Wan2.2 S2V 14B Module is a component designed for video generation tasks, specifically providing S2V-specific layers as a standalone module. According to the available evidence, this module consists of 165 tensors and has a size of 4.01 GB in bf16 format. It includes layers such as audio_injector, casual_audio_encoder, cond_encoder, frame_packer, and trainable_cond_mask, and is described as being bit-exact from the official weights. The module is intended to be stacked onto any 16-channel Wan 14B T2V-style trunk, including versions like Wan2.1 or 2.2 T2V and finetunes such as Bernini-R. When used in this way, ComfyUI is able to detect the resulting model. The evidence also indicates that the module is distributed under the Apache-2.0 license, suggesting it is open source. Delivery and usage options include compatibility with libraries, inference providers, notebooks, and local applications, as referenced by instructions for use with Wan2.2 and mentions of Google Colab and Kaggle. The evidence does not specify a particular audience or use case beyond its technical integration details, nor does it provide further information about pricing beyond the open-source license.
In the Other AI space, Wan2.2 S2V 14B Module takes a focused approach. Enabling developers to add audio-to-video generation capabilities to custom AI pipelines using open-source models. Wan2.2 S2V 14B Module is an open-source project aimed at AI developers and researchers. The project is open source (GPL-3.0). The product ships for the web and API, and it can be self-hosted.
It is developed by drozbay, and the product first shipped in 2023. The project is developed in the open on GitHub with 2.8k stars and 202 commits in the last 90 days. Across PulseGate's embedding index, Wan2.2 S2V 14B Module has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are audio-to-video, comfyUI integration, and S2V layers.
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drozbay/Wan2.2-S2V-14B-module discovered by the PulseGate indexer
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