Datasets:
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---
license: cc0-1.0
task_categories:
- text-generation
- text-classification
language:
- en
tags:
- code
- art
pretty_name: mg_sd_washed
size_categories:
- 10K<n<100K
---
# MagicPrompt_SD_Washed
It's a version of datasets of [Gustavosta/MagicPrompt-Stable-Diffusion](https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion).
When I want to train a model using origin data, some bad prompts broke model and waste many time.
So I washed the origin datasets:
1. π delete some meanless words like some artists name with misspelling
2. π delete many spaces that make `100mm` to `10 0m`
3. π some url in datasets
4. π and many unknown words
And this version is doing well in my train test!π
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