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license: creativeml-openrail-m |
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any系をACertaintyベースで再現したモデルです。 |
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▼使用モデル |
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- ACertainty.ckpt |
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- bp_1024_e10.ckpt |
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- instagram-latest-plus-clip-v6e1_50000.safetensors |
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- Bra6-2(beta).safetensors |
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- dreamshaper_631BakedVae.safetensors |
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ほとんどテストしてないので使いにくかったらマージしたりしてください。 |
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蒸留画像は使用していません。下記のレポジトリからデータセットのキャプションのみダウンロードできます。 |
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DataSet: [https://huggingface.co/datasets/paimonimpact/ONN](https://huggingface.co/datasets/paimonimpact/ONN) |
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# ONN_anyV3.fp16.safetensors |
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▼Use Models |
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- ACertainty.ckpt |
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- bp_1024_e10.ckpt |
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ACertaintyにany_A ~ FのデータセットでDB。 |
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| Model: A | Model: B | Weight | Base alpha | Merge Name | |
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| ------------ | -------- | --------------------------------------------------------------------- | ---------- | ------------------- | |
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| A | C | - | 0.3 | AC | |
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| B | E | - | 0.5 | BE | |
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| D | F | - | 0.5 | DF | |
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| BE | DF | 0.0,0.0,0.1,0.3,0.5,0.7,1.0,0.7,0.5,0.3,0.1,0.0,0.0,0.0,0.1,0.3,0.5,0.7,0.5,0.3,0.1,0.0,0.0,0.0,0.0 | 0.3 | BEDF | |
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| BEDF | AC | 1.0,0.9,0.7,0.5,0.3,0.1,0.3,0.3,0.3,0.3,0.3,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.3,0.5,0.7,0.9,1.0 | 0.3 | BEDFAC | |
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| BEDFAC | bp_1024_e10 | - | 0.15 | ONN_anyV3 | |
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# ONN_AOM2.fp16.safetensors |
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▼Use Models |
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- ONN_anyV3.fp16.safetensors |
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- Bra6-2(beta).safetensors |
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- instagram-latest-plus-clip-v6e1_50000.safetensors |
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- dreamshaper_631BakedVae.safetensors |
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| Model: A | Model: B | Weight | Base alpha | Merge Name | |
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| ------------ | -------- | --------------------------------------------------------------------- | ---------- | ------------------- | |
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| instagram-latest-plus-clip-v6e1_50000 | Bra6-2(beta) | 0,0.0,0.0,0.0,0.0,0.1,0.3,0.5,0.7,0.5,0.3,0.1,0.0,0.0,0.1,0.3,0.5,0.7,0.9,0.7,0.5,0.3,0.1,0.1,0.0,0.0 | 0(cosineB) | insta_bra | |
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| Model: A | Model: B | Model: C | Interpolation Method | Merge Name | |
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| -------- | -------- | -------- | -------------------- | ---------- | |
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| insta_bra | dreamshaper_631BakedVae | v1-5-pruned | Add Difference @ 0.7 | onn_real | |
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| Model: A | Model: B | Weight | Base alpha | Merge Name | |
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| ------------ | -------- | --------------------------------------------------------------------- | ---------- | ------------------- | |
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| ONN_anyV3 | onn_real | 0,1.0,0.9,0.7,0.5,0.3,0.1,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.3,0.5,0.7,0.9,1.0 | 0 | ONN_AOM2 | |
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# ONN_anyV4.fp16.safetensors |
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▼Use Models |
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- ACertainty.ckpt |
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- ONN_AOM2.fp16.safetensors |
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1. ACertaintyをanyV4.zipのデータセットでFT = FT_ACertainty |
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2. ONN_AOM2と単純マージ |
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| Model: A | Model: B | Base alpha | Merge Name | |
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| ------------ | -------- | ---------- | ------------------- | |
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| FT_ACertainty | ONN_AOM2 | 0.5 | ONN_anyV4 | |
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# ONN_pastel.fp16.safetensors |
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▼Use Models |
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- bp_1024_e10.ckpt |
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- ONN_AOM2.fp16.safetensors |
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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 | 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 | |
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| Model | Lora | Weight | Merge Name | |
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| --- | --- | --- | --- | |
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| onnpastel_baseC-1 | onnpastelLoRaA | 0.8 | onnpastel_baseC-2 | |
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| Model: A | Model: B | Weight | Base alpha | Merge Name | |
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| ------------ | -------- | --------------------------------------------------------------------- | ---------- | ------------------- | |
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| onnpastel-3 | onnpastel_baseC-2 | 0,0.7,0.5,0.3,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7 | 0 | onnpastel-4 | |
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9. LoRAをマージ |
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| Model | Lora | Weight | Merge Name | |
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| --- | --- | --- | --- | |
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| onnpastel-4 | onnpastelLoRaD | 0.7 | ONN_pastel | |
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