Name: ClearRealityV1 Soft + Normal
License: Apache 2.0
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
