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[Major Release] DeepAscension LAB is Live! Powered by the Next-Gen SAENXT Eng...

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本帖最后由 Cxsmo 于 2026-9-3 07:19 编辑



【RELEASE】DeepAscension LAB (SAENXT Engine)
Next-Gen PyTorch Architecture | Uncapped Progressive Resolution | Advanced XSeg & Obstruction Packs | Real-Time WebUI


Software NameDeepAscension LAB
Underlying FrameworkSAENXT (PyTorch Engine)
Supported ArchitecturesLIAE-UDT, DF-UDT, LIAE-SB, DF-SB
OptimizersMuon, AdaBelief, ACProp, RMSprop
Resolution ScalingUncapped Progressive (224 → 448 → 512 → 768 → 1024+)
InterfaceAll-in-One Desktop GUI + Web Browser UI
Official Websitehttps://deepascension.net


■ Release Overview
Hello AI creators, trainers, and researchers on dfldata.cc!

After extensive core rewrites and performance tuning, DeepAscension LAB is officially live, powered by the next-generation SAENXT PyTorch engine.

Whether you are training high-resolution portrait models or tuning lightweight models for live execution, this release provides faster loss convergence, cleaner edge boundaries, and full parameter control without command-line restrictions.




■ Technical Highlights & Key Features

1. Next-Gen Architectures & Modern Optimizers
Architecture Support: Full native integration for LIAE-UDT, DF-UDT, and high-efficiency lightweight LIAE-SB / DF-SB configurations.
Modern Optimizers: Native integration for Muon, AdaBelief, and ACProp, achieving significantly faster convergence and eliminating high-frequency distortion around eyes, teeth, and skin pores.
Uncapped Progressive Resolution Scaling: Smoothly upgrade models across any resolution jump (224 → 448, 512, 768, 1024, and beyond). Scale existing models without restarting from scratch to maximize VRAM efficiency and output resolution.

2. Best-in-Class Occlusion Handling & Object Obstruction Packs
Curated Obstruction Training Packs: Pre-packaged, specialized obstruction datasets built to train models through difficult real-world interference (hands, microphones, glasses, eating/drinking, and dynamic occlusions).
Precise XSeg Masking Pipeline: High-precision segmentation prevents face-tearing and mask boundary artifacts, maintaining clean face-to-background transitions even during extreme angles and partial obstructions.

3. All-in-One Desktop GUI + Remote WebUI
Unified Control: Replaces command-line windows with a responsive interface. Monitor loss curves, inspect iteration previews, and fine-tune parameters on the fly.
WebUI Accessibility: Monitor and manage active training runs directly from your local browser or local network.
150+ Toolset Enhancements: Automated dataset filtering, intelligent color matching, advanced mask refinement, and high-frequency noise reduction.

4. Commercial Live Suite: DeepAscensionLive (Coming Soon)
• High-FPS, low-latency live broadcasting suite currently in active development.
• Future access to proprietary NXT-GIP and NXT-MGIP training pipelines engineered for professional creators.




■ Demos, Previews & Project Gallery
Project Gallery & Previews: https://deepascension.net/en/projects
Documentation & Setup Guides: https://deepascension.net




■ Download & Community Links

Official Website & Downloads:
https://deepascension.net

Models, Facesets & Projects Page:
https://deepascension.net/en/projects

Official Community Discord:
https://discord.gg/njSKPUQtFa


Share your training benchmarks, hardware setups, and model results in the replies below!
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