demobook

Overview of the TensNodes Consistent Character Workflow in ComfyUI

Demo summary

The creator walks through a four-stage ComfyUI workflow utilizing TensNodes to process reference images and text for stable LTX video generation.

Step-by-step

  1. Set basic parameters including video resolution and first frame in Stage 1
  2. Enter the text prompt and load essential system models
  3. Encode reference images and text into latent space using TensNodes in Stage 2
  4. Generate the initial video at a lower resolution in Stage 3 to lock in motion stability
  5. Run the video through an upscaler in Stage 4 to achieve high-definition quality
  6. Save the final video output

Watch out for

  • Requires the TensNodes custom node suite for Stage 2 processing

Tips

  • Generate the initial video at a lower resolution first to ensure smooth, stable motion before upscaling
  • Watch the creator's previous deep-dive video to understand how to build each stage from scratch if you are unfamiliar with the basics

Highlights

so you can easily visualize and completely master this workflow

All demos from “Consistent Character in LTX 2.3 ComfyUI: STOP Losing Your Character's Face Between Scenes

  1. 4:261:28Overview of the TensNodes Consistent Character Workflow in ComfyUICurrentThe creator walks through a four-stage ComfyUI workflow utilizing TensNodes to process reference images and text for stable LTX video generation.ComfyUIAI Animation Generator
  2. 5:541:04Configuring the Latent Anchor Aware NodeThe demonstration shows how to adjust the strength, cache at step, and similarity threshold parameters of the Latent Anchor Aware node to prevent background and detail morphing.ComfyUIAI Image Generator
  3. 6:581:02Setting up Likeness Guide and Likeness Anchor NodesThe video shows the Likeness Guide node detecting a face from a reference photo and the Likeness Anchor node locking the facial region to maintain identity during expressions.ComfyUIAI Avatar Generator
  4. 8:392:29Comparing LTX 2.3 Vanilla vs. TensNodes for Facial ExpressionsA side-by-side demonstration shows the TensNodes workflow maintaining a consistent facial structure during a smile and wave, whereas the vanilla LTX model drifts from the reference image.ComfyUIVideo to Video
  5. Watch “Consistent Character in LTX 2.3 ComfyUI: STOP Losing Your Character's Face Between Scenes” →

AI Animation Generator

  1. 2:070:23Load Wan 2.2 Animate workflow and install nodesThe user demonstrates how to drag and drop the Wan 2.2 Animate workflow into ComfyUI and use the Manager to install missing custom nodes.MDMZ
  2. 2:551:05Configure video input and output settingsThe demo shows how to upload a source video to ComfyUI, set the frame count, and adjust the output dimensions to match the original aspect ratio.MDMZ
  3. 16:361:56Setting up HunyuanVideo 1.5 in ComfyUIThe video demonstrates how to update ComfyUI and import the HunyuanVideo 1.5 JSON workflow files to create a node-based generation environment.AI Search
  4. 20:151:53Text-to-Video generation in ComfyUIA step-by-step demo of configuring the Hunyuan nodes in ComfyUI, entering a prompt for a 'giant cat', and rendering the final 720p video.AI Search
  5. 29:151:33Running HunyuanVideo with GGUF (Low VRAM)The video shows how to use the GGUF loader node to run a compressed version of HunyuanVideo 1.5, enabling video generation on GPUs with as little as 6GB of VRAM.AI Search
  6. 0:594:52Configure LTX 2.3 in ComfyUIThe creator walks through the ComfyUI node setup for LTX 2.3, explaining the GGUF model loader, VAE settings, and how to adjust resolution and frame counts for optimal rendering.AIKnowledge2Go
  7. 1:230:41Setting up LTX-2.3 in ComfyUIThe creator demonstrates how to browse templates in ComfyUI, search for LTX 2.3, and download the required missing models for the text-to-video workflow.MDMZ
  8. 13:071:21Applying LoRA to Wan 2.2 video generationThe video shows how to integrate a LoRA (Low-Rank Adaptation) into a Wan 2.2 workflow to achieve specific cinematic movements like a face zoom.pixaroma
  9. 31:133:44Text-to-video with LTX-2The video walks through setting up the LTX-2 model in ComfyUI to generate high-resolution video clips from text prompts and images.pixaroma
  10. 39:075:27Cloud-based ComfyUI on RunPod/RunHubThe video shows how to run complex video workflows in the cloud using RunHub AI, demonstrating the interface and execution of InfiniteTalk and Wan 2.2 without local hardware.pixaroma
  11. 2:351:46Configure Infinite Talk models in ComfyUIThe creator demonstrates how to organize the necessary models within the ComfyUI workflow, including the Lightning LoRA, quantized Infinite Talk UNET models, and the Wan 2.1 VAE and Clip Vision nodes.Aiconomist
  12. 11:060:26Combining audio, images, and promptsA demonstration of layering a specific action prompt (patting stomach) over a specific audio timestamp to create a fully directed AI scene.What Dreams Cost