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rct_model

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rct_model

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Use vae for encoding and decoding for training
9bde8da

frutiemax commited on

Use float16 for inference and float32 for training
42f8b67

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Test with one tree unconditional
82ebedf

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Use SGD and text encoder/tokenizer
6fa0b52

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Register modules in pipeline
5961f34

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Fix other things...
a150f0f

frutiemax commited on

Fix pipeline for new latent and sample sizes
4f25fc2

frutiemax commited on

Switch to stabilityai/sd-vae-ft-mse
2104644

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Use VAE to speed up inference
054faf7

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Revert to not using accelerated
21640c8

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Push unet and scheduler outside of pipeline
a4c8091

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Use accelerate
f6f5f48

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Fix batch size
1618027

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Fix training
04d70cd

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Use ConditionalUnetModel
88deab4

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Training code
d751051

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Push initial pipeline
2a7e546

frutiemax commited on

initial commit
664819e

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