# MagicPrompt_SD_V1

This is a Prompt Generator likes [Gustavosta/MagicPrompt-Stable-Diffusion](https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion)! 

But I wash the origin prompts data, and trains a powerful model to generate prompt for [魔导绪论](https://magic-tag.netlify.app/)

It's using Paddle to handle the training and other things. Not PyTorch or Tensorsflow.

There's the result I get form this model:

- You can use CPU to run the model! But GPU 10x faster then CPU 🚀.
- CPU (about 300ms/per  ) | GPU (about 90ms/per 🚀  ) V2-10 Model
- You can add some change easier passing some params.

## 📕 Using example is here

[飞桨仓库](https://aistudio.baidu.com/aistudio/projectdetail/5116158?contributionType=1)

You can wrapper a FastAPI or Flask to easily deploy it to your server

{"language": ["en"], "license": "cc-by-sa-4.0", "tags": ["code"], "pipeline_tag": "text-generation"}
paddlepaddle code text-generation en license:cc-by-sa-4.0 region:us
TAGS
#paddlepaddle #code #text-generation #en #license-cc-by-sa-4.0 #region-us 

# MagicPrompt_SD_V1

This is a Prompt Generator likes Gustavosta/MagicPrompt-Stable-Diffusion! 

But I wash the origin prompts data, and trains a powerful model to generate prompt for 魔导绪论

It's using Paddle to handle the training and other things. Not PyTorch or Tensorsflow.

There's the result I get form this model:

- You can use CPU to run the model! But GPU 10x faster then CPU .
- CPU (about 300ms/per  ) | GPU (about 90ms/per   ) V2-10 Model
- You can add some change easier passing some params.

##  Using example is here

飞桨仓库

You can wrapper a FastAPI or Flask to easily deploy it to your server

# MagicPrompt_SD_V1

This is a Prompt Generator likes Gustavosta/MagicPrompt-Stable-Diffusion! 

But I wash the origin prompts data, and trains a powerful model to generate prompt for 魔导绪论

It's using Paddle to handle the training and other things. Not PyTorch or Tensorsflow.

There's the result I get form this model:

- You can use CPU to run the model! But GPU 10x faster then CPU .
- CPU (about 300ms/per  ) | GPU (about 90ms/per   ) V2-10 Model
- You can add some change easier passing some params. ##  Using example is here

飞桨仓库

You can wrapper a FastAPI or Flask to easily deploy it to your server
TAGS
#paddlepaddle #code #text-generation #en #license-cc-by-sa-4.0 #region-us 
 # MagicPrompt_SD_V1

This is a Prompt Generator likes Gustavosta/MagicPrompt-Stable-Diffusion! 

But I wash the origin prompts data, and trains a powerful model to generate prompt for 魔导绪论

It's using Paddle to handle the training and other things. Not PyTorch or Tensorsflow.

There's the result I get form this model:

- You can use CPU to run the model! But GPU 10x faster then CPU .
- CPU (about 300ms/per  ) | GPU (about 90ms/per   ) V2-10 Model
- You can add some change easier passing some params. ##  Using example is here

飞桨仓库

You can wrapper a FastAPI or Flask to easily deploy it to your server
TAGS
#paddlepaddle #code #text-generation #en #license-cc-by-sa-4.0 #region-us 
# MagicPrompt_SD_V1

This is a Prompt Generator likes Gustavosta/MagicPrompt-Stable-Diffusion! 

But I wash the origin prompts data, and trains a powerful model to generate prompt for 魔导绪论

It's using Paddle to handle the training and other things. Not PyTorch or Tensorsflow.

There's the result I get form this model:

- You can use CPU to run the model! But GPU 10x faster then CPU .
- CPU (about 300ms/per  ) | GPU (about 90ms/per   ) V2-10 Model
- You can add some change easier passing some params.##  Using example is here

飞桨仓库

You can wrapper a FastAPI or Flask to easily deploy it to your server