Overview
Prompt-to-Prompt inogadziridza mufananidzo wakagadzirwa nekugadzirisa iwo mavara nekukurumidza uchishandisa zvakare mepu yekutarisisa yemukati memodhi, saka kushandura izwi rimwe chete rinochinjanisa chinhu ichi uchichengeta chasara chiitiko. Iko kugadzirisa kuburikidza nemazwi, kwete pixels.
Prompt-to-Prompt Cross-Attention Editing ndeyekombuta-kuona mafambiro anodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
Prompt-to-Prompt (Hertz et al., 2022) inzira yekudzidzira-yemahara yekunyora-inotyairwa editing mumamodhi ekupararira. Muono wakakosha ndewekuti mamepu ekutarisisa, ayo anoudza modhi kuti ndeapi matunhu izwi rega rega rinofanira kupesvedzera, encode marongero enzvimbo yechiitiko. Kana iwe uchigadzira patsva mufananidzo nekagadziridzwa zvishoma, nzira inopinza iyo yepakutanga yekutarisisa mepu mukuita kutsva. Kutsiva izwi, taura 'bhasikoro' ne'mudhudhudhu', chinjanisa chinhu ichi uchichengetedza kuumbwa uye kumashure. Kuwedzera izwi kunopinza kutarisa chete kune asina kuchinjika tokens, saka hunhu hutsva hunoonekwa pasina kudzoreredza zvese. Iwe unogona zvakare reweight kutarisisa kwechiratidzo kusimbisa kana kuderedza kushanda kwayo. Nekuti haidi kurongeka kana masiki, yakava nheyo yekuvaka yeakawanda akazotevera ekugadzirisa nzira, kusanganisira InstructPix2Pix's data chizvarwa.
Technical Insight
Munguva yedenoising, kuyambuka-kutarisisa computes, kune imwe neimwe chiratidzo, mepu yenzvimbo yekwainopinda mumufananidzo. Prompt-to-Prompt inokopa mamepu aya kubva kuchizvarwa chepakutanga kuenda kune yakagadziridzwa yematokeni akagovaniswa. Kuchinjana kwemazwi kunoisa pfungwa pakati pezviratidzo zvinoenderana; pamashoko akawedzerwa inochengetedza mamepu ekare uye inongobvumira zviratidzo zvitsva kuti zvigadzire kutarisa kutsva; kuremerwa kunongoyera kukosha kwechiratidzo, kuwedzera kana kudzikamisa maitiro ayo ekuona.
Mastering Prompt-to-Prompt Cross-Attention Editing
Prompt-to-Prompt inogadziridza mufananidzo wakagadzirwa nekugadzirisa iwo mavara nekukurumidza uchishandisa zvakare mepu yekutarisisa yemukati memodhi, saka kushandura izwi rimwe chete rinochinjanisa chinhu ichi uchichengeta chasara chiitiko. Iko kugadzirisa kuburikidza nemazwi, kwete pixels. Prompt-to-Prompt Cross-Attention Editing ndeyekombuta-kuona mafambiro anodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuti uvake kunzwisisa kwakadzama, bata Kukurumidzira-ku-Kukurumidzira Cross-Attention Kugadziridza semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvaunoda mhedzisiro, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Prompt-to-Prompt Cross-Attention Editing chiyero chechokwadi nemashandiro anoita 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
Mugadziri anochinja 'motokari tsvuku mumugwagwa' kuita 'motokari yebhuruu mumugwagwa' uye inoramba ichinyatsoenderana nemamiriro ezvinhu.
Mufananidzi anoremesa izwi rekuti 'chando' kuita kuti nzvimbo iwedzere kutonhorera pane zvakasiyana.
Mutauri wengano anochinjanisa 'shumba' kuti 'tiger' nekukurumidza kuti arambe aine chimiro chakafanana uye kumashure kwebepa remavara.
Muongorori anoishandisa kugadzira akapetwa pamberi / mushure memifananidzo sedhata rekudzidzisa remupepeti anotevera rairo.
Maitiro Ekuita
Prompt-to-Prompt Cross-Attention Editing mukuita
Mugadziri anochinja 'motokari tsvuku mumugwagwa' kuita 'motokari yebhuruu mumugwagwa' uye inoramba ichinyatsoenderana nemamiriro ezvinhu.
Mugadziri anochinja 'motokari tsvuku mumugwagwa' kuita 'motokari yebhuruu mumugwagwa' uye anochengeta chaiwo magadzirirwo echiitiko Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Prompt-to-Prompt Cross-Attention Editing mukuita
Mufananidzi anoremesa izwi rekuti 'chando' kuita kuti nzvimbo iwedzere kutonhorera pane zvakasiyana.
Mufananidzi anoremesa izwi rekuti 'snowy' kuita kuti nyika iwedzere kutonhora zvishoma nezvishoma mukati memisiyano Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Prompt-to-Prompt Cross-Attention Editing mukuita
Mutauri wengano anochinjanisa 'shumba' kuti 'tiger' nekukurumidza kuti arambe aine chimiro chakafanana uye kumashure kwebepa remavara.
Mutauri wenyaya anochinjanisa 'shumba' ye 'tiger' nekukasira kuchengetedza chimiro chakafanana uye kumashure kwebepa remavara Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Prompt-to-Prompt Cross-Attention Editing mukuita
Muongorori anoishandisa kugadzira akapetwa pamberi / mushure memifananidzo sedhata rekudzidzisa remupepeti anotevera rairo.
Mutsvaguri anoishandisa kugadzira akapetwa pamberi/pashure pemifananidzo sedhata rekudzidzisa remupepeti anotevera rairo Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa 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.