Self-trained models

[Phhofm]

Through your VCISR repo I had also found this inference repo/code, nice :)

I simply wanted to train two models for it and show them here, so I made a Real-CUGAN model, and a Shallow ESRGAN model. But these have been trained with the Real-ESRGAN otf pipeline only and therefore cannot handle video compression / have not been trained for video compression in their current state.

---

Name: 2xHFA2Real-CUGAN Download Folder License: CC BY 4.0 Network: Real-CUGAN Scale: 2 Purpose: 2x anime upscaler Iterations: 151'000 epoch: 69 batch_size: 6 HR_size: 128 - 256 Dataset: hfa2k Number of train images: 2568 OTF Training: Yes Pretrained_Model_G: up2x-latest-conservative

Slow Pics examples: Example 1 Example 2 Ludvae1 Ludvae2

---

Name: 2xHFA2kShallowESRGAN Download Folder License: CC BY 4.0 Network: Shallow ESRGAN (6 Blocks) Scale: 2 Purpose: 2x anime upscaler Iterations: 180'000 epoch: 167 batch_size: 12 HR_size: 128 Dataset: hfa2k Number of train images: 2568 OTF Training: Yes Pretrained_Model_G: None

Slow Pics examples:
Example 1
Example 2
Ludvae1
Ludvae2

---