{"id":"https://openalex.org/W7128354943","doi":"https://doi.org/10.48550/arxiv.2602.06879","title":"NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices","display_name":"NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7128354943","doi":"https://doi.org/10.48550/arxiv.2602.06879"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.06879","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125418517","display_name":"Ruchika Chavhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chavhan, Ruchika","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078019808","display_name":"Malcolm Chadwick","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chadwick, Malcolm","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125408225","display_name":"Alberto Gil Couto Pimentel Ramos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramos, Alberto Gil Couto Pimentel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125381684","display_name":"Luca Morreale","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morreale, Luca","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061617355","display_name":"Mehdi Noroozi","orcid":"https://orcid.org/0000-0001-6206-8121"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noroozi, Mehdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103129498","display_name":"Abhinav Mehrotra","orcid":"https://orcid.org/0000-0001-6751-0302"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehrotra, Abhinav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5045999884605408,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5045999884605408,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.09019999951124191,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.05350000038743019,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.666700005531311},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.664900004863739},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6036999821662903},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5817999839782715},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5813000202178955},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5231999754905701},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4830999970436096},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.40049999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540000081062317},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.666700005531311},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.664900004863739},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6036999821662903},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5817999839782715},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5813000202178955},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5231999754905701},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4449000060558319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4052000045776367},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.40049999952316284},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.3294000029563904},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3052999973297119},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29989999532699585},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.288100004196167},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C127532173","wikidata":"https://www.wikidata.org/wiki/Q179904","display_name":"Hourglass","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.06879","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.06879","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.06879","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.06879","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"large-scale":[1],"text-to-image":[2,33,136],"diffusion":[3,65],"models":[4,20],"continue":[5],"to":[6,46,72,87],"improve":[7],"in":[8,63,123],"visual":[9,106],"quality,":[10],"their":[11],"increasing":[12],"scale":[13],"has":[14],"widened":[15],"the":[16,64,112,131],"gap":[17],"between":[18],"state-of-the-art":[19],"and":[21],"on-device":[22,135],"solutions.":[23],"To":[24],"address":[25],"this":[26],"gap,":[27],"we":[28],"introduce":[29],"NanoFLUX,":[30],"a":[31,41],"2.4B":[32],"flow-matching":[34],"model":[35,55],"distilled":[36],"from":[37,70,108],"17B":[38],"FLUX.1-Schnell":[39],"using":[40],"progressive":[42],"compression":[43,56],"pipeline":[44],"designed":[45],"preserve":[47],"generation":[48],"quality.":[49],"Our":[50],"contributions":[51],"include:":[52],"(1)":[53],"A":[54,75,98],"strategy":[57],"driven":[58],"by":[59,83],"pruning":[60],"redundant":[61],"components":[62],"transformer,":[66],"reducing":[67],"its":[68],"size":[69],"12B":[71],"2B;":[73],"(2)":[74],"ResNet-based":[76],"token":[77],"downsampling":[78],"mechanism":[79],"that":[80,104],"reduces":[81],"latency":[82],"allowing":[84],"intermediate":[85],"blocks":[86],"operate":[88],"on":[89,127],"lower-resolution":[90],"tokens":[91],"while":[92],"preserving":[93],"high-resolution":[94],"processing":[95],"elsewhere;":[96],"(3)":[97],"novel":[99],"text":[100],"encoder":[101],"distillation":[102],"approach":[103],"leverages":[105],"signals":[107],"early":[109],"layers":[110],"of":[111,133],"denoiser":[113],"during":[114],"sampling.":[115],"Empirically,":[116],"NanoFLUX":[117],"generates":[118],"512":[119,121],"x":[120],"images":[122],"approximately":[124],"2.5":[125],"seconds":[126],"mobile":[128],"devices,":[129],"demonstrating":[130],"feasibility":[132],"high-quality":[134],"generation.":[137]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-10T00:00:00"}