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  See `fp8_inference_example.py` for a complete example.
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- # Pushing Model to Hugging Face Hub
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- To push your FP8 quantized model to the Hugging Face Hub, use the included script:
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-
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- ```bash
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- python push_model_to_hub.py --repo_id "ABDALLALSWAITI/FLUX.1-dev-ControlNet-Union-Pro-2.0-fp8"
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- ```
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-
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- You will need to have the `huggingface_hub` library installed and be logged in with your Hugging Face credentials.
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-
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  # Resources
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  - [InstantX/FLUX.1-dev-IP-Adapter](https://huggingface.co/InstantX/FLUX.1-dev-IP-Adapter)
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  - [InstantX/FLUX.1-dev-Controlnet-Canny](https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Canny)
 
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  See `fp8_inference_example.py` for a complete example.
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  # Resources
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  - [InstantX/FLUX.1-dev-IP-Adapter](https://huggingface.co/InstantX/FLUX.1-dev-IP-Adapter)
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  - [InstantX/FLUX.1-dev-Controlnet-Canny](https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Canny)