Momwe mungagwiritsire ntchito Meta's MusicGen kwanuko popanda kukweza mafayilo pamtambo

¿Momwe mungagwiritsire ntchito Meta's MusicGen kwanuko? Kupanga nyimbo ndi luntha lochita kupanga popanda kudalira ntchito zakunja ndizotheka lero. Meta a MusicGen akhoza kuthamanga kwathunthu pa kompyutaPewani kukweza zitsanzo kapena zotsatira pamtambo ndikuwongolera deta yanu nthawi zonse. Bukhuli limakuyendetsani ndondomekoyi pang'onopang'ono, ndi malingaliro othandiza, malingaliro ogwirira ntchito, ndi malangizo omwe amapangitsa kusiyana konse.

Chimodzi mwazabwino zogwirira ntchito kwanuko ndi ufulu woyesera popanda malire, osadikirira ma seva odzaza, komanso mwachinsinsi. Mosiyana ndi mayankho amtambo monga ma SDK osungira ndi kutsimikizira opangidwira mapulogalamu am'manjaApa simukuyenera kugawira zomvera zanu kwa anthu ena: mitundu, zolimbikitsa ndi nyimbo zomwe zimapangidwa zimakhala ndi inu.

Kodi MusicGen ndi chiyani ndipo chifukwa chiyani mumayendetsa kwanuko?

MusicGen ndi mtundu wanyimbo wopangidwa ndi Meta womwe umatha kupanga zidutswa za mafotokozedwe a mawu ndipo, m'mitundu ina, kukonza zotsatira ndi nyimbo yolozera. Malingaliro awo amaphatikiza kusavuta kugwiritsa ntchito ndi mtundu wodabwitsa wa nyimbokupereka mitundu yosiyanasiyana yamitundu kuti igwirizane ndi kukhulupirika komanso kugwiritsa ntchito zida zamakina.

Kuyendetsa kompyuta kwanuko kuli ndi zofunikira zingapo. Choyamba, ZachinsinsiMawu anu, zitsanzo zanu, ndi nyimbo zanu siziyenera kusiya makina anu. Chachiwiri, liwiro lobwerezabwerezaSimudalira bandwidth pakukweza mafayilo kapena kumbuyo kwakutali. Ndipo potsiriza, kuwongolera kwaukadauloMutha kukonza zalaibulale, kuyimitsa zolemera, ndikugwira ntchito popanda intaneti popanda zodabwitsa kuchokera kukusintha kwa API.

Ndikofunika kumvetsetsa kusiyana ndi njira zosungira mitambo. Mwachitsanzo, mu mobile ecosystem, Firebase imapangitsa kukhala kosavuta kwa iOS ndi ena opanga nsanja kuti asunge mawu, zithunzi, ndi makanema. kudzera mu ma SDK olimba, kutsimikizika kokhazikika, komanso kulumikizana kwachilengedwe ndi Realtime Database yamawu. Njira iyi ndi yabwino mukafuna kulunzanitsa, mgwirizano, kapena kusindikiza mwachangu. Koma ngati chofunikira chanu sichikukweza chilichonse kumaseva akunjaKuthamanga MusicGen pa kompyuta yanu kumapewa sitepe imeneyo kwathunthu.

Anthu ammudzi nawonso amakuchitirani zabwino. M'malo otseguka komanso osadziwika bwino monga r/StableDiffusion, mawonekedwe a zida zopangira zida zochokera kumitundu yotulutsa zimagawidwa ndikukambidwa. Ndi malo osindikizira zidutswa, kuyankha mafunso, kuyambitsa zokambirana, kupereka ukadaulo, ndi kufufuza. Zonse zomwe zikuchitika mu nyimbo. Chikhalidwe chotsegukacho, chowunikira chimagwirizana bwino ndi kugwiritsa ntchito MusicGen kwanuko: mumayesa, kubwereza, kulemba, ndikuthandizira ena omwe amabwera pambuyo panu. Mumasankha mayendedwe ndi njira.

