Update README.md

README.md

@@ -98,10 +98,10 @@ rev01A Revised rev010A is modified, rev011A and rev011B-LCM are newly released.<
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 [おすすめ] 私的 LCM 活用<br>
 LCM(LORA) をモデルにマージする場合 bM1280ch (FreeU 相当) にすると STEP 設定に余裕が生まれました<br>
-※bM1280ch = 0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0<br>
+※bM1280:0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0<br>
 [Recommendation] Efficient LCM usage<br>
 When merging LCM(LORA) into a model, set bM1280ch (equivalent to FreeU) to give more leeway for STEP setting.<br>
-※bM1280ch = 0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0<br>
+※bM1280:0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0<br>
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 ｜LCM について (追記)｜ ＞LCM の効果的な使用方法について＜<br>
@@ -118,11 +118,11 @@ Comparing STEP, Sampler, CFG, on the model above reveals a good setup (the model
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 Samplerは、Euler a、DPM++ 2S a Karras、この２つを選択するのが最良かなと思います<br>
 このモデルへの LCM 適用は、以下の層別マージを｢0.5｣で行っています<br>
-※R1280Gch:0,1,1,1,1,1,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,1,1,1,1 (実質／bm320、bm640 [FreeU 相当])<br>
+※R1280G:0,1,1,1,1,1,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,1,1,1,1 (実質／bm320、bm640 [FreeU 相当])<br>
 これだけで STEP ４ くらいでキレイな生成画像を得られるようになります<br>
 Sampler is Euler a, DPM++ 2S a Karras, I think these two are the best choices！<br>
 LCM application to this model has the following stratified merges at "0.5"<br>
-R1280Gch:0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1 (real/bm320, bm640 [FreeU equivalent])<br>
+※R1280G:0,1,1,1,1,1,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,1,1,1,1 (real/bm320, bm640 [FreeU equivalent])<br>
 This is all it takes to get a beautiful generated image in about STEP 4！<br>
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 LCM (LORA) は、使用するモデルにより強度を下げて適用するとよいです<br>