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mrq
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vall-e
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a65c8144f4
vall-e
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vall_e
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models
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mrq
a65c8144f4
with the amount of tweaks I keep making I could have probably had the nvidia/audio-codec-44khz model realized already......
2025-02-13 18:38:40 -06:00
..
arch
agony
2025-02-12 00:18:24 -06:00
__init__.py
2024-12-26 21:42:17 -06:00
ar_nar.py
with the amount of tweaks I keep making I could have probably had the nvidia/audio-codec-44khz model realized already......
2025-02-13 18:38:40 -06:00
base.py
with the amount of tweaks I keep making I could have probably had the nvidia/audio-codec-44khz model realized already......
2025-02-13 18:38:40 -06:00
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