Keeps every character consistent across complex video scenes.

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.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

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.

Overview

This workflow empowers you to generate videos with several recurring subjects while maintaining their distinct identities and visual coherence. It allows for accurate facial consistency, clothing details, and spatial realism across complex scenes. You can easily direct multi-character sequences or storytelling clips without losing visual fidelity. Designed for creators who want stable identity control across multiple references. It improves workflow efficiency for character continuity and multi-person animation creation.

Important nodes:

Key nodes in Comfyui LTX 2.3 MSR workflow

LiconMSR (#28)

Assembles 1–4 subject references plus a background into a single MSR guide. Set width and height to match your target canvas so the composed guide and final frames align. If you see identity drift, revisit the input references or increase how prominently the key subjects appear in their source images.

LTXVAddGuideMulti (#108)

Combines multiple guidance images with your prompts to form the initial video latent. Use it to prioritize which references dominate the scene by slightly favoring hero subjects. Keep background guidance active for stable environments and fewer scene jumps.

LTXAddVideoICLoRAGuide (#9)

Injects the image‑conditioned MSR LoRA using the composed MSR image. Increase strength to tighten identity preservation for faces, attire, or props; reduce it if motion feels too constrained. Crop choices should reflect where subjects appear most often in the frame.

CFGGuider (#37)

Controls how strongly the sampler follows your prompts. Higher cfg improves adherence to textual intent but can reduce variety; moderate values keep a natural look while honoring the MSR guidance.

SamplerCustomAdvanced (#16)

Runs the denoising process using your chosen sampler, sigmas, and noise seed. Euler or DPM‑style samplers work well with LTX‑2.3; explore seeds for alternates while keeping the same references to retain identity.

VHS_VideoCombine (#96)

Builds the final MP4 with optional audio. Match frame_rate to the conditioning stage and set a clear filename_prefix for versioning. Use this node’s preview to review pacing and identity consistency before sharing.

Notes

LTX 2.3 MSR Workflow in ComfyUI | Multi-Subject Identity Video - see RunComfy page for the latest node requirements.