Comments (6)
Looks like colab doesn't have enough memory to support new features, working on it.
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Appreciate the response. I'm using colab pro, still get the error.
I'm curious, if I change test.yaml to link to the full nai cktp (nsfw), will it work when I train and convert? ๐ฎ@Mikubill
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@wktra any checkpoint should work, as long as you have them downloaded and converted to diffusers format
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@Mikubill I'm excited to see this working! ๐thank you!
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Fixed in 94aef9f
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@Mikubill It's running for 84 epochs so far using the default cpkt it downloads. how long does this process take approximately? Just curious ๐
nevermind! it goes for 100 epochs! almost 3 hours :)
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Related Issues (20)
- Does it work? Output images are all noise. HOT 2
- AttributeError: 'StableDiffusionModel' object has no attribute 'dataset'
- Distributed training stuck at: Downloading parameters from peer
- Colab Issue
- Conversion fails
- WARNING:root:Only 108 Image will be uploaded.
- Some questions. HOT 2
- KeyError: 'time_embedding.linear_1.weight' HOT 2
- AttributeError: 'StableDiffusionModel' object has no attribute 'data_sampler' HOT 1
- ValueError: invalid literal for int() with base 10: '16-true' HOT 1
- colab issue DKW
- SDXL checkpoint format/compatibility HOT 1
- DPO training issues HOT 1
- cannot resume latest checkpoint when training with train_sd15.yaml --resume
- Batchsize >1 is currently broken. HOT 1
- resume does not work with use_ema: True
- Linking the nsfw model
- [Feature Request] Converting/Using custom non-diffusers SD VAE .ckpt HOT 5
- Colab TPU Failed HOT 1
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