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model A/maximum float64 | modelmerger/Multiplier (M) - set to 0 to get model A/step float64 | modelmerger/Interpolation Method/visible bool | modelmerger/Interpolation Method/value string | modelmerger/Checkpoint format/visible bool | modelmerger/Checkpoint format/value string | modelmerger/Save as float16/visible bool | modelmerger/Save as float16/value bool | modelmerger/Save metadata (.safetensors only)/visible bool | modelmerger/Save metadata (.safetensors only)/value bool | modelmerger/Copy config from/visible bool | modelmerger/Copy config from/value string | modelmerger/Bake in VAE/visible bool | modelmerger/Bake in VAE/value string | modelmerger/Discard weights with matching name/visible bool | modelmerger/Discard weights with matching name/value string | train/Tabs@train_tabs/selected null | train/Name/visible bool | train/Name/value string | train/Initialization text/visible bool | train/Initialization text/value string | train/Number of vectors per token/visible bool | train/Number of vectors per token/value int64 | train/Number of vectors per token/minimum int64 | train/Number of vectors per token/maximum int64 | train/Number of vectors per token/step int64 | train/Overwrite Old Embedding/visible bool | train/Overwrite Old Embedding/value bool | train/Enter hypernetwork layer structure/visible bool | train/Enter hypernetwork layer structure/value string | train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/visible bool | train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/value string | train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/visible bool | train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/value string | train/Add layer normalization/visible bool | train/Add layer normalization/value bool | train/Use dropout/visible bool | train/Use dropout/value bool | train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/visible bool | train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/value string | train/Overwrite Old Hypernetwork/visible bool | train/Overwrite Old Hypernetwork/value bool | train/Source directory/visible bool | train/Source directory/value string | train/Destination directory/visible bool | train/Destination directory/value string | train/Width/visible bool | train/Width/value int64 | train/Width/minimum int64 | train/Width/maximum int64 | train/Width/step int64 | train/Height/visible bool | train/Height/value int64 | train/Height/minimum int64 | train/Height/maximum int64 | train/Height/step int64 | train/Existing Caption txt Action/visible bool | train/Existing Caption txt Action/value string | train/Keep original size/visible bool | train/Keep original size/value bool | train/Create flipped copies/visible bool | train/Create flipped copies/value bool | train/Split oversized images/visible bool | train/Split oversized images/value bool | train/Auto focal point crop/visible bool | train/Auto focal point crop/value bool | train/Auto-sized crop/visible bool | train/Auto-sized crop/value bool | train/Use BLIP for caption/visible bool | train/Use BLIP for caption/value bool | train/Use deepbooru for caption/visible bool | train/Use deepbooru for caption/value bool | train/Split image threshold/visible bool | train/Split image threshold/value float64 | train/Split image threshold/minimum float64 | train/Split image threshold/maximum float64 | train/Split image threshold/step float64 | train/Split image overlap ratio/visible bool | train/Split image overlap ratio/value float64 | train/Split image overlap ratio/minimum float64 | train/Split image overlap ratio/maximum float64 | train/Split image overlap ratio/step float64 | train/Focal point face weight/visible bool | train/Focal point face weight/value float64 | train/Focal point face weight/minimum float64 | train/Focal point face weight/maximum float64 | train/Focal point face weight/step float64 | train/Focal point entropy weight/visible bool | train/Focal point entropy weight/value float64 | train/Focal point entropy weight/minimum float64 | train/Focal point entropy weight/maximum float64 | train/Focal point entropy weight/step float64 | train/Focal point edges weight/visible bool | train/Focal point edges weight/value float64 | train/Focal point edges weight/minimum float64 | train/Focal point edges weight/maximum float64 | train/Focal point edges weight/step float64 | train/Create debug image/visible bool | train/Create debug image/value bool | train/Dimension lower bound/visible bool | train/Dimension lower bound/value int64 | train/Dimension lower bound/minimum int64 | train/Dimension lower bound/maximum int64 | train/Dimension lower bound/step int64 | train/Dimension upper bound/visible bool | train/Dimension upper bound/value int64 | train/Dimension upper bound/minimum int64 | train/Dimension upper bound/maximum int64 | train/Dimension upper bound/step int64 | train/Area lower bound/visible bool | train/Area lower bound/value int64 | train/Area lower bound/minimum int64 | train/Area lower bound/maximum int64 | train/Area lower bound/step int64 | train/Area upper bound/visible bool | train/Area upper bound/value int64 | train/Area upper bound/minimum int64 | train/Area upper bound/maximum int64 | train/Area upper bound/step int64 | train/Resizing objective/visible bool | train/Resizing objective/value string | train/Error threshold/visible bool | train/Error threshold/value float64 | train/Error threshold/minimum int64 | train/Error threshold/maximum int64 | train/Error threshold/step float64 | train/Embedding/visible bool | train/Embedding/value null | train/Hypernetwork/visible bool | train/Hypernetwork/value null | train/Embedding Learning rate/visible bool | train/Embedding Learning rate/value string | train/Hypernetwork Learning rate/visible bool | train/Hypernetwork Learning rate/value string | train/Gradient Clipping/visible bool | train/Gradient Clipping/value string | train/Batch size/visible bool | train/Batch size/value int64 | train/Gradient accumulation steps/visible bool | train/Gradient accumulation steps/value int64 | train/Dataset directory/visible bool | train/Dataset directory/value string | train/Log directory/visible bool | train/Log directory/value string | train/Prompt template/visible bool | train/Prompt template/value string | train/Do not resize images/visible bool | train/Do not resize images/value bool | train/Max steps/visible bool | train/Max steps/value int64 | train/Save an image to log directory every N steps, 0 to disable/visible bool | train/Save an image to log directory every N steps, 0 to disable/value int64 | train/Save a copy of embedding to log directory every N steps, 0 to disable/visible bool | train/Save a copy of embedding to log directory every N steps, 0 to disable/value int64 | train/Use PNG alpha channel as loss weight/visible bool | train/Use PNG alpha channel as loss weight/value bool | train/Save images with embedding in PNG chunks/visible bool | train/Save images with embedding in PNG chunks/value bool | train/Read parameters (prompt, etc...) from txt2img tab when making previews/visible bool | train/Read parameters (prompt, etc...) from txt2img tab when making previews/value bool | train/Shuffle tags by ',' when creating prompts./visible bool | train/Shuffle tags by ',' when creating prompts./value bool | train/Drop out tags when creating prompts./visible bool | train/Drop out tags when creating prompts./value int64 | train/Drop out tags when creating prompts./minimum int64 | train/Drop out tags when creating prompts./maximum int64 | train/Drop out tags when creating prompts./step float64 | train/Choose latent sampling method/visible bool | train/Choose latent sampling method/value string | webui/Tabs@tabs/selected null |
