{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/text-based-image-editing/papers/ran/1","list_of":"/task/text-based-image-editing","task":"Text-based Image Editing","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,19],"of":19,"counts":{"archive_papers_tagged":45,"with_a_code_link":29,"where_syntology_ran_a_sample":19,"not_listed_spam_title":0,"listed":45,"listed_where_code_ran":19,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":18,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":18,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/text-based-image-editing/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/illume-illuminating-unified-mllm-with-dual","slug":"illume-illuminating-unified-mllm-with-dual","title":"ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement","date":"2025-04-02","arxiv_id":"2504.01934","repositories_listed":1,"syntology":{"n":20,"n_ran":19,"n_constructed":0,"n_ran_checked":18,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":1,"n_no_contract":17,"n_pointer_only":0,"phrase":"19 ran (of which 0 constructed an object rather than computing a result; 18 with no instrument failure: 0 honoured, 1 violated, 17 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/illume-illuminating-unified-mllm-with-dual#ran","syntology_url":"https://syntology.ai/paper/2504.01934","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2504.01934"}},"official":null}},{"url":"/paper/kv-edit-training-free-image-editing-for","slug":"kv-edit-training-free-image-editing-for","title":"KV-Edit: Training-Free Image Editing for Precise Background Preservation","date":"2025-02-24","arxiv_id":"2502.17363","repositories_listed":1,"syntology":{"n":31,"n_ran":16,"n_constructed":12,"n_ran_checked":14,"n_instrument":2,"n_unverified":15,"n_honours":0,"n_violates":0,"n_no_contract":14,"n_pointer_only":0,"phrase":"16 ran (of which 12 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 2 where Syntology's instrument failed) · 15 unverified","sample_list":"/paper/kv-edit-training-free-image-editing-for#ran","syntology_url":"https://syntology.ai/paper/2502.17363","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2502.17363"}},"official":{"repos":["Xilluill/KV-Edit"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":12,"n_ran_no_instrument_failure":14,"n_unverified":15,"ran_from_kinds":["official"]}}},{"url":"/paper/fireflow-fast-inversion-of-rectified-flow-for","slug":"fireflow-fast-inversion-of-rectified-flow-for","title":"FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing","date":"2024-12-10","arxiv_id":"2412.07517","repositories_listed":1,"syntology":{"n":11,"n_ran":7,"n_constructed":0,"n_ran_checked":3,"n_instrument":4,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 4 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/fireflow-fast-inversion-of-rectified-flow-for#ran","syntology_url":"https://syntology.ai/paper/2412.07517","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2412.07517"}},"official":{"repos":["holmesshuan/fireflow"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/stable-flow-vital-layers-for-training-free","slug":"stable-flow-vital-layers-for-training-free","title":"Stable Flow: Vital Layers for Training-Free Image Editing","date":"2024-11-21","arxiv_id":"2411.14430","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":5,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/stable-flow-vital-layers-for-training-free#ran","syntology_url":"https://syntology.ai/paper/2411.14430","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.14430"}},"official":{"repos":["snap-research/stable-flow"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/flexiedit-frequency-aware-latent-refinement","slug":"flexiedit-frequency-aware-latent-refinement","title":"FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing","date":"2024-07-25","arxiv_id":"2407.17850","repositories_listed":1,"syntology":{"n":20,"n_ran":13,"n_constructed":0,"n_ran_checked":12,"n_instrument":1,"n_unverified":7,"n_honours":0,"n_violates":0,"n_no_contract":12,"n_pointer_only":0,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 1 where Syntology's instrument failed) · 7 unverified","sample_list":"/paper/flexiedit-frequency-aware-latent-refinement#ran","syntology_url":"https://syntology.ai/paper/2407.17850","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.17850"}},"official":{"repos":["kookie12/FlexiEdit"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":7,"ran_from_kinds":["official"]}}},{"url":"/paper/doubly-abductive-counterfactual-inference-for","slug":"doubly-abductive-counterfactual-inference-for","title":"Doubly Abductive Counterfactual Inference for Text-based Image Editing","date":"2024-03-05","arxiv_id":"2403.02981","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/doubly-abductive-counterfactual-inference-for#ran","syntology_url":"https://syntology.ai/paper/2403.02981","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.02981"}},"official":{"repos":["xuesong39/dac"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/inversion-free-image-editing-with-natural","slug":"inversion-free-image-editing-with-natural","title":"Inversion-Free Image Editing with Natural Language","date":"2023-12-07","arxiv_id":"2312.04965","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/inversion-free-image-editing-with-natural#ran","syntology_url":"https://syntology.ai/paper/2312.04965","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.04965"}},"official":{"repos":["sled-group/InfEdit"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/direct-inversion-boosting-diffusion-based","slug":"direct-inversion-boosting-diffusion-based","title":"Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code","date":"2023-10-02","arxiv_id":"2310.01506","repositories_listed":3,"syntology":{"n":6,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":6,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/direct-inversion-boosting-diffusion-based#ran","syntology_url":"https://syntology.ai/paper/2310.01506","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.01506"}},"official":{"repos":["cure-lab/directinversion"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/lance-stress-testing-visual-models-by-1","slug":"lance-stress-testing-visual-models-by-1","title":"LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images","date":"2023-05-30","arxiv_id":"2305.19164","repositories_listed":2,"syntology":{"n":10,"n_ran":10,"n_constructed":0,"n_ran_checked":8,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":4,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/lance-stress-testing-visual-models-by-1#ran","syntology_url":"https://syntology.ai/paper/2305.19164","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.19164"}},"official":{"repos":["virajprabhu/lance"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/masactrl-tuning-free-mutual-self-attention","slug":"masactrl-tuning-free-mutual-self-attention","title":"MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing","date":"2023-04-17","arxiv_id":"2304.08465","repositories_listed":4,"syntology":{"n":7,"n_ran":4,"n_constructed":4,"n_ran_checked":4,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":1,"phrase":"4 