Maitiro ekushandisa Meta's MusicGen munharaunda pasina kurodha mafaera kune gore

¿Maitiro ekushandisa Meta's MusicGen munharaunda? Kugadzira mimhanzi nehungwaru hwekugadzira pasina kuvimba nemasevhisi ekunze zvinogoneka nhasi. Meta's MusicGen inogona kumhanya zvachose pakombuta yakoDzivisa kurodha sampuli kana mhedzisiro kune gore uye chengetedza kutonga kwedata rako nguva dzese. Gwaro iri rinokufambisa iwe mukuita nhanho nhanho, uine kurudziro inoshanda, kufunga kwekuita, uye matipi anoita mutsauko wese.

Imwe yemabhenefiti ekushanda munharaunda irusununguko rwekuyedza pasina quota miganho, pasina kumirira maseva akawandisa, uye nekuvanzika kukuru. Kusiyana nemhinduro dzegore dzakadai sekuchengetedza uye kutendeseka maSDK akagadzirirwa nharembozhaPano iwe haufanire kugovera odhiyo yako kune vechitatu mapato: iwo modhi, kukurumidza uye akagadzirwa mateki anogara newe.

Chii chinonzi MusicGen uye nei uchimhanyisa munharaunda?

MusicGen imhando yerudzi rwemimhanzi yakagadziridzwa neMeta inokwanisa kugadzira zvimedu kubva kutsananguro yemavara uye, mune mamwe akasiyana, kugadzirisa mhedzisiro nereferenzi rwiyo. Chikumbiro chavo chinosanganisa kureruka kwekushandisa pamwe nemhando inoshamisa yemumhanziinopa akasiyana modhi saizi kuenzanisa kutendeka uye system yekushandisa zviwanikwa.

Kumhanyisa komputa munharaunda kune zvakati wandei zvakakosha. Chekutanga, zvakavanzikaIzwi rako, masampuli ako, uye nziyo dzako hazvifanirwe kusiya muchina wako. Chechipiri, iyo iteration speedIwe hauvimbe nebandwidth yekuisa mafaera kana kure kure backend. Uye pakupedzisira, technical controlUnogona kugadzirisa maraibhurari mavhezheni, kuomesa huremu, uye kushanda kunze kwenyika pasina zvinoshamisa kubva kuAPI shanduko.

Izvo zvakakosha kuti unzwisise mutsauko ne cloud storage solutions. Semuenzaniso, mune mobile ecosystem, Firebase inoita kuti zvive nyore kune iOS uye vamwe vanogadzira papuratifomu kuchengetedza odhiyo, mifananidzo, uye vhidhiyo. kuburikidza neakasimba maSDK, akavakirwa-mukati echokwadi, uye yakasikwa pairing neRealtime Database yezvinyorwa zvinyorwa. Iyi nzira yakanaka kana iwe uchida kuwiriranisa, kubatana, kana kukurumidza kushambadza. Asi kana chekutanga chako chisiri chekuisa chero chinhu kumaseva ekunzeKumhanya MusicGen pakombuta yako inodzivirira iyo nhanho zvachose.

Nharaunda inoshandawo mukufarira kwako. Munzvimbo dzakavhurika uye dzisiri pamutemo senge r/StableDiffusion, iyo mamiriro ehunyanzvi hwekugadzira maturusi akavakirwa pamamodhi ekugadzira anogovaniswa uye anokurukurwa. Inzvimbo yekushambadzira zvidimbu, kupindura mibvunzo, kutanga nharo, kupa tekinoroji, uye kuongorora. Zvese zviri kuitika mumhanzi. Iyo yakavhurika-sosi, yekuongorora tsika inokwana zvakakwana nekushandisa MusicGen munharaunda: iwe unoedza, iterate, gwaro, uye kubatsira vamwe vanokutevera. Iwe sarudza mafambiro uye nzira.

Kana, paunenge uchitsvaga, ukasangana nezvimedu zvehunyanzvi zvisingaenderane nekuyerera kwemimhanzi-semuenzaniso, scoped CSS style blocks kana kumberi-kumagumo snippets- Rangarira kuti izvi hazvina basa pakugadzira ruzha, asi dzimwe nguva dzinoonekwa pamapeji ekuunganidza zviwanikwa. Zvinobatsira kutarisa pane chaiyo inotsamira odhiyo uye mabhinari auchazoda pane yako system.

