Overview
ControlNet ndeyekuwedzera-inopa mifananidzo-yechizvarwa modhi yakanyatso kudzora zvimiro, ichikutendera kuti utungamirire kubuda nemipendero, maposi, kudzika mepu, kana zvinyorwa. Inoshandura mavara-kune-mufananidzo kubva kumushini we slot kuita inodzoreka dhizaini chishandiso.
ControlNet ndeyekombuta-chiratidzo workflows inodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
Yakaunzwa naLvmin Zhang uye vaanoshanda navo muna 2023, ControlNet inonamira kune yakafanodzidziswa yekuparadzira modhi seStable Diffusion pasina kudzokorora chinhu chose. Inobatanidza maencoder block eiyo U-Net mukopi inodzidziswa, yobva yabatanidza iyo kopi kudzokera kune yepakutanga yakaomeswa nechando kuburikidza ne zero-initialized convolution layers (zero-convs). Aya zero-convs anotanga asina mhedzisiro, saka kudzidziswa kunotanga kubva kune yekutanga modhi maitiro uye zvishoma nezvishoma anodzidza kubaya majekiseni. Mamiriro acho mepu yenzvimbo: mufananidzo weCanny, skeleton yeOpenPose, mepu yakadzama, segmentation mask, kana dhizaini. Mhedzisiro yacho ndeyekuti mufananidzo wakagadzirwa unotevera chimiro chemepu yekudzora nepo chinyorwa chinomisikidza chimiro uye zvirimo, ichipa maartist akavimbika, anodzokororwa marongero.
Technical Insight
Iyo yekutsanangura hunyengeri ndeye zero-convolution. Nekuti machira ekubatanidza anotangwa kune zero uremu, iyo ControlNet bazi rinotanga rawedzera chinhu, saka modhi yacho yakafanana neyekutanga pakutanga kwekudzidziswa. Izvi zvinodzivirira ruzha rwunokuvadza rwunonge runyoro rwaizopinza uye inoita kuti kugadzirisa-kwakanaka kugadzike kunyangwe pamaseti madiki. Gradients inoyerera ichipinda mu zero-convs uye zvishoma nezvishoma inovhura nzira yekumisikidza, ichidzidza kudzora kwemaitiro zvakachengeteka.
Mastering ControlNet
ControlNet ndeyekuwedzera-inopa mifananidzo-yechizvarwa modhi yakanyatso kudzora zvimiro, ichikutendera kuti utungamirire kubuda nemipendero, maposi, kudzika mepu, kana zvinyorwa. Inoshandura mavara-kune-mufananidzo kubva kumushini we slot kuita inodzoreka dhizaini chishandiso. ControlNet ndeyekombuta-chiratidzo workflows inodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuti uvake kunzwisisa kwakadzama, bata ControlNet semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvingaitwe nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa ControlNet chiyero chechokwadi nezvinhu zvekushanda 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
Kuvhara chimiro chaicho chemunhu neOpenPose skeleton uchichinja zvipfeko uye kumashure kuburikidza nekukasira.
Kushandisa mamepu eCanny edge kugadzirisazve mufananidzo wekuvaka uchichengetedza mitsara yayo yekuvaka.
Kushandura zvinyoro zvinodhonzwa nemaoko kuita mifananidzo yakakwenenzverwa yehunyanzvi hwepfungwa uye bhodhi renyaya
Kushandisa mamepu akadzama saka anogadzirwa anoremekedza 3D dhizaini yezvigadzirwa zvinopa uye yemukati dhizaini mockups.
Maitiro Ekuita
ControlNet mukuita
Kukiya chimiro chemutambi chaiwo neOpenPose skeleton uchichinja zvipfeko uye kumashure kuburikidza nekukasira.
Kukiya chimiro chemutambi chaiwo neOpenPose skeleton uchichinja zvipfeko uye kumashure kuburikidza nekuchimbidza 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.
ControlNet mukuita
Kushandisa mamepu eCanny edge kugadzirisazve mufananidzo wekuvaka uchichengetedza mitsara yayo yekuvaka.
Kushandisa mamepu eCanny edge kugadziridza mufananidzo wekuvaka uchichengetedza mitsara yekuvaka chaiyo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yekumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
ControlNet mukuita
Kushandura zvinyoro zvinodhonzwa nemaoko kuita mifananidzo yakakwenenzverwa yehunyanzvi hwepfungwa uye bhodhi renyaya.
Kushandura zvinyoro zvinodhonzwa nemaoko kuita mifananidzo yakakwenenzverwa yehunyanzvi hwepfungwa uye mabhodhi engano Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
ControlNet mukuita
Kushandisa mamepu akadzama saka akagadzirwa anoremekedza 3D dhizaini yezvigadzirwa zvinopihwa uye zvemukati dhizaini mockups.
Kushandisa mamepu akadzama kuitira kuti zviitiko zvinogadzirwa zvinoremekedza 3D dhizaini yezvigadzirwa zvinopihwa uye zvemukati dhizaini mockups 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.
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.