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Running
on
Zero
Running
on
Zero
Update app.py
Browse files
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
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2.
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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.
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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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#### 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):
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