---
license: cc-by-nc-sa-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
---

**Name:** ClearRealityV1 Soft + Normal

**License:** CC BY-NC-SA 4.0

**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