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 : <pre><code>unfinished, monochrome, greyscale, signature, url, artist name, username, text, watermark, English text, bad quality, worst quality, worst detail, sketch, censor, </code></pre>

o'malley (by haps)[Illustrious]

{ "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}

o_malley_r1.safetensors

v1.0

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,

Files with SHA256: 424b4dc8ca2ea7015c04f3d7f8fbe6bf58b0f931c8f977ea33ce105fc1c13b59