c0mix

此版本使用了更多“传统”（仍具有稍高的学习率）的数据进行训练。以下是为感兴趣者提供的详细信息：

"engine": "kohya", "unetLR": 0.001, "clipSkip": 2, "loraType": "lora", "keepTokens": 1, "networkDim": 32, "numRepeats": 4, "resolution": 1024, "lrScheduler": "cosine", "minSnrGamma": 5, "noiseOffset": 0.1, "targetSteps": 1867, "enableBucket": true, "networkAlpha": 16, "optimizerType": "Prodigy", "textEncoderLR": 0.0002, "maxTrainEpochs": 10, "shuffleCaption": true, "trainBatchSize": 3, "flipAugmentation": false, "lrSchedulerNumCycles": 3