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mrq
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vall-e
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478aea0e8c
vall-e
/
vall_e
/
models
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mrq
478aea0e8c
tweaks
2025-03-28 19:49:54 -05:00
..
arch
tweaks
2025-03-28 19:49:54 -05:00
__init__.py
nothing could go wrong part 2 (reverted and rewrote commits since there was a nasty regression)
2025-03-25 23:06:16 -05:00
ar_nar_v2.py
cannot get segmented mask to actually work without gradients exploding (need to find a different way to do duration prediction...)
2025-03-27 00:51:41 -05:00
ar_nar.py
nothing could go wrong part 2 (reverted and rewrote commits since there was a nasty regression)
2025-03-25 23:06:16 -05:00
base_v2.py
tweaks
2025-03-28 19:49:54 -05:00
base.py
nothing could go wrong part 2 (reverted and rewrote commits since there was a nasty regression)
2025-03-25 23:06:16 -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