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified; every one of the 4 samples that ran constructed an object rather than computing a result","sample_list":"/paper/masactrl-tuning-free-mutual-self-attention#ran","syntology_url":"https://syntology.ai/paper/2304.08465","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2304.08465"}},"official":{"repos":["tencentarc/masactrl"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/stylediffusion-prompt-embedding-inversion-for","slug":"stylediffusion-prompt-embedding-inversion-for","title":"StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing","date":"2023-03-28","arxiv_id":"2303.15649","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/stylediffusion-prompt-embedding-inversion-for#ran","syntology_url":"https://syntology.ai/paper/2303.15649","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.15649"}},"official":{"repos":["sen-mao/StyleDiffusion"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/svdiff-compact-parameter-space-for-diffusion","slug":"svdiff-compact-parameter-space-for-diffusion","title":"SVDiff: Compact Parameter Space for Diffusion Fine-Tuning","date":"2023-03-20","arxiv_id":"2303.11305","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/svdiff-compact-parameter-space-for-diffusion#ran","syntology_url":"https://syntology.ai/paper/2303.11305","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.11305"}},"official":null}},{"url":"/paper/hive-harnessing-human-feedback-for","slug":"hive-harnessing-human-feedback-for","title":"HIVE: Harnessing Human Feedback for Instructional Visual Editing","date":"2023-03-16","arxiv_id":"2303.09618","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":2,"n_no_contract":0,"n_pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 2 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/hive-harnessing-human-feedback-for#ran","syntology_url":"https://syntology.ai/paper/2303.09618","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.09618"}},"official":{"repos":["salesforce/HIVE"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/erasing-concepts-from-diffusion-models","slug":"erasing-concepts-from-diffusion-models","title":"Erasing Concepts from Diffusion Models","date":"2023-03-13","arxiv_id":"2303.07345","repositories_listed":2,"syntology":{"n":8,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":4,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/erasing-concepts-from-diffusion-models#ran","syntology_url":"https://syntology.ai/paper/2303.07345","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.07345"}},"official":{"repos":["rohitgandikota/erasing"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/zero-shot-image-to-image-translation","slug":"zero-shot-image-to-image-translation","title":"Zero-shot Image-to-Image Translation","date":"2023-02-06","arxiv_id":"2302.03027","repositories_listed":2,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/zero-shot-image-to-image-translation#ran","syntology_url":"https://syntology.ai/paper/2302.03027","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2302.03027"}},"official":{"repos":["pix2pixzero/pix2pix-zero"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/plug-and-play-diffusion-features-for-text","slug":"plug-and-play-diffusion-features-for-text","title":"Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation","date":"2022-11-22","arxiv_id":"2211.12572","repositories_listed":4,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/plug-and-play-diffusion-features-for-text#ran","syntology_url":"https://syntology.ai/paper/2211.12572","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.12572"}},"official":{"repos":["MichalGeyer/plug-and-play"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/null-text-inversion-for-editing-real-images","slug":"null-text-inversion-for-editing-real-images","title":"Null-text Inversion for Editing Real Images using Guided Diffusion Models","date":"2022-11-17","arxiv_id":"2211.09794","repositories_listed":4,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/null-text-inversion-for-editing-real-images#ran","syntology_url":"https://syntology.ai/paper/2211.09794","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.09794"}},"official":{"repos":["google/prompt-to-prompt"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/instructpix2pix-learning-to-follow-image","slug":"instructpix2pix-learning-to-follow-image","title":"InstructPix2Pix: Learning to Follow Image Editing Instructions","date":"2022-11-17","arxiv_id":"2211.09800","repositories_listed":6,"syntology":{"n":20,"n_ran":17,"n_constructed":2,"n_ran_checked":12,"n_instrument":5,"n_unverified":3,"n_honours":2,"n_violates":3,"n_no_contract":7,"n_pointer_only":4,"phrase":"17 ran (of which 2 constructed an object rather than computing a result; 12 with no instrument failure: 2 honoured, 3 violated, 7 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/instructpix2pix-learning-to-follow-image#ran","syntology_url":"https://syntology.ai/paper/2211.09800","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.09800"}},"official":{"repos":["timothybrooks/instruct-pix2pix"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/prompt-to-prompt-image-editing-with-cross","slug":"prompt-to-prompt-image-editing-with-cross","title":"Prompt-to-Prompt Image Editing with Cross Attention Control","date":"2022-08-02","arxiv_id":"2208.01626","repositories_listed":7,"syntology":{"n":15,"n_ran":9,"n_constructed":2,"n_ran_checked":7,"n_instrument":2,"n_unverified":6,"n_honours":1,"n_violates":1,"n_no_contract":5,"n_pointer_only":4,"phrase":"9 ran (of which 2 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 1 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/prompt-to-prompt-image-editing-with-cross#ran","syntology_url":"https://syntology.ai/paper/2208.01626","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2208.01626"}},"official":{"repos":["google/prompt-to-prompt"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["listed","unlocated"]}}}],"record_sha256":"a058c52f73e6cc481da3d67b9b10a932dfda5f044b63beec73e249c45f22a63b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}