krea/krea-realtime-video
text-to-video model by krea
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Model card & documentation
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Krea Realtime 14B is distilled from the Wan 2.1 14B text-to-video model using Self-Forcing, a technique for converting regular video diffusion models into autoregressive models. It achieves a text-to-video inference speed of 11fps using 4 inference steps on a single NVIDIA B200 GPU. For more details on our training methodology and sampling innovations, refer to our technical blog post. Inference code can be found here. Krea realtime allows users to stream real videos, webcam inputs, or canvas primitives into the model, unlocking controllable video synthesis and editing Krea realtime allows users to generate videos in a streaming fashion with 1s time to first frame. Set up Run And use the web app at http://localhost:8000/ in your browser (for more advanced use-cases and custom pipeline check out our GitHub repository: https://github.com/krea-ai/realtime-video) Krea Realtime 14B can be used with the diffusers library utilizing the new Modular Diffusers structure Text…
Read the full model card ↗ · Preview checked 2026-10-30T20:52:10.276Z
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Model overview
krea/krea-realtime-video is a text-to-video model repository published by krea on Hugging Face. The source reports the diffusers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-video
- Library
- diffusers
- Recent downloads (30 days)
- 33,700
- Cumulative likes
- 310
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 14,288,491,584
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-10-08T00:16:32.000Z
- Last modified
- 2026-09-08T04:56:39.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Wan-AI/Wan2.1-T2V-14B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.159Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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