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Initial Release of the Identity-Preserved Temporal Engine
Laufzeitprofil
Quellenbeschreibung
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.
KI-generierter Kommentar
KI-generierte Erklärung auf Grundlage von Quellen- und Konfigurationsdetails. Vorschläge sind klar gekennzeichnet.
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.
Vorschlag
The listing does not specify a license, so check the applicable usage terms before publishing outputs.
Vorschlag
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Quellen
1 QuelleQuellenauszüge
3 AuszügeSource 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.
Geschätzter VRAM Bedarf
Schätzung nicht verfügbar
2,43 GB über 3 von 4 Modell-Dateien. Gesamtmodell-Dateien + 25% Ladeaufwand + 2 GB Ausführungs-Puffer, aufgerundet.
Anforderungen
7 AnforderungenUpscaler · 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
Nicht aufgelöstVAE · Unknown
comfyui_ipadapter_plus
MöglichKnotenpaket · Registry
Knotenpaket · Registry
Source context: 82 downloads · Type Workflows · Base model SD 1.5
Source context: 81 downloads · Type Workflows · Base model SD 1.5
Knotenpaket · Registry
