{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Simplifying, stabilizing, and scaling continuous-time consistency models","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/31bffae3-bd0e-4a74-a620-af6dd48d227d","json_url":"https://onlylabs.fyi/signals/31bffae3-bd0e-4a74-a620-af6dd48d227d/signal.json","generated_at":"2026-06-08T15:45:55.574+00:00","org":{"slug":"openai","name":"OpenAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/openai","dossier_json_url":"https://onlylabs.fyi/labs/openai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/31bffae3-bd0e-4a74-a620-af6dd48d227d","signal_json":"https://onlylabs.fyi/signals/31bffae3-bd0e-4a74-a620-af6dd48d227d/signal.json","source":"https://openai.com/index/simplifying-stabilizing-and-scaling-continuous-time-consistency-models","lab_dossier":"https://onlylabs.fyi/labs/openai","lab_dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis":"https://onlylabs.fyi/analysis/openai","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"evals","label":"Evals and quality","url":"https://onlylabs.fyi/data-radar/evals","json_url":"https://onlylabs.fyi/data-radar/evals/signals.json"},{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"}]}},"answer_pack":{"answer":"OpenAI published Simplifying, stabilizing, and scaling continuous-time consistency models. 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Loading… Share Diffusion models have revolutionized generative AI, enabling remarkable advances in generating realistic images, 3D models, audio, and video. However, despite their impressive results, these models are slow at sampling. We are sharing a new approach, called sCM, which simplifies the theoretical formulation of continuous-time consistency models, allowing us to stabilize and scale their training for large scale datasets. This approach achieves comparable sample quality to leading diffusion models, while using only two sampling steps. We are also sharing our research paper⁠ to support further progress in this field. 00:00 Sampling procedure of consistency models. Sampling time measured on a single A100 GPU with batch size = 1. 00:00 Sampling procedure of diffusion models. Sampling time measured on a single A100 GPU with batch size = 1. Introduction Current sampling approaches of..."},"evidence_pages":[{"url":"https://openai.com/index/simplifying-stabilizing-and-scaling-continuous-time-consistency-models","final_url":"https://openai.com/index/simplifying-stabilizing-and-scaling-continuous-time-consistency-models","title":"Simplifying, stabilizing, and scaling continuous-time consistency models","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:45:55.574+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Simplifying, stabilizing, and scaling continuous-time consistency models | OpenAI October 23, 2024 Simplifying, stabilizing, and scaling continuous-time consistency models Continuous-time consistency models with sample quality comparable to leading diffusion models in just two sampling steps. Loading… Share Diffusion models have revolutionized generative AI, enabling remarkable advances in generating realistic images, 3D models, audio, and video. However, despite their impressive results, these models are slow at sampling. We are sharing a new approach, called sCM, which simplifies the theoretical formulation of continuous-time consistency models, allowing us to stabilize and scale their training for large scale datasets. This approach achieves comparable sample quality to leading diffusion models, while using only two sampling steps. We are also sharing our research paper⁠ to support further progress in this field. 00:00 Sampling procedure of consistency models. Sampling time measured on a single A100 GPU with batch size = 1. 00:00 Sampling procedure of diffusion models. Sampling time measured on a single A100 GPU with batch size = 1. 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