Sezvineiwo, mamwe magwaro ezvishandiso anosanganisira mareferensi kune zvedzidzo zvekushandisa kana zvirongwa zvepurojekiti muPDF fomati inotambirwa pamawebhusaiti eyunivhesiti. Kunyangwe ivo vangave vanofarira kurudziroKumhanyisa MusicGen munharaunda, zvakakosha inzvimbo yako yePython, maraibhurari ekuteerera, uye uremu hwemuenzaniso.

Zvinodiwa uye kugadzirira kwezvakatipoteredza

Usati wagadzira chinyorwa chekutanga, simbisa kuti komputa yako inosangana nezvinodiwa zvishoma. Zvinogoneka neCPU, asi chiitiko chacho chiri nani zvakanyanya neGPU. Kadhi yemifananidzo ine CUDA kana Metal rutsigiro uye inokwana 6-8 GB yeVRAM Inobvumira kushandiswa kwemamodhi akakura uye nguva dzinonzwisisika dzekufungidzira.

Inoenderana masisitimu anoshanda: Windows 10/11, macOS (Apple Silicon inosarudzwa kuita zvakanaka) uye zvakajairika Linux kugovera. Iwe unozoda Python 3.9–3.11Iwe unozoda nharaunda maneja (Conda kana venv), uye FFmpeg ye encoding/decoding odhiyo. PaNVIDIA GPUs, isa PyTorch neCUDA yakakodzera; pa macOS neApple Silicon, iyo MPS inovaka; paLinux, iyo inoenderana nevatyairi vako.

MusicGen modhi maremu anotorwa kana iwe uchinge watanga kuidaidza kubva kumaraibhurari anoenderana (seMeta's Audiocraft). Kana uchida kushanda offlineDhawunirodha zvisati zvaitika uye gadzirisa nzira dzemuno kuitira kuti chirongwa chisaedze kuwana internet. Izvi zvakakosha kana uchishanda munzvimbo dzakavharwa.

Nezve kuchengetedza: kunyangwe maturusi akaita seFirebase Storage akagadzirirwa kuchengeta uye kutora mafaera ari mugore ane simba rechokwadi uye maSDK, Chinangwa chedu pano ndechekusatsamira pamasevhisi iwayoSevha mafaera ako eWAV/MP3 mumaforodha emuno uye shandisa Git LFS vhezheni kutonga kana iwe uchida shanduko yekutevera pamabhinari.

Pakupedzisira, gadzirira odhiyo I/O. FFmpeg yakakosha Kushandurudza kune akajairwa mafomati uye ekuchenesa kana kucheka mareferenzi samples. Tarisa kuti ffmpeg iri muPATH yako uye kuti unogona kuikoka kubva kuconsole.

Nhanho-ne-nhanho yekuisa munzvimbo yakasarudzika

Ini ndinokurudzira kufambiswa kwebasa kunoenderana neWindows, macOS, uye Linux uchishandisa Conda. Kana uchida venv, chinja mirairo. zvinoenderana nemaneja kwezvakatipoteredza.

# 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

Kana nharaunda yako isingatenderi kuisirwa kubva kuGit, unogona kutevedzera repository uye kugadzira inogadziriswa yekumisikidza. Iyi nzira inoita kuti zvive nyore kuseta chaiwo madhiri kuitira kuberekana.

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

Edza kuti zvese zvinoshanda muCLI

Nzira yekukurumidza yekusimbisa kuisirwa ndeyekutanga iyo yekuraira-mutsara demo inosanganisirwa muAudiocraft. Izvi zvinosimbisa kuti huremu huri kutorwa uye kuti inference process iri kutanga. nemazvo muCPU/GPU yako.

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

Yekutanga kumhanya inogona kutora nguva yakareba nekuti ichadhawunirodha modhi. Kana iwe usingade outouting connectionsKutanga, dhawunirodha nzvimbo dzekutarisa wodziisa mudhairekitori rekuchengetedza rinoshandiswa nenharaunda yako (semuenzaniso, mu ~/.cache/torch kana iyo inoratidzwa neAudiocraft) uye dzima network.

