2024-07-09 21:28:18 +08:00
2024-07-03 18:03:11 +08:00
2024-07-03 12:04:30 +08:00
2024-07-03 12:04:17 +08:00
2024-07-03 12:02:45 +08:00
2024-07-03 12:08:24 +08:00
2024-07-03 12:01:34 +08:00
2024-07-03 12:00:20 +08:00
2024-07-01 13:19:48 +08:00
2024-07-09 21:28:01 +08:00
2024-07-03 14:34:53 +08:00
2024-07-03 14:29:12 +08:00
2024-07-03 18:43:23 +08:00
2024-07-03 12:12:44 +08:00

ComfyUI_MS_Diffusion

You can using MS_Diffusion in ComfyUI

中文说明

MS-Diffusion origin From: MS-Diffusion

My ComfyUI node list:

1、ParlerTTS node:ComfyUI_ParlerTTS
2、Llama3_8B node:ComfyUI_Llama3_8B
3、HiDiffusion node:ComfyUI_HiDiffusion_Pro
4、ID_Animator node: ComfyUI_ID_Animator
5、StoryDiffusion node:ComfyUI_StoryDiffusion
6、Pops node:ComfyUI_Pops
7、stable-audio-open-1.0 node :ComfyUI_StableAudio_Open
8、GLM4 node:ComfyUI_ChatGLM_API
9、CustomNet node:ComfyUI_CustomNet
10、Pipeline_Tool node :ComfyUI_Pipeline_Tool
11、Pic2Story node :ComfyUI_Pic2Story
12、PBR_Maker node:ComfyUI_PBR_Maker
13、ComfyUI_Streamv2v_Plus node:ComfyUI_Streamv2v_Plus
14、ComfyUI_MS_Diffusion node:ComfyUI_MS_Diffusion

1.Installation

In the ./ComfyUI /custom_node directory, run the following:

git clone https://github.com/smthemex/ComfyUI_MS_Diffusion.git

2.requirements

pip install -r requirements.txt

If the module is missing, please pip install

3 Need model

3.1 base model:
Choose one of the three options above the model loading node, and change the rest to "none" or leave it blank. The first option is to select a standalone SDXL community model, the second option is to select a pre downloaded SDXL diffuser model, and the third option is to use the "repo_id" method
The default repo_id models are stabilityai/stable-diffusion-xl-base-1.0 (for example,you can using :G161222/RealVisXL_V4.0,sd-community/sdxl-flash...)

3.2 adapter and encoder model
Need download "ms_adapter.bin" : link
Need encoder model "laion/CLIP-ViT-bigG-14-laion2B-39B-b160k":link

├── ComfyUI/custom_nodes/ComfyUI_MS_Diffusion/
|      ├──weights/
|             ├── ms_adapter.bin

if you want to use menu, encoder model "laion/CLIP-ViT-bigG-14-laion2B-39B-b160k" shoule be:

├── ComfyUI/models/
|      ├──clip_vision/
|             ├── laion/CLIP-ViT-bigG-14-laion2B-39B-b160k

3.2 offline
If the address is not in the default C drive category, you can fill in the absolute address of the diffusion model in the "path" column, which must be "/"

Fill in the absolute path of your local clip model in the "laion/CLIP ViT bigG-14-laion2B-39B-b160k" column, using "/".
Please refer to the file structure demonstration below for the required files.

├── ComfyUI/custom_nodes/ComfyUI_MS_Diffusion/
|      ├──weights/
|             ├── ms_adapter.bin
├── Any local_path/
|     ├──CLIP ViT bigG-14-laion2B-39B-b160k/
|             ├── config.json
|             ├── preprocessor_config.json
|             ├──pytorch_model.bin.index.json
|             ├──pytorch_model-00001-of-00002.bin
|             ├──pytorch_model-00002-of-00002.bin
|             ├──special_tokens_map.json
|             ├──tokenizer.json
|             ├──tokenizer_config.json
|             ├──vocab.json

3.3 The model file example for dual role controllnet is as follows, which only supports SDXL controllnet

├── ComfyUI/models/diffusers/   
|     ├──xinsir/controlnet-openpose-sdxl-1.0    
|         ├── config.json   
|         ├── diffusion_pytorch_model.fp16.safetensors   
|     ├──xinsir/controlnet-scribble-sdxl-1.0   
|         ├── config.json   
|         ├── diffusion_pytorch_model.fp16.safetensors   
|     ├──diffusers/controlnet-canny-sdxl-1.0   
|         ├── config.json   
|         ├── diffusion_pytorch_model.fp16.safetensors   
|     ├──diffusers/controlnet-depth-sdxl-1.0   
|         ├── config.json   
|         ├── diffusion_pytorch_model.fp16.safetensors
|     ├──/controlnet-zoe-depth-sdxl-1.0  
|         ├── config.json   
|         ├── diffusion_pytorch_model.fp16.safetensors
|     ├──TheMistoAI/MistoLine 
|         ├── config.json   
|         ├── diffusion_pytorch_model.fp16.safetensors
|     ├──xinsir/controlnet-tile-sdxl-1.0
|         ├── config.json   
|         ├── diffusion_pytorch_model.fp16.safetensors
   

Control_img image preprocessing, please use other nodes

4 using tips

--- The default scene prompt includes three modes: double(double[ ]), single(single[ ), and unmanned([NC]).
---The character prompt must have [name], which can be man, dog, panda, and so on.
---When using ControlNet, the number of images in ControlNet must match the number of scene prompts.
---Other functions similar to storydiffusion
---The bottom of the sampling node is a function that can only be used after starting layout_guidance (custom character), and must be a floating-point number less than 1.0.

5 Example

img2img lora

img2img mode, add controlnet

Citation

MS-Diffusion

@misc{wang2024msdiffusion,
  title={MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance}, 
  author={X. Wang and Siming Fu and Qihan Huang and Wanggui He and Hao Jiang},
  year={2024},
  eprint={2406.07209},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

IP-Adapter

@article{ye2023ip-adapter,
  title={IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models},
  author={Ye, Hu and Zhang, Jun and Liu, Sibo and Han, Xiao and Yang, Wei},
  booktitle={arXiv preprint arxiv:2308.06721},
  year={2023}
}
S
Description
No description provided
Readme MIT
4.2 MiB
Languages
Python 100%