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Upload Double_P_ZIT_512_r32_AdamW8Bit_Weighted_BF16_Qwen3_Captioned_000024000.safetensors
Experimental
Dataset: 112 images, captioned with Qwen3-VL-8B-Instruct-abliterated+Trigger Word "double penetration"
Training Tool: Ostris AI-Toolkit
Training Model: Tongyi-MAI/Z-Image-Turbo
Settings:
Quantization: None
Data Type: BF16
Batch Size: 1
Gradient Accumulation: 1
Steps: 24000
Optimizer: AdamW8Bit
Timestep Type: Weighted
Timestep Bias: Balanced
Loss Type: Mean Squared Error
Linear Rank: 32
Learning Rate: 0.0001
Weight Decay: 0.0001
Resolution: 512 -
initial commit
