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Initial Release of the Identity-Preserved Temporal Engine
Runtime profile
Source description
Professional AI Pipeline: Identity-Preserved Temporal Animation
This is a custom ComfyUI workflow engineered for high-end digital character creation. It provides a robust solution for the "identity drift" problem in AI video, ensuring 100% facial consistency across dynamic frames.
Technical Architecture & Features:
Neural Identity Mapping : Implements a precise identity-locking mechanism using IPAdapter Plus to maintain the user's unique facial features.
Temporal Coherence Engine : Utilizes a customized AnimateDiff-Evolved setup to generate fluid, flicker-free movement.
Modular Phase Design : The workflow is logically structured into three distinct phases—Data Ingestion, Motion Synthesis, and High-Res Refinement—allowing for granular control over the output.
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
Use this ComfyUI workflow to animate portrait photography into character video sequences, using IPAdapter Plus for facial identity and AnimateDiff-Evolved for motion.
The workflow is organized into Data Ingestion, Motion Synthesis, and High-Res Refinement.
The listing describes H.264/MP4 video sequences as the output.
The listed model files are 4x-UltraSharp.pth, control_v11p_sd15_canny_fp16.safetensors, mm_sd_v15_v2.ckpt, and realisticVisionV60B1_v51HyperVAE.safetensors.
ComfyUI-AnimateDiff-Evolved and ComfyUI-VideoHelperSuite are listed as required node packs; comfyui_ipadapter_plus is also listed.
SD 1.5 is the listed base model.
Before setting it up, check that the listed model files are available and confirm which installed package supplies comfyui_ipadapter_plus.
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The listing does not specify a license, so check the applicable usage terms before publishing outputs.
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Sources
1 sourceSource excerpts
3 excerptsSource context: 100 downloads · Type Workflows · Base model SD 1.5
Production-Ready Output : Optimized for generating high-fidelity video sequences (H.264/MP4) suitable for professional digital portfolios.
Developer's Note: This project serves as a technical demonstration of advanced AI pipeline integration, focusing on the intersection of portrait photography and temporal neural synthesis.
Estimated VRAM requirement
Estimate unavailable
2.43 GB across 3 of 4 model files. Model file total + 25% loading overhead + 2 GB execution buffer, rounded up.
Requirements
7 requirementsUpscaler · 63.9 MB · Hugging Face · Kim2091/UltraSharp
ControlNet · 689 MB · Hugging Face · comfyanonymous/ControlNet-v1-1_fp16_safetensors
Checkpoint · 1.69 GB · Hugging Face · guoyww/animatediff
realisticVisionV60B1_v51HyperVAE.safetensors
Not resolvedVAE · Unknown
comfyui_ipadapter_plus
PossibleNode pack · Registry
Node pack · Registry
Source context: 82 downloads · Type Workflows · Base model SD 1.5
Source context: 81 downloads · Type Workflows · Base model SD 1.5
Node pack · Registry
