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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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```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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You will need to have the `huggingface_hub` library installed and be logged in with your Hugging Face credentials.
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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)
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