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AI Models 84753
- flux-ip-adapter-v2↗
XLabs-AI
The IP adapter is trained on a resolution of 512x512 for 150k steps and 1024x1024 for 350k steps while maintaining the aspect ratio. We release **v2 version** - which can be used directly in ComfyUI! See examples of our models results below. Also, some generation results with input images are provided in "Files and versions" To try our models, you have 2 options: 1. Use main.py from our official repo 2. Use our custom nodes for ComfyUI and test it with provided workflows (check out folder /workflows)
- efda5614↗
zeras141a
- spt-absa-bert-400k↗
zhang-yice
- Ektome-Qwen2.5-3Bi-PristinelyUncensored↗
Zynerji
- gemma-4-31B-it-Claude-Opus-Distill-GGUF↗
Abiray
- task-17-google-gemma-2b↗
ahsbdcpu
- WebSailor-7B↗
Alibaba-NLP
- Nova 2.0 Omni (Medium)↗
Amazon
- Drama-3-Japanese↗
Aratako
- wav2vec2-large-robust-12-ft-emotion-msp-dim↗
audeering
Please note that this model is for research purpose only. A commercial license for a model that has been trained on much more data can be acquired with audEERING. The model expects a raw audio signal as input, and outputs predictions for arousal, dominance and valence in a range of approximately 0...1. In addition, it provides the pooled states of the last transformer layer. The model was created by fine-tuning Wav2Vec2-Large-Robust on MSP-Podcast (v1.7). The model was pruned from 24 to 12 transformer layers before fine-tuning. An ONNX export of the model is available from doi:10.5281/zenodo.6221127. Further details are given in the associated paper and tutorial.
