{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Repo: openai/consistencydecoder","description":"OpenAI repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/5765cd96-f91f-41a5-8ef3-b070e6fc6089","json_url":"https://onlylabs.fyi/signals/5765cd96-f91f-41a5-8ef3-b070e6fc6089/signal.json","generated_at":"2026-06-11T04:02:09.141682+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/5765cd96-f91f-41a5-8ef3-b070e6fc6089","signal_json":"https://onlylabs.fyi/signals/5765cd96-f91f-41a5-8ef3-b070e6fc6089/signal.json","source":"https://github.com/openai/consistencydecoder","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":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"OpenAI published openai/consistencydecoder (Python). 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Installation ``` $ pip install git+https://github.com/openai/consistencydecoder.git ``` Usage ```python import torch from diffusers import StableDiffusionPipeline from consistencydecoder import ConsistencyDecoder, save_image, load_image encode with stable diffusion vae pipe = StableDiffusionPipeline.from_pretrained( \"runwayml/stable-diffusion-v1-5\", torch_dtype=torch.float16, device=\"cuda:0\" ) pipe.vae.cuda() decoder_consistency = ConsistencyDecoder(device=\"cuda:0\") # Model size: 2.49 GB image = load_image(\"assets/gt1.png\", size=(256, 256), center_crop=True) latent = pipe.vae.encode(image.half().cuda()).latent_dist.mean decode with gan sample_gan =..."},"evidence_pages":[{"url":"https://github.com/openai/consistencydecoder","final_url":"https://github.com/openai/consistencydecoder","title":"openai/consistencydecoder repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T04:02:09.141682+00:00","bytes":9305,"raw_path":"efbf15ef421b2ba455b965a021692ae5af48424f227580bb159741c6e70102b0.json","content_hash":"e33e00cb4ca949f375f791c49387e7f6c058aa368e516f60884b41902ba3655b","excerpt_chars":1200,"truncated":true,"excerpt":"openai/consistencydecoder Description: Consistency Distilled Diff VAE Language: Python License: MIT Stars: 2214 Forks: 80 Open issues: 19 Created: 2023-11-02T13:06:36Z Pushed: 2023-11-07T11:21:38Z Default branch: main Fork: no Archived: yes README: Consistency Decoder [[DALL·E 3]](https://openai.com/dall-e-3) [[Improving Image Generation with Better Captions]](https://cdn.openai.com/papers/dall-e-3.pdf) [[Consistency Models]](https://arxiv.org/abs/2303.01469) Improved decoding for stable diffusion vaes. 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