ComfyUI: Generating 3D motion from text prompts
ComfyUIDemo summary
Using the Hunyuan Motion 1.0 model in ComfyUI, a text prompt describing a person jumping between buildings is used to generate a specific 3D motion sequence.
All demos from “Hunyuan Motion 1.0 - This Free And Open Source AI Creates 3D Animation In Seconds!”
- 6:471:07Setting up Hunyuan Motion nodes in ComfyUIThe creator demonstrates how to add the 'load model' and 'motion generate' nodes in ComfyUI, connect them to a 3D preview node, and view a real-time skeleton animation of the generated motion.ComfyUI· AI Animation Generator
- 8:210:59Generating 3D motion from text promptsCurrentUsing the Hunyuan Motion 1.0 model in ComfyUI, a text prompt describing a person jumping between buildings is used to generate a specific 3D motion sequence.ComfyUI· AI Animation Generator
- 13:101:04Creating a character scene with DW Pose and Qwen2-VLThe creator shows how to extract a pose from the rendered motion using DW Pose and generate a descriptive caption using Qwen2-VL to prepare for final image generation.ComfyUI· AI Image Generator
- 15:352:08Final video generation with Wan 2.1The demonstration shows how to use the Wan 2.1 V2V model to combine the generated 3D motion and a reference character image into a final, high-quality AI video animation.ComfyUI· Video to Video
- Watch “Hunyuan Motion 1.0 - This Free And Open Source AI Creates 3D Animation In Seconds!” →
AI Animation Generator
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- 2:551:05Configure 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
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- 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
- 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
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
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
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- 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
- 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
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
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