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ecker
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vall-e
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a9d2faf2d7
vall-e
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vall_e
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models
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mrq
a9d2faf2d7
all I can do now until I wait for the model to (re)train for pure NAR
2024-11-09 22:57:34 -06:00
..
arch
This better work
2024-11-09 18:04:59 -06:00
__init__.py
UGH
2024-11-05 22:13:58 -06:00
ar_nar.py
all I can do now until I wait for the model to (re)train for pure NAR
2024-11-09 22:57:34 -06:00
ar.py
all I can do now until I wait for the model to (re)train for pure NAR
2024-11-09 22:57:34 -06:00
base.py
all I can do now until I wait for the model to (re)train for pure NAR
2024-11-09 22:57:34 -06:00
experimental.py
moved prints to use logger, edited readme (fused_attn doesnt seem stable for training)
2024-08-29 13:27:16 -05:00
lora.py
naive model offloading support (handles automatically splitting parts of the model to requested device per memory constraints, either inferred or requested in the yaml, input tensors are automatically migrated to the right device, it SEEMS to work for training under the test trainer when split between GPU and CPU) (this was specifically only because that Flux imagegen model released so I can test it there)
2024-08-01 20:12:06 -05:00
nar.py
all I can do now until I wait for the model to (re)train for pure NAR
2024-11-09 22:57:34 -06:00