Comments (17)
bmaltais
commented on July 17, 2024
I just checked and when I select an SDXL and specify it as being SDXL the options are showing:
As far as the 2nd one I will need to do more research... but this is the 1st time it is reported... so maybe the issue is linked to the SDXL option selection for the model?
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b-fission
commented on July 17, 2024
It seems the entire "SDXL Specific Parameters" group is missing in the master branch (and release) versions. I even searched the source code for "fused backward pass" and got nothing.
When I switched to dev, those options do show up.
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bmaltais
commented on July 17, 2024
There are many fixes in dev. I am waiting for Kohya to merge dev to main to promote the dev branch to master. In the mean time you can use the dev branch as it should be more stable than master at this point.
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Related Issues (20)
- 49 sec/it on 4090 HOT 3
- ValueError: Key backend: 'module://matplotlib_inline.backend_inline' is not a valid value for backend HOT 1
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- ValueError: Too many values to unwrap (expected 2)...how to fix
- {Help} Network Rank Slider and No Half VAE checkbox is not showing up in my Kohya_ss after Installation. HOT 1
- AttributeError: 'NoneType' object has no attribute 'dtype' HOT 2
- Additional Parameters "Scheduler args" NOT Saved in Toml file AND NOT passed HOT 8
- No json files on training HOT 4
- WD14 Tagger Not Recognizing CUDA After Update? HOT 12
- sdxl training HOT 4
- unable to train sdxl lora using runpod training stops without throwing error HOT 2
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- latent cache error RuntimeError: NaN detected in latents
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- Textual Inversion Broken | SDXL not training at all, SD1.5 other error HOT 7
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