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true | true | true | [] | null | true | DPM++ 2M Karras | true | 20 | 1 | 150 | 1 | false | true | false | true | false | true | Latent | true | 0 | 0 | 150 | 1 | true | 0.7 | 0 | 1 | 0.01 | true | 2 | 1 | 4 | 0.05 | true | 0 | 0 | 2,048 | 8 | true | 0 | 0 | 2,048 | 8 | true | 512 | 64 | 2,048 | 8 | true | 768 | 64 | 2,048 | 8 | true | true | 1 | 1 | 100 | 1 | true | 1 | 1 | 8 | 1 | true | 7 | 1 | 30 | 0.5 | true | -1 | true | true | true | false | true | -1 | true | 0 | 0 | 1 | 0.01 | true | 0 | 0 | 2,048 | 8 | true | 0 | 0 | 2,048 | 8 | null | true | None | true | false | true | false | true | positive | true | comma | true | 0 | 0 | 500 | 2 | true | false | true | false | true | true | Seed | true | true | Nothing | true | true | Nothing | true | true | true | true | false | true | false | true | false | true | 0 | 0 | 500 | 2 | true | true | true | [] | null | null | true | true | true | true | Just resize | true | 4 | 0 | 64 | 1 | 0 | 0 | 100 | 1 | true | Inpaint masked | true | original | true | Whole picture | true | 32 | 0 | 256 | 4 | true | Euler a | true | 20 | 1 | 150 | 1 | false | true | false | true | 512 | 64 | 2,048 | 8 | true | 512 | 64 | 2,048 | 8 | true | 1 | 0.05 | 4 | 0.05 | true | 0 | 0 | 100 | 1 | true | 1 | 1 | 100 | 1 | true | 1 | 1 | 8 | 1 | true | 7 | 1 | 30 | 0.5 | 1.5 | 0 | 3 | 0.05 | true | 0.75 | 0 | 1 | 0.01 | true | -1 | true | true | true | false | true | -1 | true | 0 | 0 | 1 | 0.01 | true | 0 | 0 | 2,048 | 8 | true | 0 | 0 | 2,048 | 8 | null | true | None | true | true | true | true | true | true | true | true | true | 50 | 1 | 150 | 1 | true | true | true | 1 | 0 | 15 | 0.1 | true | 0 | 0 | 1 | 0.01 | true | false | true | 4 | 1 | 32 | 1 | true | 0.5 | 0 | 1 | 0.01 | true | Linear | true | None | true | 128 | 8 | 256 | 8 | true | 8 | 0 | 64 | 1 | true | 1 | 0 | 4 | 0.01 | true | 0.05 | 0 | 1 | 0.01 | true | 128 | 8 | 256 | 8 | true | 4 | 0 | 64 | 1 | true | fill | true | false | true | false | true | positive | true | comma | true | 0 | 0 | 500 | 2 | true | false | true | false | true | true | 64 | 0 | 256 | 16 | true | 2 | 1 | 4 | 0.05 | true | None | true | Seed | true | true | Nothing | true | true | Nothing | true | true | true | true | false | true | false | true | false | true | 0 | 0 | 500 | 2 | null | true | true | true | true | null | true | 4 | 1 | 8 | 0.05 | true | 512 | 64 | 2,048 | 8 | true | 512 | 64 | 2,048 | 8 | true | true | true | None | true | None | true | 0 | 0 | 1 | 0.001 | true | 0 | 0 | 1 | 0.001 | true | 0 | 0 | 1 | 0.001 | true | 0 | 0 | 1 | 0.001 | true | null | true | null | true | null | true | true | 0.3 | 0 | 1 | 0.05 | true | Weighted sum | true | safetensors | true | false | true | true | true | A, B or C | true | None | true | null | true | true | * | true | 1 | 1 | 75 | 1 | true | false | true | 1, 2, 1 | true | linear | true | Normal | true | false | true | false | true | 0, 0, 0 | true | false | true | true | true | 512 | 64 | 2,048 | 8 | true | 512 | 64 | 2,048 | 8 | true | ignore | true | false | true | false | true | false | true | false | true | false | true | false | true | false | true | 0.5 | 0 | 1 | 0.05 | true | 0.2 | 0 | 0.9 | 0.05 | true | 0.9 | 0 | 1 | 0.05 | true | 0.15 | 0 | 1 | 0.05 | true | 0.5 | 0 | 1 | 0.05 | true | false | true | 384 | 64 | 2,048 | 8 | true | 768 | 64 | 2,048 | 8 | true | 4,096 | 4,096 | 4,194,304 | 1 | true | 409,600 | 4,096 | 4,194,304 | 1 | true | Maximize area | true | 0.1 | 0 | 1 | 0.01 | true | null | true | null | true | 0.005 | true | 0.00001 | true | disabled | true | 1 | true | 1 | true | true | textual_inversion | true | style_filewords.txt | true | false | true | 100,000 | true | 500 | true | 500 | true | false | true | true | true | false | true | false | true | 0 | 0 | 1 | 0.1 | true | once | null |
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