Comments (2)
dancingmadkefka
commented on May 3, 2024
2
Well I see now that it is not something that is ready for use, rather an attempt to start replicating the results of the paper. Would just be helpful to mention this at the top, as an intro, that's all.
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dancingmadkefka
commented on May 3, 2024
1
Would also like a bit more details. Seems to be so common on github to just throw stuff up there with totally barebones instructions, without saying "this is what this project does, this is how to use it, etc". More common to just have a few lines of commands and that's it, not sure why that's so common, is it so hard to write another line or two?
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Related Issues (20)
- Possible Discrepancies HOT 3
- The training code not deal with paired data yet? HOT 2
- [Question] About the upscaler HOT 2
- Multi GPU training HOT 4
- Multi GPU with gradient accumulation
- [Request] Please provide a replicate.com version
- Confused about this project?
- NaN losses after hours of training (UPSAMPLER) HOT 16
- Weights of Gigagan Upscaler HOT 1
- Turn on/off gradients computation between generator/discriminator HOT 2
- Wrong order of resolutions list HOT 1
- to_rgb branch has only 1 learnable kernel HOT 7
- Gradient Penalty is very high in the start HOT 10
- How to use this model for SR ?
- Has Anyone Trained This Model Yet? HOT 2
- The text-to-image tasks
- Config to reproduce paper
- question about code in unet_upsampler.py HOT 1
- the loss became nan after a few train steps HOT 2
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