Ngati, mukufufuza, mupeza zidutswa zaukadaulo zosagwirizana ndi kuyimba kwa nyimbo - mwachitsanzo, midadada masitayelo a CSS kapena zidule zakutsogolo- Kumbukirani kuti izi sizoyenera kupanga mawu, koma nthawi zina zimawonekera pamasamba osonkhanitsira zida. Ndizothandiza kuyang'ana pa kudalira kwenikweni kwamawu ndi ma binaries omwe mungafune pa makina anu.

Chosangalatsa ndichakuti, mindandanda yazinthu zina imaphatikizapo zofotokozera zamaphunziro kapena malingaliro a polojekiti mumtundu wa PDF womwe umapezeka patsamba la yunivesite. Ngakhale zingakhale zosangalatsa kudzozaKuti muthamangitse MusicGen kwanuko, chofunikira ndi malo anu a Python, malaibulale omvera, ndi zolemera zachitsanzo.

Zofunikira ndi kukonzekera kwa chilengedwe

Musanapange cholemba choyamba, tsimikizirani kuti kompyuta yanu ikukwaniritsa zofunikira zochepa. Ndizotheka ndi CPU, koma zokumana nazo ndizabwinoko ndi GPU. Khadi lojambula lokhala ndi CUDA kapena Metal thandizo komanso osachepera 6-8 GB ya VRAM Zimalola kugwiritsa ntchito zitsanzo zazikulu komanso nthawi zomveka bwino.

Makina ogwiritsira ntchito ogwirizana: Windows 10/11, macOS (Apple Silicon yomwe imakonda kugwira ntchito bwino) ndi magawo wamba a Linux. Mufunika Python 3.9-3.11Mufunika woyang'anira chilengedwe (Conda kapena venv), ndi FFmpeg kuti muyike ma encoding/decoding audio. Pa NVIDIA GPUs, ikani PyTorch ndi CUDA yoyenera; pa macOS ndi Apple Silicon, a MPS amamanga; pa Linux, yomwe imagwirizana ndi madalaivala anu.

Miyezo yamitundu ya MusicGen imatsitsidwa mukayipempha koyamba kumalaibulale ofanana (monga Meta's Audiocraft). Ngati mukufuna kugwiritsa ntchito offlineKoperani kale ndi kukonza njira za m'deralo kuti pulogalamuyo isayese kupeza intaneti. Izi ndizofunikira kwambiri pogwira ntchito m'malo otsekedwa.

Ponena za kusungirako: ngakhale zida ngati Firebase Storage zidapangidwa kuti zisunge ndikupeza mafayilo pamtambo ndi kutsimikizika kwamphamvu ndi ma SDK, Cholinga chathu pano ndikusadalira mautumikiwoSungani mafayilo anu a WAV/MP3 m'mafoda akomweko ndikugwiritsa ntchito mawonekedwe a Git LFS ngati mukufuna kusintha kusintha pamabinari.

Pomaliza, konzani zomvera I/O. FFmpeg ndiyofunikira Zosintha kuti zikhale zokhazikika komanso zotsuka kapena zochepetsera zitsanzo. Yang'anani kuti ffmpeg ili mu PATH yanu ndikuti mutha kuyitanira kuchokera ku console.

Kuyika kwapang'onopang'ono kumalo akutali

Ndikupangira kayendedwe ka ntchito kogwirizana ndi Windows, macOS, ndi Linux pogwiritsa ntchito Conda. Ngati mukufuna venv, sinthani malamulowo. malinga ndi woyang'anira chilengedwe chanu.

