--- title: "VisoMaster-Fusion vs face.evoLVe" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/visomasterfusion-visomaster-fusion-vs-zhaoj9014-face-evolve" tools: ["visomasterfusion-visomaster-fusion", "zhaoj9014-face-evolve"] --- # VisoMaster-Fusion vs face.evoLVe *GraphCanon updated Aug 23, 2026* ## Verdict Pick VisoMaster-Fusion if visoMaster-Fusion is designed to facilitate video face swapping and editing through AI processing, with enhanced performance on Nvidia GPUs; pick face.evoLVe if face.evoLVe offers a high-performance face recognition solution using both PaddlePaddle and PyTorch frameworks. [VisoMaster-Fusion](https://github.com/VisoMasterFusion/VisoMaster-Fusion) reports 859 GitHub stars, 170 forks, and 24 open issues, last pushed Jul 27, 2026. [face.evoLVe](https://github.com/ZhaoJ9014/face.evoLVe) has 3.6k stars, 760 forks, and 96 open issues, last pushed Mar 20, 2025. Figures are from public GitHub metadata via [VisoMaster-Fusion's repository](https://github.com/VisoMasterFusion/VisoMaster-Fusion) and [face.evoLVe's repository](https://github.com/ZhaoJ9014/face.evoLVe). | | [VisoMaster-Fusion](/tools/visomasterfusion-visomaster-fusion.md) | [face.evoLVe](/tools/zhaoj9014-face-evolve.md) | | --- | --- | --- | | Tagline | Powerful & Easy-to-Use Video Face Swapping and Editing Software | High-Performance Face Recognition Library on PaddlePaddle & PyTorch | | Stars | 859 | 3,589 | | Forks | 170 | 760 | | Open issues | 24 | 96 | | Language | Python | Python | | Adopt for | VisoMaster-Fusion is designed to facilitate video face swapping and editing through AI processing, with enhanced performance on Nvidia GPUs. | face.evoLVe offers a high-performance face recognition solution using both PaddlePaddle and PyTorch frameworks. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | MIT License allows free use and distribution with attribution. | | Categories | Computer Vision | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [VisoMaster-Fusion](/tools/visomasterfusion-visomaster-fusion.md) | [face.evoLVe](/tools/zhaoj9014-face-evolve.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 3d | 521d | | Open issues (now) | 24 | 96 | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/visomasterfusion-visomaster-fusion/trust.md) | [trust report](/tools/zhaoj9014-face-evolve/trust.md) | ## Decision facts: VisoMaster-Fusion - **Requirements:** System requirements include a Windows 10 or 11 64-bit OS, with an Nvidia GPU recommended for optimal performance.; Ensure you have at least 20-30 GB free disk space and internet access during the first run. - **Adopt for:** VisoMaster-Fusion is designed to facilitate video face swapping and editing through AI processing, with enhanced performance on Nvidia GPUs. ## Decision facts: face.evoLVe - **Adopt for:** face.evoLVe offers a high-performance face recognition solution using both PaddlePaddle and PyTorch frameworks. - **License detail:** MIT License allows free use and distribution with attribution. ## Choose when ### Choose VisoMaster-Fusion if… - License: VisoMaster-Fusion is GPL-3.0, face.evoLVe is MIT. - Requirements: System requirements include a Windows 10 or 11 64-bit OS, with an Nvidia GPU recommended for optimal performance.; Ensure you have at least 20-30 GB free disk space and internet access during the first run.. - Tags unique to VisoMaster-Fusion: ai, face-editor, faceswap, live-portrait. - You need advanced capabilities for video face-swapping and editing that can benefit from hardware acceleration via an Nvidia GPU. ### Choose face.evoLVe if… - License: face.evoLVe is MIT, VisoMaster-Fusion is GPL-3.0. - Tags unique to face.evoLVe: artificial-intelligence, convolutional-neural-network, data-augmentation, deep-learning. - Also covers Model Training. - Prefer this when developing applications that need integration with Tencent's PaddlePaddle framework. ## When NOT to use VisoMaster-Fusion - If your workflow does not involve significant use of video editing or face swapping, or if you prefer managing the setup process yourself without