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mrq
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vall-e
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9564ecda43
vall-e
/
vall_e
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models
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mrq
9564ecda43
wrapper attention class for other sdpa backends + xformers seems to have broke...
2024-08-03 15:12:11 -05:00
..
arch
wrapper attention class for other sdpa backends + xformers seems to have broke...
2024-08-03 15:12:11 -05:00
__init__.py
sanity cleanup: moved experimental features under its own thing
2024-06-30 10:37:33 -05:00
ar_nar.py
fixes, throw an exception when using NAR only model with non-unified position IDs, since for some reason it outputs garbage for the NAR
2024-08-02 22:25:49 -05:00
base.py
wrapper attention class for other sdpa backends + xformers seems to have broke...
2024-08-03 15:12:11 -05:00
experimental.py
added what I think is DRY sampling
2024-07-29 19:15:07 -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
tweaks for the NAR-len model, maybe
2024-08-03 08:40:39 -05:00