# 1) Crear y activar entorno
conda create -n musicgen python=3.10 -y
conda activate musicgen

# 2) Instalar PyTorch (elige tu variante)
# NVIDIA CUDA 12.x
pip install --upgrade pip
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
# CPU puro (si no tienes GPU)
# pip install torch torchvision torchaudio
# Apple Silicon (MPS)
# pip install torch torchvision torchaudio

# 3) FFmpeg
# Windows (choco) -> choco install ffmpeg
# macOS (brew)   -> brew install ffmpeg
# Linux (apt)    -> sudo apt-get install -y ffmpeg

# 4) Audiocraft (incluye MusicGen)
pip install git+https://github.com/facebookresearch/audiocraft

# 5) Opcional: manejo de audio y utilidades extra
pip install soundfile librosa numpy scipy

Ngati malo anu salola kuyika kuchokera ku Git, mutha kufananiza chosungiramo ndikupanga kukhazikitsa kosinthika. Njira iyi imapangitsa kuti zikhale zosavuta kukhazikitsa zochita zinazake za kubalana.

git clone https://github.com/facebookresearch/audiocraft.git
cd audiocraft
pip install -e .

Yesani kuti zonse zimagwira ntchito mu CLI

Njira yachangu yotsimikizira kuyikako ndikuyambitsa chiwonetsero cha mzere wolamula chomwe chikuphatikizidwa mu Audiocraft. Izi zimatsimikizira kuti zolemera zikutsitsidwa komanso kuti njira yowonetsera ikuyamba. molondola mu CPU/GPU yanu.

python -m audiocraft.demo.cli --help

# Generar 10 segundos de música con un prompt simple
python -m audiocraft.demo.cli \
  --text 'guitarra acústica relajada con ritmo suave' \
  --duration 10 \
  --model musicgen-small \
  --output ./salidas/clip_relajado.wav

Kuthamanga koyamba kungatenge nthawi yayitali chifukwa kutsitsa mtunduwo. Ngati simukufuna maulumikizidwe otulukaChoyamba, tsitsani cheke ndikuziyika mu bukhu la cache lomwe likugwiritsidwa ntchito ndi malo anu (mwachitsanzo, mu ~/.cache/torch kapena yomwe yasonyezedwa ndi Audiocraft) ndikuletsa netiweki.

Kugwiritsa ntchito Python: Kukonza bwino

Kuti mupeze mayendedwe apamwamba kwambiri, pemphani MusicGen kuchokera ku Python. Izi zimakulolani kuti muyike mbewu, chiwerengero cha ofuna, ndi kutentha. ndikugwira ntchito ndi nyimbo zotsatiridwa ndi nyimbo zolozera.

from audiocraft.models import MusicGen
from audiocraft.data.audio import audio_write
import torch

# Elige el tamaño: 'small', 'medium', 'large' o 'melody'
model = MusicGen.get_pretrained('facebook/musicgen-small')
model.set_generation_params(duration=12, top_k=250, top_p=0.98, temperature=1.0)

prompts = [
    'sintetizadores cálidos, tempo medio, ambiente cinematográfico',
    'batería electrónica con bajo contundente, estilo synthwave'
]

with torch.no_grad():
    wav = model.generate(prompts)  # [batch, channels, samples]

for i, audio in enumerate(wav):
    audio_write(f'./salidas/track_{i}', audio.cpu(), model.sample_rate, format='wav')

Ngati mukufuna kuyimba ndi nyimbo, gwiritsani ntchito mtundu wanyimbo ndikudutsa kanema wanu. Njira iyi imalemekeza ma contour a nyimbo ndikutanthauziranso kalembedwe molingana ndi kufulumira.

from audiocraft.models import MusicGen
from audiocraft.data.audio import load_audio, audio_write

model = MusicGen.get_pretrained('facebook/musicgen-melody')
model.set_generation_params(duration=8)
melody, sr = load_audio('./refs/melodia.wav', sr=model.sample_rate)

prompts = ['árpegios brillantes con pads espaciales']
wav = model.generate_with_chroma(prompts, melody[None, ...])
audio_write('./salidas/con_melodia', wav[0].cpu(), model.sample_rate, format='wav')

Kugwira ntchito popanda intaneti komanso kuyang'anira zitsanzo

Kuti mugwiritse ntchito 100% yakomweko, tsitsani macheke ndikusintha masinthidwe kapena njira za Audiocraft kuti muwapeze. Sungani mndandanda wamitundu ndi zolemera pakupanganso ndikupewa kutsitsa mwangozi ngati muyimitsa netiweki.