Kushandisa Python: Kugadzirisa zvakanaka

Kuti uwane mamwe mafambiro epamberi, daidza MusicGen kubva kuPython. Izvi zvinokubvumira kuti uise mbeu, nhamba yevanoda, uye tembiricha. uye shanda nemateki akaiswa nereferensi nziyo.

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')

Kana iwe uchida kumira nerwiyo, shandisa mhando yemhando yemhando yemimhanzi uye pfuura yako referensi clip. Iyi modhi inoremekedza melodic contours uye inoturikirazve manyorerwo acho maererano nekukasira.

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')

Kushanda pasina Indaneti uye kutonga modhi

Kune 100% yemuno mafambiro ebasa, dhawunirodha macheki uye gadzirisa nharaunda siyana kana nzira dzeAudiocraft kuti uzviwane. Chengetedza nhamba yezvinyorwa uye uremu kuitira kuberekana uye kudzivirira kurodha netsaona kana ukadzima network.

• Sarudza saizi yemhando zvinoenderana neVRAM yako: diki inoshandisa zvishoma uye inopindura nekukurumidza.
• Chengetedza kopi yekuchengetedza yezviyero pane yemunharaunda kana yekunze dhisiki.
• Nyora iyo Audiocraft inoita uye iyo PyTorch inovaka iwe yaunoshandisa.

Kana ukashandisa michina yakawanda, unogona kugadzira girazi remukati nemaraibhurari ako uye uremu. nguva dzose pane network yemuno uye pasina kufumura chero chinhu kune internetInoshanda kune zvikwata zvekugadzira zvine mitemo yakasimba.

Maitiro akanakisa ekukurudzira uye parameter

Hunhu hwekukurumidza hwakakosha. Inotsanangura zviridzwa, tempo, mamiriro ekunze, uye stylistic mareferensi. Dzivisa zvikumbiro zvinopokana uye chengeta zvirevo zvipfupi asi zvakapfuma mune zvemimhanzi.

• Kuridzwa: acoustic gitare, piyano yepedyo, tambo dzakapfava, madhiramu e-lo-fi.
• Rhythm uye tempo: 90 BPM, hafu yenguva, yakanyorwa groove.
• Atmosphere: cinematic, yepedyo, yakasviba, ambient, inofara.
• Kugadzirwa: zvinyengeri reverb, zvine mwero compression, analog saturation.

Nezve parameters: top_k uye top_p kudzora kusiyana; tembiricha inogadzirisa kusika. Tanga netsika dzine mwero uye zvishoma nezvishoma famba kusvikira wawana nzvimbo inotapira yemaitiro ako.

Performance, latency, uye kunaka

NeCPU, kufungidzira kunogona kunonoka, kunyanya pamhando dzakakura uye kwenguva refu. PamaGPU emazuva ano, nguva dzinodonha zvakanyanya.Tarisa mazano aya:

• Tanga ne8-12 sekondi zvimedu kuti udzokorore pfungwa.
• Gadzira akati wandei mapfupi akasiyana uye concatenate iwo akanakisa.
• Ita upsampling kana post-kugadzirwa muDAW yako kupuruzira mhedzisiro.

PamacOS neApple Silicon, MPS inopa nzvimbo yepakati pakati peCPU yakatsaurirwa neGPU. Kwidziridzo kune dzichangoburwa shanduro dzePyTorch kudzvanya kuita uye kuvandudza ndangariro.

Post-kugadzirwa uye kufambiswa kwebasa neDAW yako

Kana uchinge wagadzira mafaera ako eWAV, apinze muDAW yako yaunofarira. Kuenzana, kudzvanya, zvirevo uye kugadzirisa Vanokutendera iwe kushandura zvimedu zvinovimbisa kuita zvidimbu zvakakwana. Kana iwe uchida madzinde kana kupatsanurwa kwechiridzwa, vimba nematurusi ekuparadzanisa maturusi kusanganisa uye kusanganisa.

Kushanda 100% munharaunda hakutadzise kubatana: ingogovera mafaera ekupedzisira kuburikidza neako aunofarira chiteshi. Iko hakuna chikonzero chekushambadzira kana kuwiriranisa nemasevhisi emakore kana mutemo wako wekuvanzika uchikurudzira kupokana nazvo.

