 id="key-nodes-in-comfyui-ltx-2-controlnet-workflow">Key nodes in Comfyui LTX-2 ControlNet workflow</h2><ul><li><code>LTXVAddGuide</code> (#132)</li><li>Merges text conditioning and IC LoRA controls into the AV latent, acting as the heart of LTX-2 ControlNet guidance. Adjust only the few controls that matter: choose the control LoRA that matches your path (depth, canny, or pose) and, when available, the <code>image_strength</code> that tunes how tightly the model follows guides. Reference implementation and node behavior are provided by the LTXVideo extension. <a target="_blank" rel="ugc" href="https://github.com/Lightricks/ComfyUI-LTXVideo">Docs/Code</a></li><li><code>LTXVImgToVideoInplace</code> (#149, #155)</li><li>Injects a first-frame image into the AV latent for consistent scene initialization. Use <code>strength</code> to balance faithfulness to the first frame versus freedom to evolve; keep it lower for more motion and higher for tighter anchors. Bypass it when you want purely text- or control-driven openings. <a target="_blank" rel="ugc" href="https://github.com/Lightricks/ComfyUI-LTXVideo">Docs/Code</a></li><li><code>LTXVScheduler</code> (#95)</li><li>Drives the denoising trajectory for the unified latent so both audio and video converge together. Increase steps for complex scenes and fine detail; shorten for drafts and quick iteration. Schedule settings interact with guidance strength, so avoid extreme values when guidance is strong. <a target="_blank" rel="ugc" href="https://github.com/Lightricks/ComfyUI-LTXVideo">Docs/Code</a></li><li><code>LTXVLatentUpsampler</code> (#112)</li><li>Performs the second-stage latent upscaling with the LTX-2 x2 spatial upscaler, improving sharpness with minimal VRAM growth. Use it after the first pass rather than increasing base resolution to keep iterations responsive. <a target="_blank" rel="ugc" href="https://huggingface.co/Lightricks/LTX-2/resolve/main/ltx-2-spatial-upscaler-x2-1.0.safetensors">Upscaler model</a></li><li><code>DWPreprocessor</code> (#158)</li><li>Generates clean human pose keypoints for the pose-control path. Verify detections with the preview; if hands or small limbs are noisy, scale inputs to a moderate max dimension before preprocessing. Provided by the ControlNet auxiliary suite. <a target="_blank" rel="ugc" href="https://github.com/Fannovel16/comfyui_controlnet_aux">Repo</a></li></ul>…<h3 id="notes">Notes</h3>LTX-2 ControlNet in ComfyUI | Depth-Controlled Video Workflow — see <a target="_blank" rel="ugc" href="https://www.runcomfy.com/comfyui-workflows/ltx-2-controlnet-in-comfyui-depth-controlled-video-workflow?utm_source=civitai&amp;utm_medium=referral">RunComfy page</a> for the latest node requirements.

LTX-2 ControlNet in ComfyUI | Depth-Controlled Video Workflow

Initial release — LTX-2-ControlNet.

Files with SHA256: fdf7af6fd36d1e11aa9fac4f673a3afe3643a7858aa112b44a44fbb837d5e102