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This was the output LoRA from CivitAI's rapid training. I don't believe the quality is quite as good as the one trained with my own parameter set, but figured I'd share it so people can compare.
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3.8K0 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
25.5K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.
Kind of a silly idea, but this LoRA is trained to produce images that resemble the heavily stylized end-credit sequence of the Disney film Tangled.
V1.0 was trained on 80 images with the following parameters:
{
"engine": "kohya",
"unetLR": 0.0005,
"clipSkip": 1,
"loraType": "lora",
"keepTokens": 0,
"networkDim": 2,
"numRepeats": 4,
"resolution": 1024,
"lrScheduler": "cosine_with_restarts",
"minSnrGamma": 5,
"noiseOffset": 0.1,
"targetSteps": 1920,
"enableBucket": true,
"networkAlpha": 16,
"optimizerType": "AdamW8Bit",
"textEncoderLR": 0,
"maxTrainEpochs": 12,
"shuffleCaption": false,
"trainBatchSize": 2,
"flipAugmentation": false,
"lrSchedulerNumCycles": 3
}

