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@@ -14,12 +14,20 @@ Include any mix of these words in the prompt to produce verying results, or excl
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  There is usually at least a slight stylistic effect even without the words, but it is recommended to include at least one.
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  Adding token word/phrase class word/phrase at the start of the prompt in that order produces results most similar to the trained concept, but they can be included elsewhere as well. Some models produce better results when not including all token/class words.
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- 3k models are are more flexible, while 5k models produce images closer to the trained concept.
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- I recommend 2k/3k models for normal use, and 5k/6k models for model merging and use without token/class words.
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- However it can be also very prompt specific. I highly recommend self-experimentation.
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  ## Model info
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  token: m_concept\
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  class: 1girl\
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  base: waifu diffusion 1.3-e5
 
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  There is usually at least a slight stylistic effect even without the words, but it is recommended to include at least one.
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  Adding token word/phrase class word/phrase at the start of the prompt in that order produces results most similar to the trained concept, but they can be included elsewhere as well. Some models produce better results when not including all token/class words.
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+ For model merging I recommend using the wlop.ckpt or wlop-7k model.
 
 
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  ## Model info
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+ model: wlop\
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+ token: m_wlop\
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+ class: illustration style\
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+ base: waifu diffusion 1.3-full\
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+ images: 160\
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+ steps: 16000\
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+ note: This version is highly trained, and not suitable for standalone use. Merge with another model to use.
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+ note 2: Usually enough to just include m_wlop in the prompt when using.
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+
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+ model: wlop_e5
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  token: m_concept\
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  class: 1girl\
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  base: waifu diffusion 1.3-e5