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@@ -42,9 +42,13 @@ https://www.figma.com/file/1JYEljsTwm6qRwR665yI7w/Merging-lab%E3%80%8CHosioka-Fo
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  如果觉得画面内容**不够丰富**,你可以尝试**细致地描述**,使画面更加**贴近你的想象**。
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  *如果你想用很少的提示词抽奖的话,最好把雨伞(umbrella)加进负面提示词(至少在V1是这样的)。*
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- 我一般在效果不符合预期时使用clip2
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  **随你喜好使用lora!**
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@@ -82,7 +86,11 @@ If you feel that the content of the picture is **not rich enough**, You can try
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  *If you want to sweepstakes with few prompts, it is better to add umbrella to the negative prompt (at least in V1).*
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- I usually use clip2 when the results don't meet expectations.
 
 
 
 
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  **Use lora as you like!**
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  如果觉得画面内容**不够丰富**,你可以尝试**细致地描述**,使画面更加**贴近你的想象**。
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+ **提示词的权重以及顺序会影响它在画面里的重要程度。**
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+ **如果有无法作出反应的提示词,请按以下顺序排查问题:同义词(同一概念的不同描述),提示词冲突(正面和负面),模型问题(看其他模型能否对同样的提示词作出反应)**,embedding(我并没有使用它的习惯,但考虑到它的原理,我将它放上来作为参考)。
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  *如果你想用很少的提示词抽奖的话,最好把雨伞(umbrella)加进负面提示词(至少在V1是这样的)。*
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+ **我一般在效果不符合预期时使用clip2。**
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  **随你喜好使用lora!**
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  *If you want to sweepstakes with few prompts, it is better to add umbrella to the negative prompt (at least in V1).*
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+ **The weight of the prompt word and the order in which it is used affects how important it is in the picture.**
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+ **If there are prompt words that you cannot respond to, please rank the problems in the following order: synonyms (different descriptions of the same concept), prompt word conflicts (positive and negative), model problems (see if other models can respond to the same prompt words),** embedding (I am not in the habit of using it, but considering its rationale, I put it up as a reference).
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+ **I usually use clip2 when the results don't meet expectations.**
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  **Use lora as you like!**
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