Comments (3)
I did a quick and naive check between this and the Danbooru Interrogator in Automatic1111's webui and compared with the actual tags
Wow, thank you! Independent validation is incredibly helpful.
Is Danbooru Interrogator still using the old DeepDanbooru model? There are much, much better ones now like SmilingWolf's work, which probably performs better on anime images than this model currently anyway. I'd be happy for this model to pass that watermark some day, but the main focus of the JoyTag model has been on expanding into real life images for now.
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Just on the the topic of accuracy and such. We've run into danbooru tagging accuracy issues. Whilst it might be good, its not great. Also, given the ratio of anime to realistic that this model is using more realistic tagging in DB style will likely be needed, either way this is a positive step. 👍
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Is Danbooru Interrogator still using the old DeepDanbooru model?
I think so!
There are much, much better ones now like SmilingWolf's work, which probably performs better on anime images than this model currently anyway.
I noticed that repo hasn't updated in a while, so I didn't realize it was better. Although, the one better seem to be an ensemble?
I'd be happy for this model to pass that watermark some day, but the main focus of the JoyTag model has been on expanding into real life images for now.
I understand that completely. This was just a curious experiment to see how the model performed :)
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Related Issues (12)
- Questions about choice of tags HOT 1
- Versions of the dependencies? HOT 1
- On validation metrics and thresholds HOT 2
- ONNX format model? HOT 7
- Training Support
- Great work. Will you release finetune code? HOT 3
- URL for download is broken
- where can I find top_tags.txt ? HOT 1
- This is a great project, and I am concerned about when it can be updated,
- `torch.backends.cuda.sdp_kernel()` is deprecated. use `torch.nn.attention.sdpa_kernel()`
- Great project! I created a .py script that tags all files in an \input\ folder
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