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The best place to find AI Upscaling models
OpenModelDB is a community driven database of AI Upscaling models. We aim to provide a better way to find and compare models than existing sources.
Found 630 models
MoSR
2x
2x-AnimeSharpV2_MoSR_Sharp
by Kim2091
GitHub Link: https://github.com/Kim2091/Kim2091-Models/releases/tag/2x-AnimeSharpV2_Set
This is my first anime model in years. Hopefully you guys can find a good use-case for it. Included are 4 models:
1. RealPLKSR (Higher quality, slower)
2. MoSR (Lower quality, faster)
There are Sharp and Soft versions of both
When to use each:
- __Sharp:__ For heavily degraded sources. Sharp models have issues depth of field but are best at removing artifacts
- __Soft:__ For cleaner sources. Soft models preserve depth of field but may not remove other artifacts as well
__Notes:__
- MoSR doesn't work in chaiNNer currently
- To use MoSR:
1. Use the ONNX version in tools like VideoJaNai
2. Update spandrel in the latest version of ComfyUI
The ONNX version may produce slightly different results than the .pth version. If you have issues, try the .pth model.
MoSR
2x
2x-AnimeSharpV2_MoSR_Soft
by Kim2091
GitHub Link: https://github.com/Kim2091/Kim2091-Models/releases/tag/2x-AnimeSharpV2_Set
This is my first anime model in years. Hopefully you guys can find a good use-case for it. Included are 4 models:
1. RealPLKSR (Higher quality, slower)
2. MoSR (Lower quality, faster)
There are Sharp and Soft versions of both
When to use each:
- __Sharp:__ For heavily degraded sources. Sharp models have issues depth of field but are best at removing artifacts
- __Soft:__ For cleaner sources. Soft models preserve depth of field but may not remove other artifacts as well
__Notes:__
- MoSR doesn't work in chaiNNer currently
- To use MoSR:
1. Use the ONNX version in tools like VideoJaNai
2. Update spandrel in the latest version of ComfyUI
The ONNX version may produce slightly different results than the .pth version. If you have issues, try the .pth model.
RealPLKSR
2x
2x-AnimeSharpV2_RPLKSR_Sharp
by Kim2091
GitHub Link: https://github.com/Kim2091/Kim2091-Models/releases/tag/2x-AnimeSharpV2_Set
This is my first anime model in years. Hopefully you guys can find a good use-case for it. Included are 4 models:
1. RealPLKSR (Higher quality, slower)
2. MoSR (Lower quality, faster)
There are Sharp and Soft versions of both
When to use each:
- __Sharp:__ For heavily degraded sources. Sharp models have issues depth of field but are best at removing artifacts
- __Soft:__ For cleaner sources. Soft models preserve depth of field but may not remove other artifacts as well
__Notes:__
- MoSR doesn't work in chaiNNer currently
- To use MoSR:
1. Use the ONNX version in tools like VideoJaNai
2. Update spandrel in the latest version of ComfyUI
The ONNX version may produce slightly different results than the .pth version. If you have issues, try the .pth model.
RealPLKSR
2x
2x-AnimeSharpV2_RPLKSR_Soft
by Kim2091
GitHub Link: https://github.com/Kim2091/Kim2091-Models/releases/tag/2x-AnimeSharpV2_Set
This is my first anime model in years. Hopefully you guys can find a good use-case for it. Included are 4 models:
1. RealPLKSR (Higher quality, slower)
2. MoSR (Lower quality, faster)
There are Sharp and Soft versions of both
When to use each:
- __Sharp:__ For heavily degraded sources. Sharp models have issues depth of field but are best at removing artifacts
- __Soft:__ For cleaner sources. Soft models preserve depth of field but may not remove other artifacts as well
__Notes:__
- MoSR doesn't work in chaiNNer currently
- To use MoSR:
1. Use the ONNX version in tools like VideoJaNai
2. Update spandrel in the latest version of ComfyUI
The ONNX version may produce slightly different results than the .pth version. If you have issues, try the .pth model.
RealPLKSR_dysample
4x
4x-PBRify_RPLKSRd_V3
by Kim2091
PBRify Github: https://github.com/Kim2091/PBRify_Remix
Release Link: https://github.com/Kim2091/Kim2091-Models/releases/tag/4x-PBRify_RPLKSRd_V3
This update brings a new upscaling model, 4x-PBRify_RPLKSRd_V3. This model is roughly 8x faster than the current DAT2 model, while being *higher quality*. It produces far more natural detail, resolves lines and edges more smoothly, and cleans up compression artifacts better.
As a result of those improvements, PBR is also much improved. It tends to be clearer with less defined artifacts.
However, this model is currently **only compatible with ComfyUI**. chaiNNer has not yet been updated to support this architecture.
More Comparisons
MoSR
2x
2xAoMR_mosr
by Helaman
A 2x model for A 2x mosr upscaling model for game textures .
