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New Training Job
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Create Job
Job
Training Name
GPU ID
Trigger Word
Model
Model Architecture
Name or Path
Quantization
Transformer
Text Encoder
Target
Target Type
Linear Rank
Save
Data Type
Save Every
Max Step Saves to Keep
Training
Batch Size
Gradient Accumulation
Steps
Optimizer
Learning Rate
Weight Decay
Timestep Type
Timestep Bias
Loss Type
EMA (Exponential Moving Average)
Toggle Use EMA
Use EMA
Text Encoder Optimizations
Toggle Unload TE
Unload TE
Toggle Cache Text Embeddings
Cache Text Embeddings
Regularization
Toggle Differential Output Preservation
Differential Output Preservation
Toggle Blank Prompt Preservation
Blank Prompt Preservation
Advanced
Datasets
Dataset 1
Target Dataset
LoRA Weight
Default Caption
Caption Dropout Rate
Settings
Toggle Cache Latents
Cache Latents
Toggle Is Regularization
Is Regularization
Flipping
Toggle Flip X
Flip X
Toggle Flip Y
Flip Y
Resolutions
Toggle 256
256
Toggle 512
512
Toggle 768
768
Toggle 1024
1024
Toggle 1280
1280
Toggle 1536
1536
Add Dataset
Sample
Sample Every
Sampler
Guidance Scale
Sample Steps
Width
Height
Seed
Toggle Walk Seed
Walk Seed
Advanced Sampling
Toggle Skip First Sample
Skip First Sample
Toggle Force First Sample
Force First Sample
Toggle Disable Sampling
Disable Sampling
Sample Prompts (10)
Prompt
Width
Height
Seed
LoRA Scale
Prompt
Width
Height
Seed
LoRA Scale
Prompt
Width
Height
Seed
LoRA Scale
Prompt
Width
Height
Seed
LoRA Scale
Prompt
Width
Height
Seed
LoRA Scale
Prompt
Width
Height
Seed
LoRA Scale
Prompt
Width
Height
Seed
LoRA Scale
Prompt
Width
Height
Seed
LoRA Scale
Prompt
Width
Height
Seed
LoRA Scale
Prompt
Width
Height
Seed
LoRA Scale
Add Prompt
