{"about":{"site":"https://codewithpapers.app","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.","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"},"url":"/paper/animatelcm-accelerating-the-animation-of","title":"AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data","arxiv_id":"2402.00769","date":"2024-02-01","proceeding":null,"authors":["Fu-Yun Wang","Zhaoyang Huang","Weikang Bian","Xiaoyu Shi","Keqiang Sun","Guanglu Song","Yu Liu","Hongsheng Li"],"abstract":"This paper introduces an effective method for computation-efficient personalized style video generation without requiring access to any personalized video data. It reduces the necessary generation time of similarly sized video diffusion models from 25 seconds to around 1 second while maintaining the same level of performance. The method's effectiveness lies in its dual-level decoupling learning approach: 1) separating the learning of video style from video generation acceleration, which allows for personalized style video generation without any personalized style video data, and 2) separating the acceleration of image generation from the acceleration of video motion generation, enhancing training efficiency and mitigating the negative effects of low-quality video data.","url_abs":"https://arxiv.org/abs/2402.00769v3","url_pdf":"https://arxiv.org/pdf/2402.00769v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"animatelcm-accelerating-the-animation-of","repo_url":"https://github.com/g-u-n/animatelcm","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"conditional-image-generation","task_name":"Conditional Image Generation"},{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"image-generation","task_name":"Image Generation"},{"task_slug":"motion-generation","task_name":"Motion Generation"},{"task_slug":"video-generation","task_name":"Video Generation"}],"methods":[{"method_slug":"diffusion","method_name":"Diffusion"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2402.00769","atlas_url":"https://app.syntology.ai/?focus=2402.00769","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.00769"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/g-u-n/animatelcm","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran_fixture":2,"ran":4,"ran_draft_wrong":3,"unverified":2},"by_repo_kind":{"official":{"samples":11,"ran":9,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"30befb7e4327e615","entry":"append_dims","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_svd/animate_lcm_utils.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_svd/animate_lcm_utils.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":2,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"30befb7e4327e615"}},{"code_sha256_prefix":"a09096da281af4a2","entry":"calculate_probabilities","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_svd/animate_lcm_utils.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_svd/animate_lcm_utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a09096da281af4a2"}},{"code_sha256_prefix":"688eeec067b04895","entry":"conv_nd","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_sd15/animatelcm/models/adapter.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_sd15/animatelcm/models/adapter.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"688eeec067b04895"}},{"code_sha256_prefix":"a15cfd7932844ef9","entry":"extract_into_tensor","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_svd/animate_lcm_utils.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_svd/animate_lcm_utils.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a15cfd7932844ef9"}},{"code_sha256_prefix":"e02151471b4f946b","entry":"rand_cosine_interpolated","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_svd/train_svd_lcm.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_svd/train_svd_lcm.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e02151471b4f946b"}},{"code_sha256_prefix":"fface7ec62e39a3b","entry":"rand_log_normal","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_svd/train_svd_lcm.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_svd/train_svd_lcm.py","link_basis":"plan_row","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"fface7ec62e39a3b"}},{"code_sha256_prefix":"85c93dd1ddb1cc9a","entry":"stratified_uniform","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_svd/train_svd_lcm.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_svd/train_svd_lcm.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"85c93dd1ddb1cc9a"}},{"code_sha256_prefix":"94b2fd7865382dc0","entry":"tensor2vid","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_svd/pipeline.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_svd/pipeline.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"94b2fd7865382dc0"}},{"code_sha256_prefix":"4719c763c53be3fe","entry":"zero_module","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_sd15/animatelcm/models/adapter.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_sd15/animatelcm/models/adapter.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4719c763c53be3fe"}},{"code_sha256_prefix":"ecd0fc28815b65ae","entry":"avg_pool_nd","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_sd15/animatelcm/models/adapter.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_sd15/animatelcm/models/adapter.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ecd0fc28815b65ae"}},{"code_sha256_prefix":"38f69a3d1e46016d","entry":"get_timestep_embedding","repo":"g-u-n/animatelcm","repo_kind":"official","path":"animatelcm_sd15/animatelcm/models/embeddings.py","file_url":"https://github.com/g-u-n/animatelcm/blob/HEAD/animatelcm_sd15/animatelcm/models/embeddings.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"38f69a3d1e46016d"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}