
The AI virtual model trained based on the prototype of Dilmurat, all the pictures appearing in the account are generated by AI software Stable Diffusion, and the characters in the pictures do not exist in reality. Any theft or reproduction of the pictures from this account for fraud or other commercial purposes is the responsibility of the infringer.
以 Dilmurat 为原型基础训练的 Ai虚拟模型,账号中所出现的所有图片均由ai软件Stable Diffusion生成,图片中人物非真实存在。任何盗用或搬运本账号图片用于诈骗或其它商业用途的,责任由盗用者本人承担。
Description
***** Running training *****
Num batches each epoch = 460
Num Epochs = 150
Batch Size Per Device = 1
Gradient Accumulation steps = 1
Total train batch size (w. parallel, distributed & accumulation) = 1
Text Encoder Epochs: 112
Total optimization steps = 34500
Total training steps = 69000
Resuming from checkpoint: False
First resume epoch: 0
First resume step: 0
Lora: True, Optimizer: 8bit AdamW, Prec: fp16
Gradient Checkpointing: False
EMA: False
UNET: True
Freeze CLIP Normalization Layers: False
LR: 1e-05
LoRA Text Encoder LR: 0.0005
FAQ
Comments (1)
So far so good! I also learning how to train a dreambooth's big model. I've trained a LoRA model and uploaded and check my profiles
I have got few questions below:
#1:How many photos totally r u used for tranining this big model?
#2:How many steps totally you trained
Thx LoL
Details
Files
dilmuratReal_dilmuratR.yaml
Mirrors
projectKKawai_v4CharmLTS.yaml
projectKKawai_v30LTSEmaonlyOUTDATE.yaml
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fallenAngel_rev1.yaml
fallenAngel_rev3.yaml
dilmuratReal_dilmuratR.yaml
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tailubaby_v10.yaml
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