Everyone's favorite short king.This is model is the culmination of multiple Rocket Raccoon datasets I've prepared over the past while. Resulting in a what I feel is a great representation of the character that is not limited to one style or concept. For the "formula", I used the following, along with their respective tags. mcu r0cket - 142 images from the MCU movies. e1dos r0cket - 56 images from the Eidos game. s1dekick r0cket - 45 images from the artist Sidekick. 92 images from various other fanarts and nsfw art. For the MCU, Eidos, and Sidekick datasets, I kept the same tags. So you should be able to skew your look towards one of those versions if you include those datasets' trigger words. I intentionally left out the Neelix dataset as I felt it was a bit too different. I do still recommend checking those versions out if you're only interested in those.

Rocket Raccon

Trained with the below params: 335 images: { "engine": "kohya", "unetLR": 0.0005, "clipSkip": 2, "loraType": "lora", "keepTokens": 1, "networkDim": 16, "numRepeats": 5, "resolution": 1024, "lrScheduler": "cosine", "minSnrGamma": 5, "noiseOffset": 0.1, "targetSteps": 6282, "enableBucket": true, "networkAlpha": 8, "optimizerType": "Prodigy", "textEncoderLR": 0.00005, "maxTrainEpochs": 15, "shuffleCaption": true, "trainBatchSize": 4, "flipAugmentation": false, "lrSchedulerNumCycles": 3}

Files with SHA256: 78123bf554b936fef6ba2ac56736b2d41e6c5838caa178e9d79cd309b7d2a88a