Update README.md
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* The project also uses the following open-source projects:[MS-Diffusion](https://github.com/MS-Diffusion/MS-Diffusion),[StoryMaker](https://github.com/RedAIGC/StoryMaker),[consistory](https://github.com/NVlabs/consistory),[kolor](https://github.com/Kwai-Kolors/Kolors),[pulid](https://github.com/ToTheBeginning/PuLID),[flux](https://github.com/black-forest-labs/flux),[photomaker](https://github.com/TencentARC/PhotoMaker),[IP-Adapter](https://github.com/tencent-ailab/IP-Adapter)
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## Updates:
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**2024/11/27**
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* change some ms-diffusion'codes,if you use "[A] a (man) img " in role prompts,will get better of MS mode.
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**2025/03/25**
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* add InfiniteYou function from [here](https://github.com/bytedance/InfiniteYou)
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## Function introduction
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**story-diffusion**
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@@ -36,7 +36,11 @@
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**Flux and PULID-FLUX**
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* Flux supports img2img and txt2img, and supports FP8 and NF4 (recommended) quantization models;To enable it, enter the local path of flux diffuser in 'repo_id' and select the corresponding model in 'ckpt-name';example fill "X:/xxx/xxx/black-forest-labs/FLUX.1-dev";
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* PULID-FLUX needs to connect to the dual clip nodes of comfy in clip, and select 'EVA02_CLIP_L_336_psz14_s6B.pt ' in clip-vision, Select a Flux FP8('Kijai/flux-fp8' and "Shakker-Labs/AWPortrait-FL") model (with flux in the name),'ae.safetensors' in vae menu, fill in 'pulid, fp8' in 'easy-function' ;The accompanying 'insightface' model will be automatically downloaded;
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* PULID-FLUX needs to connect to the dual clip nodes of comfy in clip, and select 'EVA02_CLIP_L_336_psz14_s6B.pt ' in clip-vision, Select a Flux FP8('Kijai/flux-fp8' and "Shakker-Labs/AWPortrait-FL") model (with flux in the name),'ae.safetensors' in vae menu, fill in 'pulid, fp8' in 'easy-function' ;The accompanying 'insightface' model will be automatically downloaded;
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**InfiniteYou**
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* InfiniteYou only support img2img,download checkpoints from [here](https://huggingface.co/ByteDance/InfiniteYou),need link Easyfunction_lite,and fill in repo
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* only support repo mode now,default type is nf4 (if use fp16,need VRAM 40G)
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1.Installation
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-----
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@@ -259,8 +263,46 @@ RMBG-1.4 from [link](https://huggingface.co/briaai/RMBG-1.4/tree/main)#自动
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| ├── genderage.onnx
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| ├── w600k_r50.onnx
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```
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**3.6 if using InfiniteYou**
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* 3.6.1 flux-dev repo frome [here](https://huggingface.co/black-forest-labs/FLUX.1-dev)
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* 3.6.2 infinite controlnet from [here ](https://huggingface.co/ByteDance/InfiniteYou) ,you can use sim_stage1 or aes_stage2
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```
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├── any_path/sim_stage1/
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| ├── image_proj_model.bin
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| ├── InfuseNetModel/
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| ├── diffusion_pytorch_model-00001-of-00002.safetensors
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| ├── diffusion_pytorch_model-00002-of-00002.safetensors
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| ├── diffusion_pytorch_model.safetensors.index.json
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| ├── config.json
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```
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or
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```
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├── any_path/aes_stage2/
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| ├── image_proj_model.bin
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| ├── InfuseNetModel/
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| ├── diffusion_pytorch_model-00001-of-00002.safetensors
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| ├── diffusion_pytorch_model-00002-of-00002.safetensors
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| ├── diffusion_pytorch_model.safetensors.index.json
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| ├── config.json
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```
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* 3.6.3 lora optional from [here](https://huggingface.co/ByteDance/InfiniteYou)
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* 3.6.4 insightface
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```
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├── ComfyUI/models/antelopev2/
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| ├──1k3d68.onnx
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| ├──2d106det.onnx
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| ├──genderage.onnx
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| ├──glintr100.onnx
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| ├──scrfd_10g_bnkps.onnx
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```
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* * 3.6.5 recognition_arcface_ir_se50.pth from [here](https://github.com/xinntao/facexlib/releases/download/v0.1.0/recognition_arcface_ir_se50.pth) auto download
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4 Example
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----
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**InfiniteYou**
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**consistory**
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* whtn fill 'consi' in easyfunction is enable.. (Latest version)
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@@ -377,6 +419,7 @@ Function Description of Nodes
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Previous updates
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----
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* change some ms-diffusion'codes,if you use "[A] a (man) img " in role prompts,will get better of MS mode.
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* Added support for 'consistory', you can enable this feature by typing 'consi' in easy_function ('cache' and 'inject' are two additional features, you can try with larger VRAM);
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* The 'consistory' mode only supports single subjects, but you can also use (cat), (boy), or (hat) to create two subjects, such as entering:' a curve [girl] and wearing a (hat) 'in the character bar,Example images can be viewed;you can use lora when using consistory mode;
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* if use comfyUI sd3.5 clip and sd 3.5vae( from sd3.5 repo),can load single checkpoint(fp16,nf4 ) which can infer in nf4 mode.(need newest diffusers)
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