• Sankhani kukula kwachitsanzo malinga ndi VRAM yanu: yaying'ono imawononga pang'ono ndikuyankha mwachangu.
• Sungani kopi yosunga zolemera pa disk yapafupi kapena kunja.
• Lembani zomwe Audiocraft idachita komanso zomwe PyTorch imamanga mumagwiritsa ntchito.

Ngati mumagwiritsa ntchito makina angapo, mutha kupanga galasi lamkati ndi malaibulale anu ndi zolemera. nthawi zonse pamaneti am'deralo komanso osawonetsa chilichonse pa intanetiNdizothandiza kwa magulu opanga omwe ali ndi ndondomeko zokhwima.

Njira zabwino kwambiri zophunzitsira ndi magawo

Ubwino wa chenjezo uli ndi mphamvu yayikulu. Imalongosola zida, tempo, mlengalenga, ndi zolemba zamalembedwe. Pewani zopempha zotsutsana ndikusunga mawu achidule koma odzaza ndi nyimbo.

• Zida zoimbira: gitala lamayimbidwe, piyano wapamtima, zingwe zofewa, ng'oma za lo-fi.
• Rhythm ndi tempo: 90 BPM, theka la nthawi, poyambira.
• Atmosphere: kanema, wapamtima, wakuda, wozungulira, wansangala.
• Kupanga: reverb wochenjera, kuponderezana pang'ono, kuchuluka kwa analogi.

Ponena za magawo: top_k ndi top_p control zosiyanasiyana; kutentha kumasintha zilandiridwenso. Yambani ndi makhalidwe abwino ndikusuntha pang'onopang'ono mpaka mutapeza malo okoma a kalembedwe kanu.

Magwiridwe, latency, ndi khalidwe

Ndi CPU, kulingalira kumatha kuchedwa, makamaka pamamodeli akulu komanso nthawi yayitali. Pa ma GPU amakono, nthawi zimatsika kwambiri.Ganizirani malangizo awa:

• Yambani ndi masekondi 8-12 kuti mubwereze malingaliro.
• Pangani zosiyana zingapo zazifupi ndikugwirizanitsa zabwino kwambiri.
• Chitani sampuli kapena kupanga pambuyo pa DAW yanu kuti mupukutire zotsatira.

Pa macOS ndi Apple Silicon, MPS imapereka malo apakati pakati pa CPU yodzipereka ndi GPU. Sinthani kumitundu yaposachedwa ya PyTorch kuchepetsa magwiridwe antchito ndi kukumbukira kukumbukira.

Kupanga pambuyo ndi kayendedwe ka ntchito ndi DAW yanu

Mukapanga mafayilo anu a WAV, alowetseni mu DAW yomwe mumakonda. Equalization, compression, reverbs ndi kusintha Amakulolani kuti musinthe zidutswa zolonjeza kukhala zidutswa zathunthu. Ngati mukusowa zimayambira kapena zida zolekanitsa, dalirani zida zolekanitsa magwero kuti muphatikizenso ndikusakaniza.

Kugwira ntchito 100% kwanuko sikulepheretsa mgwirizano: ingogawanani mafayilo omaliza kudzera mumayendedwe anu achinsinsi omwe mumakonda. Palibe chifukwa chosindikiza kapena kulunzanitsa ndi mautumiki amtambo ngati chinsinsi chanu chikulangizani motsutsa.

Mavuto wamba ndi momwe angawathetsere

Zolakwika pakuyika: mitundu yosagwirizana ya PyTorch kapena CUDA nthawi zambiri ndizomwe zimayambitsa. Onetsetsani kuti tochi yomanga ikugwirizana ndi dalaivala wanu ndi dongosolo. Ngati mukugwiritsa ntchito Apple Silicon, onetsetsani kuti simukuyika mawilo a x86 okha.

