Overview
Consistency modhi mamodheru ekugadzira anodzidza kusvetuka kubva paruzha kuenda kumufananidzo wakachena mune imwe nhanho (kana mashoma chete), pachinzvimbo chemakumi emakumi ematanho ekuparadzira zvinodiwa. Izvo zvine basa nekuti ivo vanoita yemhando yepamusoro chizvarwa chemufananidzo nekukurumidza zvakakwana kune chaiyo-nguva uye inopindirana kushandiswa.
Consistency Models ndeyekombuta-yekuona workflows inodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
Yakatangwa ne OpenAI vatsvakurudzi muna 2023, mamodheru akafanana anogadzirisa kusasimba kukuru kwekusasimba: kunonoka, kudzokorora sampling. A diffusion modhi inotsanangura nzira (iyo ODE trajectory) kubva kune ruzha kuenda kune data uye inoifamba nhanho nhanho. A consistency modhi inodzidziswa kuitira kuti chero poindi iri padivi peiyo mepu yetrajectory kune imwechete yakachena yekupedzisira, chivakwa chinonzi self-consistency. Nekuti yega yega nzvimbo ine ruzha 'inobvumirana' pamufananidzo wekupedzisira, unogona kusvetuka kubva muruzha rwakachena wakananga kumuenzaniso mune imwe network yekuongorora, kana kutora matanho mashoma ekutengesa kumhanya kwemhando. Vanogona kudzidziswa nekuita distilling pretrained diffusion modhi (consistency distillation) kana kubva pakatanga (consistency training). Latent Consistency Models inoshandisa izvi munzvimbo yakadzikama, ichigonesa pedyo-pakarepo Stable Diffusion mufananidzo chizvarwa.
Technical Insight
Iyo inotsanangudza dhizaini ibasa rekuenderana f(x_t, t): chero kaviri pamwe chete neruzha-ku-data trajectory, f inofanirwa kuburitsa yakafanana yakachena sample, ine muganhu wekuti f panguva zero ndiyo identity. Kudzidzira kunosimbisa izvi nekusundidzira kuburitsa kwemodhi panzvimbo ine ruzha kuti ienderane nekubuda kwayo panzvimbo ine ruzha zvishoma yakatarisana, kazhinji uchishandisa chinongedzo chetiweki chakagadziridzwa seavhareji inofamba yekudzikama.
Mastering Consistency Models
Consistency modhi mamodheru ekugadzira anodzidza kusvetuka kubva paruzha kuenda kumufananidzo wakachena mune imwe nhanho (kana mashoma chete), pachinzvimbo chemakumi emakumi ematanho ekuparadzira zvinodiwa. Izvo zvine basa nekuti ivo vanoita yemhando yepamusoro chizvarwa chemufananidzo nekukurumidza zvakakwana kune chaiyo-nguva uye inopindirana kushandiswa. Consistency Models ndeyekombuta-yekuona workflows inodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuvaka kunzwisisa kwakadzama, bata Consistency Models semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, jekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva pane zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Consistency Models kuenzanirana nezviri kuitika semhando yedata, kusiyana kwemwenje, uye kuenderana kwemazita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero. Panguva imwecheteyo, kodzero dzeMufananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana hunhu husina kujeka. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.
Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Latent Consistency Models inogonesa pedyo-pakarepo Yakagadzikana Diffusion mufananidzo kugadzirwa kune inodyidzana dhizaini maturusi
Chaiyo-nguva AI yekudhirowa canvases inogadziridza iyo yakapihwa mufananidzo inorarama semushandisi sketches kana mhando
Kudhiza inononoka pretrained diffusion modhi kuita inokurumidza mashoma-nhanho jenareta pasina kudzidziswa kubva pakatanga
Simba rinopindura, rakaderera-latency mufananidzo maficha mune nharembozha uye webhu maapplication uko akawanda-nhanho kupararira kuri kunonoka.
Maitiro Ekuita
Consistency Models mukuita
Latent Consistency Models inogonesa pedyo-pakarepo Yakagadzikana Diffusion mufananidzo kugadzirwa kune inodyidzana dhizaini maturusi.
Latent Consistency Models inogonesa pedyo-pakarepo Yakagadzikana Diffusion chizvarwa chekudyidzana dhizaini maturusi Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Consistency Models mukuita
Chaiyo-nguva AI yekudhirowa canvases inogadziridza iyo yakapihwa mufananidzo inorarama semushandisi sketches kana mhando.
Chaiyo-nguva AI yekudhirowa canvases inovandudza mufananidzo wakapihwa inogara semushandisi sketches kana mhando Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Consistency Models mukuita
Kudhiza inononoka pretrained diffusion modhi mune inokurumidza mashoma-nhanho jenareta pasina kudzidziswa kubva pakatanga.
Kudhiraivha inononoka pretrained diffusion modhi mune inokurumidza nhanho-nhanho jenareta pasina kudzidzirazve kubva pakatanga Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Consistency Models mukuita
Simba rinopindura, rakaderera-latency mufananidzo maficha mune nharembozha uye webhu maapplication uko kuwanda-nhanho kupararira kuri kunonoka.
Simba rinopindura, rakaderera-latency mufananidzo maficha mune nharembozha uye webhu maapplication uko kuwanda-nhanho kupararira kuri kunonoka Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Njodzi & Guardrails
Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.
Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.
Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.
Implementation Roadmap
Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.