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<div class="text-container"><span id="t1_11" class="t s1_11">Problems </span>
<span id="t2_11" class="t s1_11">and </span>
<span id="t3_11" class="t s2_11">Proposed </span>
<span id="t4_11" class="t s2_11">Solutions </span>
<span id="t5_11" class="t s3_11">Some merged models have good performance, such as AnythingV3. </span>
<span id="t6_11" class="t s3_11">Should I continue to merge? </span>
<span id="t7_11" class="t s4_11">This is not scientifically sound and will ultimately result in a model </span>
<span id="t8_11" class="t s4_11">that is overfitted in some cases and normal in others. This model </span>
<span id="t9_11" class="t s4_11">looks good at first, but you will find that it is not faithful to the </span>
<span id="ta_11" class="t s4_11">input prompt and suffers from the problem of language drift </span>
<span id="tb_11" class="t s4_11">mentioned above. </span>
<span id="tc_11" class="t s5_11">3.Merged Models? </span>
<span id="td_11" class="t s4_11">Solution </span><span id="te_11" class="t s4_11">We can use the method mentioned above to train two models together using a </span>
<span id="tf_11" class="t s4_11">word frequency list with Dreambooth. We can add or replace the training data with the </span>
<span id="tg_11" class="t s4_11">images generated by the model we want to merge, according to the calculated ratio, and </span>
<span id="th_11" class="t s4_11">maintain a dynamic training dataset during training to prevent overfitting, as mentioned </span>
<span id="ti_11" class="t s4_11">above. We get a balanced model that does not overfit in certain directions. Then choose a </span>
<span id="tj_11" class="t s4_11">checkpoint that is about to be overfitted but not yet as the final version. This type of </span>
<span id="tk_11" class="t s4_11">model is popular in the community because it has good output even under poorly written </span>
<span id="tl_11" class="t s4_11">prompt inputs, such as the </span><span id="tm_11" class="t s6_11">CertainThing</span><span id="tn_11" class="t s4_11">. </span></div>
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