Actually, I trained a haps style model to generate this character, whom I really like. However, due to the insufficient number of its images in the haps Lora training dataset, the model failed to converge properly. As a result, I retrained a new Lora and took the opportunity to test high-resolution parameters during the training process.
Negative prompt :
unfinished, monochrome, greyscale, signature, url, artist name, username, text, watermark, English text, bad quality, worst quality, worst detail, sketch, censor, Description
{
"engine": "kohya",
"unetLR": 1,
"clipSkip": 2,
"loraType": "lora",
"keepTokens": 1,
"networkDim": 16,
"numRepeats": 4,
"resolution": 2048,
"lrScheduler": "cosine",
"minSnrGamma": 5,
"noiseOffset": 0.1,
"targetSteps": 1056,
"enableBucket": true,
"networkAlpha": 8,
"optimizerType": "Prodigy",
"textEncoderLR": 1,
"maxTrainEpochs": 33,
"shuffleCaption": true,
"trainBatchSize": 4,
"flipAugmentation": false,
"lrSchedulerNumCycles": 3
}
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.

