W3BC0R3 Aesthetic

Prompt
Webcore Aesthetic, Frutiger Aero style, Webcore Font Reading BUY NOW

Model description

Images trained on 1990s and 2000s webcore aesthetic.

Training settings are as follows:

{ "unetLR": 0.0005, "clipSkip": 1, "loraType": "lora", "keepTokens": 1, "networkDim": 32, "numRepeats": 3, "resolution": 1024, "lrScheduler": "cosine_with_restarts", "minSnrGamma": 5, "targetSteps": 623, "enableBucket": true, "networkAlpha": 16, "optimizerArgs": "weight_decay=0.1", "optimizerType": "AdamW8Bit", "textEncoderLR": 0.00005, "maxTrainEpochs": 10, "shuffleCaption": true, "trainBatchSize": 4, "flipAugmentation": true, "lrSchedulerNumCycles": 3 }

We used CivitAI trainer for this, probably didn't need to use text encoder in the end, but a lot of times it seems to not be an issue. This has NOT been tested yet, we're uploading so when we get a chance TO test them, we'll release them on Civitai.

Previews are screenshots from the samples during training, please note these may not be the actual outputs.

Trigger words

You should use Webcore Aesthetic to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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Usage Guidelines

Do: Use XYPHER'S Tool to find metadata. Reuse, Recycle, and Merge! Credit creators & keep metadata for inspiration.
Don't: Re-upload this model.

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W3BC0R3_Aesthetic