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Diffusion Transformers (DiTs) inoshandura iyo convolutional U-Net pamwoyo wemufananidzo uye vhidhiyo jenareta kune Transformer musana.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
This architecture powers leading systems like Stable Diffusion 3 and OpenAI's Sora, and it scales remarkably well as you add compute.
Diffusion modhi inogadzira mapikicha nekutanga kubva paruzha rwakachena uye nekudzokorodza kuita ruzha mumufananidzo wakabatana. Kwemakore network ichiita iyo denoising yaive U-Net, inogadziriswa dhizaini. Iyo Diffusion Transformer, yakaunzwa naPeebles na Xie muna 2022, inotsiva U-Net neTransformer. Mufananidzo wacho unotanga wakatsikirirwa munzvimbo yakanyarara, yakakamurwa kuita zvigamba zvidiki, uye chigamba chimwe nechimwe chinova chiratidzo, senge mazwi emhando yemutauro. Iyo Transformer inozogadzirisa aya ma tokens nekuzvitarisa wega pane imwe neimwe nhanho yedenoising. Chinhu chakakosha chekuwana ndechekuti DiT performance inovandudza kufanofungidzira sezvaunowedzera saizi yemuenzaniso uye kuderedza saizi yechigamba, uchitevera yakachena kuyera mitemo. Uku scalability ndosaka mameseji-kune-vhidhiyo uye yepamusoro-yekupedzisira mameseji-kune-mufananidzo masisitimu akatamira zvakanyanya kuTransformer backbones.
OpenAI's Sora inoshandisa Transformer musana pamusoro pezvigamba zvemuchadenga kugadzira mavhidhiyo akareba-maminiti, akavimbika kubva mukurudziro yemavara.
Yakagadzika Diffusion 3 inotora multimodal Diffusion Transformer (MMDiT) kuti ienzanise zvirinani mifananidzo yakagadzirwa ine yakadzama yezvinyorwa tsananguro.
Vatsvaguri vanoyera DiT kusvika kumabhiriyoni emaparamita uye vanocherekedza mhando yemufananidzo ichinatsiridza fungidziro, ichitungamira komputa-bhajeti sarudzo.
Iyo studio inoshandisa DiT-yakavakirwa modhi kuti iwedzere zvipfupi zvipfupi, inobata akawedzera vhidhiyo mafuremu seyekuwedzera chigamba tokeni kuita denoise.
Diffusion Transformers iri kuita iyo default musana wekugadzira midhiya. Yavo tokeni-yakavakirwa dhizaini inoita kuti ive yakasikwa yekubatanidza mifananidzo, vhidhiyo, uye kunyange multimodal chizvarwa pasi peimwe scalable architecture. Tsvagiridzo iri kusundira kuvhidhiyo yakareba, kugadziriswa kwepamusoro, uye kutarisisa kwakanyanya kudzikamisa mutengo wequadratic wematokeni mazhinji. Tarisira kusangana pakati pemutauro nemhando dzezviono, uko zvakafanana Transformer scaling mabikirwo uye zvivakwa zvinoshanda zvese, zvichiwedzera kufambira mberi mumamodeli epasirese uye vhidhiyo inodyidzana.
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Diffusion Transformers (DiTs) inoshandura iyo convolutional U-Net pamwoyo wemufananidzo uye vhidhiyo jenareta kune Transformer musana. Ichi chivakwa chine masimba ekutungamirira masisitimu akaita seStable Diffusion 3 uye OpenAI's Sora, uye inoyera zvinoshamisa paunowedzera komputa.
DiTs inotsiva iyo U-Net, iyo convolutional network yakaita denoising, ine Transformer musana.
Mufananidzo wakaremara wakakamurwa kuita zvigamba zvidiki, uye chigamba chega chega chinova chiratidzo, chinofananidzwa nemazwi mumuenzaniso wemutauro.
Hunhu hweDiT hunovandudzika nenzira yakachena, inofanotaurwa paunowedzera modhi komputa uye kushandisa zvigamba zvidiki, uchitevera mitemo yekuyera.
DiTs dzinoshandisa adaptive layer normalization kufanotaura chiyero uye chinja maparamita ezvakajairwa zvikamu kubva pachiratidzo chekugadzirisa.
adaLN-zero inotangisa modulation kuitira kuti chivharo chimwe nechimwe chiite sechiziviso, chinogadzika nekuvandudza kudzidziswa.
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InoteveraGaidhi rinotevera
Maitiro eSpatial Transformer Networks
AI Yekutarisa