Buckets:

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YAVARSH

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ClearRealityV1-bucket

Name: ClearRealityV1 Soft + Normal

License: Apache 2.0

Link: https://mega.nz/folder/Xc4wnC7T#yUS5-9-AbRxLhpdPW_8f2w

Model Architecture: SPAN

Scale: 4

Purpose: Realistic images of humans, foliage, trees, buildings, etc.

Iterations: 300k (over multiple models)

batch_size: 12-20

HR_size: 128-256

Epoch: 40?

Dataset: My own UltraSharpV2 dataset, my 8k dataset (v2), Nomos8k, and FaceUp

Dataset_size: 19k tiles

OTF Training No (made with datasetDestroyer)

Pretrained_Model_G: Official pretrain

Description: Nice to release a model again! This one is intended for realistic imagery, and works especially well on faces, hair, and nature shots. I trained this model on SPAN, which as of the time of release, you'll need chaiNNer-nightly for. I aimed for a softer, more natural look for this model with as few artifacts as possible.

In addition to the Normal model, I've included a "soft" model. The Soft model is... softer. Basically it was an earlier version of the model with a more limited dataset. It produces more natural output on games or rendered content, but suffers a bit more with realistic stuff.

Note: In shots with DOF (depth of field) or bokeh, unfortunately there will be artifacts. Sorry