KBlueLeaf commited on
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d5cd173
1 Parent(s): 8ea4ab5

Update app.py

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  1. app.py +10 -4
app.py CHANGED
@@ -157,16 +157,22 @@ DanTagGen(Danbooru Tag Generator) is a LLM model designed for generating Danboou
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  It aims to provide user a more convinient way to make prompts for Text2Image model which is trained on Danbooru datasets.
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  #### How to use it:
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- 1. Fill the informations on the left most section.
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- 2. Add the general tags you want to use. ("prompt before refined")
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  3. If you want to ban some tags. Put them into the "black list" text area.
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  4. Choose the target length: **Long or Short is recommended**
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  * Very Short: around 10 tags
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  * Short: around 20 tags
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  * Long: around 40 tags
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  * very long: around 60 tags
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- 5. Submit!!
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- 6. You will get formated result on the upper-right section, LLM raw result on the bottom-right section.
 
 
 
 
 
 
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  """)
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  with gr.Row():
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  with gr.Column(scale=4):
 
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  It aims to provide user a more convinient way to make prompts for Text2Image model which is trained on Danbooru datasets.
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  #### How to use it:
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+ 1. Fill the informations on the left section.
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+ 2. Put the general tags you want to use into the "Input your general tags" textarea. ("prompt before refined")
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  3. If you want to ban some tags. Put them into the "black list" text area.
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  4. Choose the target length: **Long or Short is recommended**
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  * Very Short: around 10 tags
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  * Short: around 20 tags
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  * Long: around 40 tags
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  * very long: around 60 tags
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+ 5. Adjust some parameters
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+ * Width and height is for calculating the aspect ratio. It is recommended to directly put the height and width you want to use
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+ 6. Submit!!
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+ 7. You will get formated result on the upper-right section, LLM raw result on the bottom-right section.
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+
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+ #### Notice
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+ The formated result use same format as what Kohaku-XL Delta used. <br>
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+ The performance of using the output from this demo for other model is not guaranteed.
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  """)
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  with gr.Row():
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  with gr.Column(scale=4):