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ACE-Step-CPU

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ACE-Step-CPU

Commit History

Apr 22

11:54
monkey-patch torchaudio.load to use soundfile backend

Nekochu

afccbc0
11:45
remove torchcodec (needs FFmpeg 5.x), keep soundfile backend

Nekochu

63d7cb8
09:42
add torchcodec + ffmpeg for torchaudio audio loading

Nekochu

f1f383b
07:13
add soundfile + libsndfile1 for torchaudio backend

Nekochu

dd7a793

Apr 21

16:24
add all training deps: diffusers lightning numpy tensorboard

Nekochu

eb1b926
16:22
add torchaudio dep for training preprocess

Nekochu

9dc4031
16:07
add loguru dep for training preprocess

Nekochu

d89a224
15:38
install gradio[mcp] for mcp_server support

Nekochu

eb0e7f8
15:24
add git to runtime image for ace-step source clone

Nekochu

0f0b7b0
15:18
add LoRA training, fix css kwarg

Nekochu

625132a
14:57
full app: CLI + Gradio + training placeholder + MCP

Nekochu

72e4b69
14:52
rewrite app.py for ace-server HTTP API, no torch

Nekochu

2dc2899
14:43
copy all shared libs including versioned symlinks

Nekochu

567a93e
14:32
add pkg-config for BLAS detection

Nekochu

fd22b19
14:26
switch to acestep.cpp GGUF: XL turbo Q4_K_M + 4B LM Q5_K_M

Nekochu

fccaf48
14:10
clickable title

Nekochu

fe00878
14:08
slim title

Nekochu

1e6f1c3
14:05
compact grid UI, 4B default, show training model

Nekochu

4b376ab
14:03
force float32 on training model for CPU

Nekochu

562fa54
03:51
fix: LoRA rank param is 'r' not 'rank'

Nekochu

dece91f
03:44
fix training: use LoRAConfigV2 instead of Union type alias

Nekochu

a6b0e73
02:46
add torchcodec for training audio loading

Nekochu

2e461fa
02:27
step 7: real app.py

Nekochu

dae27d4
02:25
step 6: +numba (all deps)

Nekochu

2da29c2
02:20
step 5: +vector-quantize-pytorch

Nekochu

3280257
02:17
step 4: +peft +torchvision

Nekochu

27ddf91
02:14
step 3: core deps without heavy ones

Nekochu

7de0ea2
02:12
step label

Nekochu

f0eaee4
02:08
step 2: torch cpu-only

Nekochu

9e41820
02:04
step 1: bare gradio

Nekochu

5c82a90
02:01
initial commit

Nekochu

Verified signature
466cba7

Commit History

Apr 22

monkey-patch torchaudio.load to use soundfile backend

remove torchcodec (needs FFmpeg 5.x), keep soundfile backend

add torchcodec + ffmpeg for torchaudio audio loading

add soundfile + libsndfile1 for torchaudio backend

Apr 21

add all training deps: diffusers lightning numpy tensorboard

add torchaudio dep for training preprocess

add loguru dep for training preprocess

install gradio[mcp] for mcp_server support

add git to runtime image for ace-step source clone

add LoRA training, fix css kwarg

full app: CLI + Gradio + training placeholder + MCP

rewrite app.py for ace-server HTTP API, no torch

copy all shared libs including versioned symlinks

add pkg-config for BLAS detection

switch to acestep.cpp GGUF: XL turbo Q4_K_M + 4B LM Q5_K_M

clickable title

slim title

compact grid UI, 4B default, show training model

force float32 on training model for CPU

fix: LoRA rank param is 'r' not 'rank'

fix training: use LoRAConfigV2 instead of Union type alias

add torchcodec for training audio loading

step 7: real app.py

step 6: +numba (all deps)

step 5: +vector-quantize-pytorch

step 4: +peft +torchvision

step 3: core deps without heavy ones

step label

step 2: torch cpu-only

step 1: bare gradio

initial commit