The dataset for this lora has been prepared like my typical lora. It is captioned in natural language without trigger words. All faces in dataset have been censored in various ways to prevent the result from looking like the persons in the dataset. If you want to see a face, put details of it in your prompt. Random edits were used to prevent the introduction of bias caused by these edits.

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{ "engine": "kohya", "unetLR": 0.0005, "clipSkip": 1, "loraType": "lora", "keepTokens": 0, "networkDim": 4, "numRepeats": 6, "resolution": 1024, "lrScheduler": "cosine_with_restarts", "minSnrGamma": 5, "noiseOffset": 0.1, "targetSteps": 2100, "enableBucket": true, "networkAlpha": 8, "optimizerType": "AdamW8Bit", "textEncoderLR": 0, "maxTrainEpochs": 30, "shuffleCaption": false, "trainBatchSize": 3, "flipAugmentation": false, "lrSchedulerNumCycles": 3 }

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