# PuLID ComfyUI

[PuLID](https://github.com/ToTheBeginning/PuLID) ComfyUI native implementation.

![basic workflow](examples/pulid_wf.jpg)

## Important updates

- **2024.05.12:** Added attention masking and the Advanced node, allows fine tuning of the generation.

## Notes

The code can be considered beta, things may change in the coming days. In the `examples` directory you'll find some basic workflows.

The original implementation makes use of a [4-step lighting UNet](https://huggingface.co/ByteDance/SDXL-Lightning). I made a few comparisons with the official Gradio demo using the same model in ComfyUI and I can't see any noticeable difference, meaning that this code should be faithful to the orignal. The Lightning lora doesn't work as well.

Testing other models though I noticed some quality degradation. You may need to experiment with CFG and various samplers/schedulers (try `sgm_uniform`).

**The quality of the reference image is very important**. Maybe this is because of the Eva CLIP that gets more details. Be sure to use a clean and sharp picture!

**For IPAdapter compatibility you need to update the IPAdapter extension!**

## The 'method' parameter

`method` applies the weights in different ways. `Fidelity` is closer to the reference ID, `Style` leaves more freedom to the checkpoint. Sometimes the difference is minimal. I've added `neutral` that doesn't do any normalization, if you use this option with the standard Apply node be sure to lower the weight. With the Advanced node you can simply increase the `fidelity` value.

The Advanced node has a `fidelity` slider and a `projection` option. `ortho_v2` with `fidelity: 8` is the same as `fidelity` method in the standard node. Projection `ortho` and `fidelity: 16` is the same as method `style`.

**Lower `fidelity` values grant higher resemblance to the reference image.**

## Installation

- [PuLID pre-trained model](https://huggingface.co/huchenlei/ipadapter_pulid/resolve/main/ip-adapter_pulid_sdxl_fp16.safetensors?download=true) goes in `ComfyUI/models/pulid/` (thanks to [Chenlei Hu](https://github.com/huchenlei) for converting them into IPAdapter format)
- The EVA CLIP is EVA02-CLIP-L-14-336, but should be downloaded automatically (will be located in the huggingface directory).
- `facexlib` dependency needs to be installed, the models are downloaded at first use
- Finally you need InsightFace with [AntelopeV2](https://huggingface.co/MonsterMMORPG/tools/tree/main), the unzipped models should be placed in `ComfyUI/models/insightface/models/antelopev2`.