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README.md
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This repository contains a Depth ControlNet for FLUX.1-dev model jointly trained by researchers from [InstantX Team](https://huggingface.co/InstantX) and [Shakker Labs](https://huggingface.co/Shakker-Labs).
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# Model Cards
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- The model consists of 4 FluxTransformerBlock and 1 FluxSingleTransformerBlock.
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- This checkpoint is trained on both real and generated image datasets. with 16\*A800 for 50K steps. The batch size 16\*4=64 with resolution=1024. The learning rate is set to 5e-6.
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# Showcases
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<div class="container">
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<img src="./assets/teaser.png" width="1024"/>
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</div>
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This repository contains a Depth ControlNet for FLUX.1-dev model jointly trained by researchers from [InstantX Team](https://huggingface.co/InstantX) and [Shakker Labs](https://huggingface.co/Shakker-Labs).
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<div class="container">
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<img src="./assets/poster.png" width="1024"/>
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</div>
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# Model Cards
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- The model consists of 4 FluxTransformerBlock and 1 FluxSingleTransformerBlock.
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- This checkpoint is trained on both real and generated image datasets. with 16\*A800 for 50K steps. The batch size 16\*4=64 with resolution=1024. The learning rate is set to 5e-6.
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# Showcases
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<div class="container">
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<img src="./assets/teaser.png" width="1024"/>
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</div>
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