# WARNING
DUE TO LACK OF TIME AND MULTIPLE API'S UPDATES, THIS REPOSITORY IS NOT UP TO DATE, AND MAY BE DEPRICATED. I MAY CONSIDER COMING BACK TO THIS PROJECT LATER...
# MidJourney-Wrapper
## Presentation
The point of this bot is using [MidJouney](https://www.midjourney.com/home/) from an account other than the account you paid from.
To do so, there should be a Discord bot, which we will call DaVinci (see [Globals](https://github.com/Wildric-Auric/MidJourney-Wrapper/blob/main/Globals.py)), and the account subscribed to MidJourney, which we will call Salai, in the same server. Any discord user in the server can use DaVinci commands to generate images, their variations, upscale them...<br>
Warning though; you aren't allowed to use this software in the purpose of sharing your subscription with other people; this software is intended to be used only for learning purposes. If you infringe the rules, please know that you are solely responsible.
## Installation
* Clone the project.
* Install [requirements](https://github.com/Wildric-Auric/MidJourney-Wrapper/blob/main/requirements.txt) (only pycord version 2) and discord python api module if needed.
* Fill [Globals.py](https://github.com/Wildric-Auric/MidJourney-Wrapper/blob/main/Globals.py) with your data
* Run main.py;
## Implemented commands documentation
*MT stands for mandatory*
*OPT stands for optional*
### Generating idea
```
/mj_imagine [ MT : prompt (string)]
```
### Targetting image
Reply to MidJourney Bot message by the following command to target that piece of art for the next operation:
```
$mj_target
```
Notice that slash command is not used here because of discord not allowing Interactions during reply. Hence, there is no autocomplete, your reply is simply parsed to get the command.<br>
### Upscaling and variations
```
/mj_upscale [ MT : index (integer) ] [ OPT : reset_target (boolean) ]
```
*index* parameter takes values from 1 to 4; 1 is the index of top left image and 4 is the index of buttom right one.
The optional parameter *reset_target* indicates if target you have set before should be reset at the end of current operation; if that's done and you want to upscale image from same message with different index you should use *$mj_target* command again.
Generated image:
Notice that we cannot use ```/mj_upscale_to_max``` on this output since we used *--hd* parameter which makes a sigle upscale maximized.<br>
This last command does not require a parameter and it resets target since no other operation is possible on this output other than upscaling to max. But remember that you need again to target what you need to upscale for the second time.<br>
There is another command that uses the output of ```/mj_imagine```:
```
/mj_upscale_to_max [ MT : index (integer) ] [ OPT : reset_target (boolean) ]
```
It behaves the same way as upscaling command.
## Additional information
Even though a request error is caught by the bot (a problem with MidJourney bot, a problem with the subscripted account...) since it shows up as HTTP request error, it does not caught errors done by the user; for example if there was a typo using MidJourney parameters like ```-hd``` instead of ```--hd``` MidJourney reports it to the subscripted user but DaVinci does not complain about it, so pay attention to your inputs. Also read the official user [documentation](https://midjourney.gitbook.io/docs/user-manual) of MidJourney.
*Enjoy!*
2023 AIGC大型语言模型(LLM)实例代码合集.zip
版权申诉
5星 · 超过95%的资源 13 浏览量
2023-09-28
14:37:12
上传
评论
收藏 69.01MB ZIP 举报 
2023 AIGC大型语言模型(LLM)实例代码合集.zip （77个子文件） 
AIGC大型语言模型(LLM)实例代码合集 2-LangChain使用 
product_llm.py 8KB PromptTemplate1.py 225B LLMChain3.ipynb 4KB ChatModel1.ipynb 4KB LLMChain2.ipynb 5KB LLMChain-ChatPromptTemplate1.ipynb 2KB ChatModel_Memory.ipynb 2KB LLMChain1.ipynb 1KB ChatModel_Chain.ipynb 2KB ChatModel_Agent.ipynb 3KB indexes1.ipynb 8KB ConversationChain1.ipynb 3KB ChatPromptTemplate1.ipynb 2KB 4-向量数据库 chatpdf_faiss.ipynb 42KB word2vec utils __init__.py 185B segment.py 8KB files_processing.py 8KB create_word2vec.py 9KB create_batch_data.py 5KB __pycache__ __init__.cpython-311.pyc 404B files_processing.cpython-35.pyc 8KB files_processing.cpython-37.pyc 8KB files_processing.cpython-36.pyc 8KB segment.cpython-35.pyc 6KB segment.cpython-37.pyc 7KB __init__.cpython-35.pyc 329B __init__.cpython-37.pyc 394B __init__.cpython-36.pyc 313B segment.cpython-311.pyc 11KB segment.cpython-36.pyc 7KB files_processing.cpython-311.pyc 14KB journey_to_the_west segment 
segment_0.txt 2.27MB source journey_to_the_west.txt 1.23MB word_seg.py 1KB models word2Vec.model 7.77MB word_similarity.py 1KB Case-Faiss使用 faiss_demo1.ipynb 25KB faiss_text.ipynb 11KB text_faiss1.ipynb 17KB .ipynb_checkpoints Untitled-checkpoint.ipynb 917B faiss_demo1-checkpoint.ipynb 19KB test1-checkpoint.ipynb 55KB faiss_text-checkpoint.ipynb 10KB text_faiss1-checkpoint.ipynb 17KB text_similarity chinese_stopwords.txt 3KB faiss_demo1.py 2KB kmeans_text.ipynb 22KB .ipynb_checkpoints faiss_demo1-checkpoint.ipynb 15KB kmeans_text-checkpoint.ipynb 16KB text_faiss1-checkpoint.ipynb 20KB
sqlResult.zip 39.85MB 5-StableDiffusion & Midjourney stable_diffusion_webui install.ipynb 50KB run.ipynb 46KB add.ipynb 6KB MidJourney_bot Globals.py 373B LICENSE.md 7KB main.py 4KB Salai.py 3KB requirements.txt 17B README.md 4KB 1-ChatGLM使用 ptuning1.ipynb 96KB AdvertiseGen train2.json 93KB train.json 51.27MB dev2.json 4KB dev.json 487KB web_demo.py 6KB demo1.ipynb 280KB 3-ChatPDF实现 
三国演义第一回.pdf 116KB chatpdf-2-query.ipynb 7KB chatpdf-1.ipynb 2KB indexes2.ipynb 7KB chroma-1.ipynb 3KB 三国演义.pdf 3.75MB langchain_chatglm部署.ipynb 63KB chatpdf-2-embedding.ipynb 1.91MB indexes1.ipynb 12KB 三国演义第1回.txt 2KB资源评论
annaleeya2023-10-30资源很赞，希望多一些这类资源。
