{"schema_version":"onlylabs.public_signal.v1","title":"StepFun Model: stepfun-ai/NextStep-1-f8ch16-Tokenizer","description":"StepFun model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/a5af86e7-03d5-4d99-a20c-7ccf3246e5d8","json_url":"https://onlylabs.fyi/signals/a5af86e7-03d5-4d99-a20c-7ccf3246e5d8/signal.json","generated_at":"2026-06-11T02:50:37.400763+00:00","org":{"slug":"stepfun","name":"StepFun","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/stepfun","dossier_json_url":"https://onlylabs.fyi/labs/stepfun/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/a5af86e7-03d5-4d99-a20c-7ccf3246e5d8","signal_json":"https://onlylabs.fyi/signals/a5af86e7-03d5-4d99-a20c-7ccf3246e5d8/signal.json","source":"https://huggingface.co/stepfun-ai/NextStep-1-f8ch16-Tokenizer","lab_dossier":"https://onlylabs.fyi/labs/stepfun","lab_dossier_json":"https://onlylabs.fyi/labs/stepfun/dossier.json","analysis":"https://onlylabs.fyi/analysis/stepfun","analysis_json":"https://onlylabs.fyi/analysis/stepfun/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/stepfun/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"StepFun published stepfun-ai/NextStep-1-f8ch16-Tokenizer. 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The decoder refinement **improves performance** while preserving robust reconstruction quality. We **recommend using this Image Tokenizer** for optimal results with NextStep-1 models. Usage ```py import torch from PIL import Image import numpy as np import torchvision.transforms as transforms from modeling_flux_vae import AutoencoderKL device = \"cuda\" dtype = torch.bfloat16 model_path = \"/path/to/vae_dir\" vae = AutoencoderKL.from_pretrained(model_path).to(device=device, dtype=dtype) pil2tensor = transforms.Compose( [ transforms.ToTensor(), transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5]), ] ) image = Image.open(\"/path/to/image.jpg\") pixel_values = pil2tensor(image).unsqueeze(0).to(device=device, dtype=dtype) encode latents = vae.encode(pixel_values).latent_dist.sample() decode sampled_images = vae.decode(latents).sample sampled_images = sampled_images.detach().cpu().to(torch.float32) def tensor_to_pil(tensor): image = tensor.detach().cpu().to(torch.float32) image = (image / 2 +..."},"evidence_pages":[{"url":"https://huggingface.co/stepfun-ai/NextStep-1-f8ch16-Tokenizer/raw/main/README.md","final_url":"https://huggingface.co/stepfun-ai/NextStep-1-f8ch16-Tokenizer/raw/main/README.md","title":"stepfun-ai/NextStep-1-f8ch16-Tokenizer model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:37.400763+00:00","bytes":2969,"raw_path":"537ea1816c318dc425f0f3bffb233da4fc3507341b243047ce76d45d1054c2de.md","content_hash":"bd2e3dbf75f746ab943d3c18f1d8f2a93ca5bcdd41b3db402eec884eca5c0e3e","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 tags: - NextStep - Image Tokenizer --- Improved Image Tokenizer This is an improved image tokenizer of NextStep-1, featuring a fine-tuned decoder with a frozen encoder. The decoder refinement **improves performance** while preserving robust reconstruction quality. We **recommend using this Image Tokenizer** for optimal results with NextStep-1 models. Usage ```py import torch from PIL import Image import numpy as np import torchvision.transforms as transforms from modeling_flux_vae import AutoencoderKL device = \"cuda\" dtype = torch.bfloat16 model_path = \"/path/to/vae_dir\" vae = AutoencoderKL.from_pretrained(model_path).to(device=device, dtype=dtype) pil2tensor = transforms.Compose( [ transforms.ToTensor(), transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5]), ] ) image = Image.open(\"/path/to/image.jpg\") pixel_values = pil2tensor(image).unsqueeze(0).to(device=device, dtype=dtype) encode latents = vae.encode(pixel_values).latent_dist.sample() decode sampled_images = vae.decode(latents).sample sampled_images = sampled_images.detach().cpu().to(torch.float32) def tensor_to_pil(tensor): image = tensor.detach().cpu().to(torch.float32) image = (image / 2 +..."}],"related_signals":[{"id":"75371011-2872-44b9-bf60-c41fb2e2f0fb","url":"https://onlylabs.fyi/signals/75371011-2872-44b9-bf60-c41fb2e2f0fb","source_url":"https://huggingface.co/stepfun-ai/Step-3.7-Flash","title":"stepfun-ai/Step-3.7-Flash","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"stepfun","name":"StepFun","category":"neolab"},"occurred_at":"2026-05-23T02:13:46+00:00","first_seen_at":"2026-06-06T01:49:42.562564+00:00","date_source":"source"},{"id":"1a84a279-2a4f-4253-80c9-4f07acd82b3f","url":"https://onlylabs.fyi/signals/1a84a279-2a4f-4253-80c9-4f07acd82b3f","source_url":"https://huggingface.co/stepfun-ai/Step-3.5-Flash-Base","title":"stepfun-ai/Step-3.5-Flash-Base","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"stepfun","name":"StepFun","category":"neolab"},"occurred_at":"2026-03-02T16:17:50+00:00","first_seen_at":"2026-06-06T01:49:42.562564+00:00","date_source":"source"},{"id":"65659b12-3d4e-4cb7-96f5-783dc1bc2372","url":"https://onlylabs.fyi/signals/65659b12-3d4e-4cb7-96f5-783dc1bc2372","source_url":"https://huggingface.co/stepfun-ai/Step-3.5-Flash-Base-Midtrain","title":"stepfun-ai/Step-3.5-Flash-Base-Midtrain","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"stepfun","name":"StepFun","category":"neolab"},"occurred_at":"2026-03-02T09:49:21+00:00","first_seen_at":"2026-06-06T01:49:42.562564+00:00","date_source":"source"},{"id":"59a33bc4-341e-4c3e-8230-749ae55f0530","url":"https://onlylabs.fyi/signals/59a33bc4-341e-4c3e-8230-749ae55f0530","source_url":"https://huggingface.co/stepfun-ai/NextStep-1.1-Pretrain-256px","title":"stepfun-ai/NextStep-1.1-Pretrain-256px","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"stepfun","name":"StepFun","category":"neolab"},"occurred_at":"2026-02-16T06:26:39+00:00","first_seen_at":"2026-06-06T01:49:42.562564+00:00","date_source":"source"},{"id":"8d249566-8324-459c-a4ba-999588e66894","url":"https://onlylabs.fyi/signals/8d249566-8324-459c-a4ba-999588e66894","source_url":"https://huggingface.co/stepfun-ai/Step3-VL-10B-FP8","title":"stepfun-ai/Step3-VL-10B-FP8","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"stepfun","name":"StepFun","category":"neolab"},"occurred_at":"2026-02-02T06:58:16+00:00","first_seen_at":"2026-06-06T01:49:42.562564+00:00","date_source":"source"},{"id":"8dfff472-9670-4ad2-b0b3-3e52cad3178f","url":"https://onlylabs.fyi/signals/8dfff472-9670-4ad2-b0b3-3e52cad3178f","source_url":"https://huggingface.co/stepfun-ai/Step-3.5-Flash","title":"stepfun-ai/Step-3.5-Flash","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"stepfun","name":"StepFun","category":"neolab"},"occurred_at":"2026-02-01T08:03:45+00:00","first_seen_at":"2026-06-06T01:49:42.562564+00:00","date_source":"source"}]}