using the portable launcher. - When working in an environment with less than 8GB VRAM since VisoMaster-Fusion's performance is notably enhanced by higher VRAM configurations. ## When NOT to use face.evoLVe - Avoid using if your project only supports frameworks besides PaddlePaddle and PyTorch. - If the primary focus of your application is not related to face recognition tasks, this might be overkill. - Steer clear if you do not require advanced feature extraction methods or imbalanced learning support for face data. ## Common questions ### What is the difference between VisoMaster-Fusion and face.evoLVe? VisoMaster-Fusion: Powerful & Easy-to-Use Video Face Swapping and Editing Software. face.evoLVe: High-Performance Face Recognition Library on PaddlePaddle & PyTorch. See the comparison table for live GitHub stats and shared categories. ### When should I choose VisoMaster-Fusion over face.evoLVe? Choose VisoMaster-Fusion over face.evoLVe when License: VisoMaster-Fusion is GPL-3.0, face.evoLVe is MIT; Requirements: System requirements include a Windows 10 or 11 64-bit OS, with an Nvidia GPU recommended for optimal performance.; Ensure you have at least 20-30 GB free disk space and internet access during the first run.; Tags unique to VisoMaster-Fusion: ai, face-editor, faceswap, live-portrait; You need advanced capabilities for video face-swapping and editing that can benefit from hardware acceleration via an Nvidia GPU. ### When should I choose face.evoLVe over VisoMaster-Fusion? Choose face.evoLVe over VisoMaster-Fusion when License: face.evoLVe is MIT, VisoMaster-Fusion is GPL-3.0; Tags unique to face.evoLVe: artificial-intelligence, convolutional-neural-network, data-augmentation, deep-learning; Also covers Model Training; Prefer this when developing applications that need integration with Tencent's PaddlePaddle framework. ### When should I avoid VisoMaster-Fusion? If your workflow does not involve significant use of video editing or face swapping, or if you prefer managing the setup process yourself without using the portable launcher. When working in an environment with less than 8GB VRAM since VisoMaster-Fusion's performance is notably enhanced by higher VRAM configurations. ### When should I avoid face.evoLVe? Avoid using if your project only supports frameworks besides PaddlePaddle and PyTorch. If the primary focus of your application is not related to face recognition tasks, this might be overkill. Steer clear if you do not require advanced feature extraction methods or imbalanced learning support for face data. ### Is VisoMaster-Fusion or face.evoLVe more popular on GitHub? face.evoLVe has more GitHub stars (3,589 vs 859). Stars measure visibility, not whether either tool fits your constraints. ### Are VisoMaster-Fusion and face.evoLVe open source? Yes - both are open-source projects on GitHub (VisoMaster-Fusion: GPL-3.0, face.evoLVe: MIT). ### Where can I find alternatives to VisoMaster-Fusion or face.evoLVe? GraphCanon lists graph-backed alternatives at [VisoMaster-Fusion alternatives](/tools/visomasterfusion-visomaster-fusion/alternatives) and [face.evoLVe alternatives](/tools/zhaoj9014-face-evolve/alternatives) ([VisoMaster-Fusion markdown twin](/tools/visomasterfusion-visomaster-fusion/alternatives.md), [face.evoLVe markdown twin](/tools/zhaoj9014-face-evolve/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/visomasterfusion-visomaster-fusion-vs-zhaoj9014-face-evolve.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, VisoMaster-Fusion or face.evoLVe? VisoMaster-Fusion: Very active. face.evoLVe: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for VisoMaster-Fusion and face.evoLVe? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [VisoMaster-Fusion trust report](/tools/visomasterfusion-visomaster-fusion/trust); [face.evoLVe trust report](/tools/zhaoj9014-face-evolve/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=visomasterfusion-visomaster-fusion`](/api/graphcanon/graph?tool=visomasterfusion-visomaster-fusion) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_