Link to Github Release with more infos to the process
2xAoMR_mosr
Scale: 4
Architecture: MoSR
Architecture Option: mosr
Author: Philip Hofmann
License: CC-BY-0.4
Subject: Game Textures
Input Type: Images
Release Date: 21.09.2024 (dd/mm/yy)
Dataset: Game Textures from Age of Mythology: Retold
Dataset Size: 13'847
OTF (on the fly augmentations): No
Pretrained Model: 4xNomos2_hq_mosr
Iterations: 510'000
Batch Size: 4
Patch Size: 64
## Description:
In short: A 2x game texture mosr upscaling model, trained on and for (but not limited to) Age of Mythology: Retold textures.
Since I have been playing Age of Mythology: Retold (casual player), I thought it would be interesting to train an single image super resolution model on (and for) game textures of AoMR, but this model should be usable for other game textures aswell.
This is a 2x model, since the biggest texture images are already 4096x4096, I thought going 4x on those would be overkill (also there are already 4x game texture upscaling models, so this model can be used for similiar cases where 4x is not needed).
Model Showcase:
Slowpics
RealPLKSR
4x
4xPurePhoto-RealPLSKR
by asterixcool
Skilled in working with cats, hair, parties, and creating clear images. Also proficient in resizing photos and enlarging large, sharp images. Can effectively improve images from small sizes as well (300px at smallest on one side, depending on the subject). Experienced in experimenting with techniques like upscaling with this model twice and then reducing it by 50% to enhance details, especially in features like hair or animals.
DRCT
4x
4xNomos2_hq_drct-l
by Helaman
A 4x model for Upscaler .
Link to Github Release
4xNomos2_hq_drct-l
Scale: 4
Architecture: DRCT
Architecture Option: drct_l
Author: Philip Hofmann
License: CC-BY-0.4
Subject: Photography
Input Type: Images
Release Date: 08.09.2024
Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: DRCT-L_X4
Iterations: 200'000
Batch Size: 2
Patch Size: 64
Description:
An drct-l 4x upscaling model, similiar to the 4xNomos2_hq_atd, 4xNomos2_hq_dat2 and 4xNomos2_hq_mosr models, trained and for usage on non-degraded input to give good quality output.
Model Showcase:
Slowpics
ATD
4x
4xNomos2_hq_atd
by Helaman
A 4x model for Upscaler .
Link to Github Release
4xNomos2_hq_atd
Scale: 4
Architecture: ATD
Architecture Option: atd
Author: Philip Hofmann
License: CC-BY-0.4
Subject: Photography
Input Type: Images
Release Date: 05.09.2024
Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: 003_ATD_SRx4_finetune
Iterations: 180'000
Batch Size: 2
Patch Size: 48
Norm: true
Description:
An atd 4x upscaling model, similiar to the 4xNomos2_hq_dat2 or 4xNomos2_hq_mosr models, trained and for usage on non-degraded input to give good quality output.
DAT
4x
4xNomos2_hq_dat2
by Helaman
A 4x model for Upscaler .
Link to Github Release
# 4xNomos2_hq_dat2
Scale: 4
Architecture: DAT
Architecture Option: dat2
Author: Philip Hofmann
License: CC-BY-0.4
Subject: Photography
Input Type: Images
Release Date: 29.08.2024
Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: DAT_2_x4
Iterations: 140'000
Batch Size: 4
Patch Size: 48
Description:
A dat2 4x upscaling model, similiar to the 4xNomos2_hq_mosr model, trained and for usage on non-degraded input to give good quality output.
I scored 7 validation outputs of each of the 21 checkpoints (10k-210k) of this model training with 68 metrics.
The metric scores can be found in this google sheet.
The corresponding image files for this scoring can be found here
Screenshot of the google sheet:
!|100
Release checkpoint has been selected by looking at the scores, manually inspecting, and then getting responses on discord to this quick visual test, A B or C, which denote different checkpoints: https://slow.pics/c/8Akzj6rR
Checkpoint B is the one released here, but you can also try out Checkpoint A or Checkpoint C if you like them better.
## Model Showcase:
Slowpics
RealPLKSR
2x
Text2HD v.1
by asterixcool
A 2x model for Upscale text in very low quality to normal quality..
The upscale model is specifically designed to enhance lower-quality text images, improving their clarity and readability by upscaling them by 2x. It excels at processing moderately sized text, effectively transforming it into high-quality, legible scans. However, the model may encounter challenges when dealing with very small text, as its performance is optimized for text of a certain minimum size. For best results, input images should contain text that is not excessively small.
RealPLKSR
2x
VHS2HD
by asterixcool
A 2x model for VHS Restoration.
An advanced VHS recording model designed to enhance video quality by reducing artifacts such as haloing, ghosting, and noise patterns. Optimized primarily for PAL resolution (NTSC might work good as well).