Pulid
PuLID is an AI tool that lets you swap faces in images easily. PuLID, short for "Pure and Lightning ID Customization," focuses on keeping faces realistic.
Overview
PuLID is an AI tool that lets you swap faces in images easily, no tech know-how needed. Made by ByteDance—the same people behind TikTok—this tool focuses on keeping swapped faces natural and realistic.
What’s cool? PuLID works without tricky setup or training. You just pick your images, and it handles the rest. It's great for artists, designers, or anyone wanting quick edits with pro-level results.
PuLID, short for "Pure and Lightning ID Customization," focuses on keeping faces realistic. It even syncs up with FLUX.1-dev.
This makes it super handy for portraits, comics, and even video projects.
The best part? PuLID is totally free. You can download it and use all its features without spending a dime. There's also a ComfyUI wrapper.
Tags
Freeware Apache License 2.0 PC-based #Image & GraphicsLinks
This tool is free to use when installed locally and is offered under Apache License 2.0.
PuLID’s face-swapping abilities are being widely discussed on platforms like Reddit, particularly in the context of its integration with ComfyUI and FLUX models. The tool shines for some users, while others report challenges or preferences for alternative methods.
Positive Feedback:
- Users highlight PuLID’s ability to maintain realism in face-swapping when paired with FLUX.
- Its adaptability across different art styles, including realistic and painted looks, stands out.
- Performance improvements with certain hardware setups (e.g., RTX 4090) and models like fp8 are applauded.
- Advanced workflows like Latent Vision and integration with GGUF models received praise for flexibility.
Criticism & Challenges:
- Some report poor results compared to alternatives like InstantID, citing issues with maintaining unique facial details.
- Installation issues, model mismatches, and inconsistent performance across setups frustrate users.
- Specific workflows and node compatibility (e.g., GGUF loaders) cause confusion for many.
Tips from the Community:
- Using upscalers, tweaking weights, and specific configurations like CFGguider improves output quality.
- Switching to optimized versions like fp8 models for faster processing times has been effective.
- Balancing cosine and distance measures in analysis can yield better results.
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Useful Links
No additional links available for this tool.
This page was last updated on May 10, 2025 at 6:53 PM