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  A controlNet for depth map developped by Jasper research team.
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-
 
 
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  # How to use
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  This model can be used directly with the `diffusers` library
@@ -24,8 +26,9 @@ pipe = FluxControlNetPipeline.from_pretrained(
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  torch_dtype=torch.bfloat16
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  )
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  # Load a control image
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- control_image = load_image("https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Canny/resolve/main/canny.jpg")
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  image = pipe(
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  prompt,
 
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  A controlNet for depth map developped by Jasper research team.
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+ <p align="center">
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+ <img style="width:700px;" src="examples/showcase.jpg">
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+ </p>
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  # How to use
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  This model can be used directly with the `diffusers` library
 
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  torch_dtype=torch.bfloat16
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  )
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+
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  # Load a control image
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+ control_image = load_image("https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Depth/resolve/main/examples/depth.jpg")
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  image = pipe(
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  prompt,