From 3da625432ef8a910c0bdf57792ee2b020dce5d98 Mon Sep 17 00:00:00 2001 From: mi804 <1576993271@qq.com> Date: Thu, 23 Apr 2026 18:09:16 +0800 Subject: [PATCH] path --- .../ace_step/model_inference/acestep-v15-base-CoverTask.py | 4 ++-- .../ace_step/model_inference/acestep-v15-base-RepaintTask.py | 4 ++-- .../model_inference_low_vram/acestep-v15-base-CoverTask.py | 4 ++-- .../model_inference_low_vram/acestep-v15-base-RepaintTask.py | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/examples/ace_step/model_inference/acestep-v15-base-CoverTask.py b/examples/ace_step/model_inference/acestep-v15-base-CoverTask.py index 9b8a8a2..bfb4bd8 100644 --- a/examples/ace_step/model_inference/acestep-v15-base-CoverTask.py +++ b/examples/ace_step/model_inference/acestep-v15-base-CoverTask.py @@ -20,10 +20,10 @@ lyrics = '[Intro - Synth Brass Fanfare]\n\n[Verse 1]\n黑夜里的风吹过耳 dataset_snapshot_download( dataset_id="DiffSynth-Studio/diffsynth_example_dataset", local_dir="data/diffsynth_example_dataset", - allow_file_pattern="ace_step/acestep-v15-base/audio.wav", + allow_file_pattern="ace_step/acestep-v15-base-CoverTask/audio.wav", ) -src_audio, sr = read_audio("data/diffsynth_example_dataset/ace_step/acestep-v15-base/audio.wav", resample=True, resample_rate=pipe.vae.sampling_rate) +src_audio, sr = read_audio("data/diffsynth_example_dataset/ace_step/acestep-v15-base-CoverTask/audio.wav", resample=True, resample_rate=pipe.vae.sampling_rate) # audio_cover_strength controls the steps of doing cover tasks. [0, num_inference_steps * audio_cover_strength] steps will be cover steps, and the rest will be regular text-to-music generation steps. # denoising_strength controls how the output audio is influenced by the source audio in cover tasks. audio = pipe( diff --git a/examples/ace_step/model_inference/acestep-v15-base-RepaintTask.py b/examples/ace_step/model_inference/acestep-v15-base-RepaintTask.py index 68a0a36..9e10c7e 100644 --- a/examples/ace_step/model_inference/acestep-v15-base-RepaintTask.py +++ b/examples/ace_step/model_inference/acestep-v15-base-RepaintTask.py @@ -20,10 +20,10 @@ lyrics = '[Intro - Synth Brass Fanfare]\n\n[Verse 1]\n黑夜里的风吹过耳 dataset_snapshot_download( dataset_id="DiffSynth-Studio/diffsynth_example_dataset", local_dir="data/diffsynth_example_dataset", - allow_file_pattern="ace_step/acestep-v15-base/audio.wav", + allow_file_pattern="ace_step/acestep-v15-base-RepaintTask/audio.wav", ) -src_audio, sr = read_audio("data/diffsynth_example_dataset/ace_step/acestep-v15-base/audio.wav", resample=True, resample_rate=pipe.vae.sampling_rate) +src_audio, sr = read_audio("data/diffsynth_example_dataset/ace_step/acestep-v15-base-RepaintTask/audio.wav", resample=True, resample_rate=pipe.vae.sampling_rate) # repainting_ranges are in seconds, and will be converted to frames internally in the pipeline. The negative value in repainting_ranges means the padding from the start of the audio. # For example, repainting_ranges=[(-10, 30), (160, 200)] means we want to repaint the audio from -10s to 30s (with 10s padding before the start) and from 160s to 200s. The non-existent parts will be padded with silence. # Repainting strength denotes the intensity of repainting area, where 0 means no repainting (keep the original audio) and 1 means full repainting. diff --git a/examples/ace_step/model_inference_low_vram/acestep-v15-base-CoverTask.py b/examples/ace_step/model_inference_low_vram/acestep-v15-base-CoverTask.py index 2ae06fe..c0e9e5c 100644 --- a/examples/ace_step/model_inference_low_vram/acestep-v15-base-CoverTask.py +++ b/examples/ace_step/model_inference_low_vram/acestep-v15-base-CoverTask.py @@ -32,10 +32,10 @@ lyrics = '[Intro - Synth Brass Fanfare]\n\n[Verse 1]\n黑夜里的风吹过耳 dataset_snapshot_download( dataset_id="DiffSynth-Studio/diffsynth_example_dataset", local_dir="data/diffsynth_example_dataset", - allow_file_pattern="ace_step/acestep-v15-base/audio.wav", + allow_file_pattern="ace_step/acestep-v15-base-CoverTask/audio.wav", ) -src_audio, sr = read_audio("data/diffsynth_example_dataset/ace_step/acestep-v15-base/audio.wav", resample=True, resample_rate=pipe.vae.sampling_rate) +src_audio, sr = read_audio("data/diffsynth_example_dataset/ace_step/acestep-v15-base-CoverTask/audio.wav", resample=True, resample_rate=pipe.vae.sampling_rate) # audio_cover_strength controls the steps of doing cover tasks. [0, num_inference_steps * audio_cover_strength] steps will be cover steps, and the rest will be regular text-to-music generation steps. # denoising_strength controls how the output audio is influenced by the source audio in cover tasks. audio = pipe( diff --git a/examples/ace_step/model_inference_low_vram/acestep-v15-base-RepaintTask.py b/examples/ace_step/model_inference_low_vram/acestep-v15-base-RepaintTask.py index 6cbe107..6437e4a 100644 --- a/examples/ace_step/model_inference_low_vram/acestep-v15-base-RepaintTask.py +++ b/examples/ace_step/model_inference_low_vram/acestep-v15-base-RepaintTask.py @@ -32,10 +32,10 @@ lyrics = '[Intro - Synth Brass Fanfare]\n\n[Verse 1]\n黑夜里的风吹过耳 dataset_snapshot_download( dataset_id="DiffSynth-Studio/diffsynth_example_dataset", local_dir="data/diffsynth_example_dataset", - allow_file_pattern="ace_step/acestep-v15-base/audio.wav", + allow_file_pattern="ace_step/acestep-v15-base-RepaintTask/audio.wav", ) -src_audio, sr = read_audio("data/diffsynth_example_dataset/ace_step/acestep-v15-base/audio.wav", resample=True, resample_rate=pipe.vae.sampling_rate) +src_audio, sr = read_audio("data/diffsynth_example_dataset/ace_step/acestep-v15-base-RepaintTask/audio.wav", resample=True, resample_rate=pipe.vae.sampling_rate) # repainting_ranges are in seconds, and will be converted to frames internally in the pipeline. The negative value in repainting_ranges means the padding from the start of the audio. # For example, repainting_ranges=[(-10, 30), (160, 200)] means we want to repaint the audio from -10s to 30s (with 10s padding before the start) and from 160s to 200s. The non-existent parts will be padded with silence. # Repainting strength denotes the intensity of repainting area, where 0 means no repainting (keep the original audio) and 1 means full repainting.