Kutsitsa kwaletsedwa: Ngati simukufuna kuti chipangizo chanu chilumikizane ndi intaneti, Ikani zolemera mu cache monga momwe amayembekezeredwa ndi Audiocraft ndi kuletsa mafoni aliwonse akunja. Onani zilolezo zowerengera pamafoda.

Nyimbo zowonongeka kapena zopanda phokoso: yang'anani chitsanzo ndi mtundu wake. Sinthani mafonti anu ndi ffmpeg ndi kusunga pafupipafupi (monga 32 kapena 44.1 kHz) kupewa zinthu zakale.

Kusagwira bwino ntchito: kumachepetsa kukula kwachitsanzo kapena nthawi yayitali, Tsekani njira zomwe zimawononga VRAM ndipo pang'onopang'ono muwonjezere zovuta pamene muwona malire aulere.

Chilolezo ndi nkhani zogwiritsa ntchito moyenera

Onani chiphaso cha MusicGen ndi seti iliyonse yomwe mumagwiritsa ntchito pofotokoza. Kupanga kwanuko sikumakulepheretsani kutsatira malamulo okopera.Pewani malangizo omwe amatsanzira mwachindunji ntchito zotetezedwa kapena ojambula ndikusankha masitayelo ndi mitundu wamba.

Kuyerekeza kwamalingaliro: Cloud vs local

Kwa magulu omwe amapanga mapulogalamu, ntchito ngati Firebase Storage imapereka ma SDK otsimikizira ndikuwongolera mafayilo amawu, zithunzi, ndi makanema, komanso nkhokwe yanthawi yeniyeni yamawu. Ecosystem iyi ndiyabwino mukafuna kulunzanitsa ogwiritsa ntchito ndi zomwe zili.Mosiyana ndi izi, pakupanga kwachinsinsi kwa MusicGen, mawonekedwe amderalo amapewa latency, quotas, ndikuwonetsa deta.

Ganizirani izi ngati njira ziwiri zosiyana. Ngati mukufuna kusindikiza, kugawana, kapena kuphatikizira zotsatira mu mapulogalamu a m'manja, kubwerera kumbuyo kwamtambo ndikothandiza. Ngati cholinga chanu ndikujambula ndikupanga popanda kukweza chilichonseGanizirani za chilengedwe chanu, kulemera kwanu, ndi disk yakomweko.

Momwe mungagwiritsire ntchito Meta's MusicGen kwanuko: Zothandizira ndi anthu ammudzi

Mabwalo ndi ma subreddits operekedwa ku zida zopangira ndi chisonyezo chabwino cha zomwe zachitika ndi njira zatsopano. Makamaka, pali madera osavomerezeka omwe amavomereza ntchito zotseguka. komwe mungasindikize zaluso, kufunsa mafunso, kuyambitsa zokambirana, kupereka ukadaulo, kapena kungoyang'anaAnthu ammudzi amatsegula zitseko zomwe zolemba zovomerezeka sizikhala nthawi zonse.

Mupezanso malingaliro ndi zolemba zaukadaulo m'malo osungira maphunziro ndi mawebusayiti akuyunivesite, nthawi zina m'ma PDF otsitsidwa. Gwiritsani ntchito monga kudzoza kwa methodologicalKoma sungani chidwi chanu pazodalira zenizeni za audio ndikuyenda kuti MusicGen iziyenda bwino pamakina anu.

Ndi zonsezi pamwambapa, tsopano mukumvetsetsa bwino momwe mungakhazikitsire chilengedwe, kupanga zidutswa zanu zoyamba, ndikusintha zotsatira popanda kuwonetsa zinthu zanu kwa anthu ena. Kuphatikizika kwa kukhazikitsidwa kwabwino kwanuko, kulimbikitsa mosamalitsa, ndi mlingo wa kupanga pambuyo pake Idzakupatsani kuyenda kwamphamvu kulenga, kwathunthu pansi pa ulamuliro wanu. Tsopano mukudziwa. Momwe mungagwiritsire ntchito Meta's MusicGen kwanuko.