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ONN

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@@ -70,33 +70,33 @@ ACertaintyにany_A ~ FのデータセットでDB。
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  - onn_real.fp16.safetensors
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  - dreamshaper_631BakedVae.safetensors
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- 1. pastel_A ~ EのデータセットでLoRaを5つ作成 = onnpastelLoRaA~E
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- 2. ONN_AOM2とpastelLoRAをマージ
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  | Model | Lora | Weight | Merge Name |
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  | --- | --- | --- | --- |
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  | ONN_AOM2 | onnpastelLoRaA | 0.8 | onnpastel_baseA |
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- 3. onnpastel_baseAとbp_1024_e10.ckptをマージ
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  | Model: A | Model: B | Base alpha | Merge Name |
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  | ------------ | -------- | ---------- | ------------------- |
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  | onnpastel_baseA | baseAとbp_1024_e1 | 0.5 | onnpastel_baseB |
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- 4. ACertaintyをany_C.zipのデータセットでFT = onnpastel_baseC
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- 5. onnpastel_baseBとonnpastel_baseCをマージ
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  | Model: A | Model: B | Base alpha | Merge Name |
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  | ------------ | -------- | ---------- | ------------------- |
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  | onnpastel_baseB |onnpastel_baseC | 0.5 | onnpastel_baseBC |
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- 6. onnpastel_baseBCとonn_realをマージ
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  | Model: A | Model: B | Weight | Base alpha | Merge Name |
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  | ------------ | -------- | --------------------------------------------------------------------- | ---------- | ------------------- |
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  | onnpastel_baseBC | onn_real | 1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 | 0 | onnpastel |
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- 7. 各種LoRAをマージ
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  | Model | Lora | Weight | Merge Name |
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  | --- | --- | --- | --- |
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  | onnpastel | onnpastelLoRaB | 0.2 | onnpastel-1 |
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  | onnpastel-1 | onnpastelLoRaC | 0.3 | onnpastel-2 |
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  | onnpastel-2 | onnpastelLoRaE | 0.6 | onnpastel-3 |
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- 8. 調整用モデルの作成、マージ
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  | Model: A | Model: B | Weight | Base alpha | Merge Name |
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  | ------------ | -------- | --------------------------------------------------------------------- | ---------- | ------------------- |
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  | onnpastel_baseC | dreamshaper_631BakedVae | 0.7,0.5,0.3,0.1,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7 | 0 | onnpastel_baseC-1 |
 
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  - onn_real.fp16.safetensors
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  - dreamshaper_631BakedVae.safetensors
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+ 1. pastel_A ~ EのデータセットでLoRaを5つ作成(学習モデルはACertainty) = onnpastelLoRaA~E
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+ 3. ONN_AOM2とpastelLoRAをマージ
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  | Model | Lora | Weight | Merge Name |
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  | --- | --- | --- | --- |
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  | ONN_AOM2 | onnpastelLoRaA | 0.8 | onnpastel_baseA |
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+ 4. onnpastel_baseAとbp_1024_e10.ckptをマージ
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  | Model: A | Model: B | Base alpha | Merge Name |
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  | ------------ | -------- | ---------- | ------------------- |
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  | onnpastel_baseA | baseAとbp_1024_e1 | 0.5 | onnpastel_baseB |
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+ 5. ACertaintyをany_C.zipのデータセットでFT = onnpastel_baseC
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+ 6. onnpastel_baseBとonnpastel_baseCをマージ
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  | Model: A | Model: B | Base alpha | Merge Name |
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  | ------------ | -------- | ---------- | ------------------- |
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  | onnpastel_baseB |onnpastel_baseC | 0.5 | onnpastel_baseBC |
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+ 7. onnpastel_baseBCとonn_realをマージ
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  | Model: A | Model: B | Weight | Base alpha | Merge Name |
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  | ------------ | -------- | --------------------------------------------------------------------- | ---------- | ------------------- |
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  | onnpastel_baseBC | onn_real | 1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 | 0 | onnpastel |
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+ 8. 各種LoRAをマージ
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  | Model | Lora | Weight | Merge Name |
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  | --- | --- | --- | --- |
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  | onnpastel | onnpastelLoRaB | 0.2 | onnpastel-1 |
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  | onnpastel-1 | onnpastelLoRaC | 0.3 | onnpastel-2 |
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  | onnpastel-2 | onnpastelLoRaE | 0.6 | onnpastel-3 |
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+ 9. 調整用モデルの作成、マージ
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  | Model: A | Model: B | Weight | Base alpha | Merge Name |
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  | ------------ | -------- | --------------------------------------------------------------------- | ---------- | ------------------- |
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  | onnpastel_baseC | dreamshaper_631BakedVae | 0.7,0.5,0.3,0.1,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7 | 0 | onnpastel_baseC-1 |