Matambudziko akajairika uye nzira yekuagadzirisa

Zvikanganiso zvekuisa: zvisingaenderani neshanduro dze PyTorch kana CUDA kazhinji ndicho chikonzero. Tarisa uone kuti tochi inovakwa inoenderana nemutyairi wako uye system. Kana uri kushandisa Apple Silicon, ita shuwa kuti hauisi mavhiri chete e x86.

Kudhawunirodha kwakavharwa: Kana iwe usingade kuti mudziyo wako ubatane neinternet, Isa huremu mu cache sezvinotarisirwa neAudiocraft uye wodzima chero mafoni ekunze. Tarisa mvumo yekuverenga pamaforodha.

Yakaora kana yakanyarara odhiyo: tarisa chiyero chemuenzaniso uye fomati. Shandura mafonti ako neffmpeg uye chengetedza yakajairika frequency (semuenzaniso, 32 kana 44.1 kHz) kudzivirira artifacts.

Kuita kwakashata: kunoderedza saizi yemhando kana clip yenguva, Vhara maitiro anoshandisa VRAM uye zvishoma nezvishoma kuwedzera kuoma kana iwe uchiona mahara margin.

Rezinesi uye zvine chekuita nekushandisa nyaya

Bvunza iyo MusicGen rezinesi uye chero dhatabheti raunoshandisa sereferensi. Kugadzira munharaunda hakukuregedze kutevedzera mitemo yekodzero.Dzivisa zvinokurudzira zvinotevedzera zvakananga mabasa akadzivirirwa kana maartist uye sarudza masitayera akajairwa nemhando.

Conceptual kuenzanisa: gore vs yemunharaunda

Kune zvikwata zvinogadzira maapplication, masevhisi akaita seFirebase Storage anopa maSDK echokwadi uye manejimendi emaodhiyo, mufananidzo, uye vhidhiyo mafaera, pamwe neiyo chaiyo-nguva dhatabhesi yezvinyorwa. Iyi ecosystem yakanaka kana iwe uchida kuwiriranisa vashandisi uye zvirimo.Mukupesana, kune yakavanzika yekugadzira mafambiro neMusicGen, yemuno modhi inodzivirira latency, quotas, uye kuratidzwa kwedata.

Funga nezvayo semakwara maviri akasiyana. Kana iwe uchida kushambadza, kugovera, kana kubatanidza mhedzisiro munharembozha, gore-yakavakirwa backend inobatsira. Kana chinangwa chako chiri prototype uye kugadzira pasina kurodha chero chinhuTarisa pane yako nharaunda, uremu hwako, uye yako yemunharaunda dhisiki.

Mashandisiro eMeta's MusicGen munharaunda: Zviwanikwa uye nharaunda

Maforamu uye subreddits yakatsaurirwa kune maturusi ekugadzira chiratidzo chakanaka chekuvandudzwa uye matekiniki. Kunyanya, kune nharaunda dzisiri pamutemo dzinogashira mapurojekiti akazaruka. kwaunogona kushambadza hunyanzvi, kubvunza mibvunzo, kutanga nharo, kupa tekinoroji, kana kungobhurawuzaNharaunda inovhura mikova iyo zvinyorwa zviri pamutemo hazviwanzo kuvhara.

Iwe zvakare uchawana zvikumbiro uye magwaro ehunyanzvi mune zvedzidzo repositori uye mawebhusaiti emayunivhesiti, dzimwe nguva mumaPDF anodhawunirodha. Vashandise sekurudziro yemaitiroAsi chengeta pfungwa dzako dzinoshanda pane chaiyo inotsamira odhiyo uye inoyerera kuti MusicGen ifambe zvakanaka pamushini wako.

Nezvese zviri pamusoro, iwe zvino wava nekunzwisisa kwakajeka kwekugadzirisa nharaunda, kugadzira zvidimbu zvako zvekutanga, uye kugadzirisa mhedzisiro pasina kufumura zvinhu zvako kune vechitatu mapato. Iko kusanganiswa kweiyo yakanaka yekuseta yemuno, nekuchenjerera kukurudzira, uye dhamu yemashure-kugadzirwa Ichakupa simba rekugadzira kuyerera, zvachose pasi pekutonga kwako. Zvino munoziva. Maitiro ekushandisa Meta's MusicGen munharaunda.