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+ # ⚡ Flux.1-dev: Depth ControlNet ⚡
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+
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+ A controlNet for depth map developped by Jasper research team.
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+
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+
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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
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+
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+ ```python
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+ import torch
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+ from diffusers.utils import load_image
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+ from diffusers import FluxControlNetModel
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+ from diffusers.pipelines import FluxControlNetPipeline
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+
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+ # Load pipeline
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+ controlnet = FluxControlNetModel.from_pretrained(
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+ "jasperai/Flux.1-dev-Controlnet-Depth",
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+ torch_dtype=torch.bfloat16
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+ )
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+ pipe = FluxControlNetPipeline.from_pretrained(
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+ "black-forest-labs/FLUX.1-dev",
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+ controlnet=controlnet,
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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/InstantX/FLUX.1-dev-Controlnet-Canny/resolve/main/canny.jpg")
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+
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+ image = pipe(
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+ prompt,
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+ control_image=control_image,
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+ controlnet_conditioning_scale=0.6,
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+ num_inference_steps=28,
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+ guidance_scale=3.5,
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+ ).images[0]
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+ image.save("image.jpg")
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+ ```
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+
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+ <p align="center">
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+ <img style="width:700px;" src="assets/flash_pixart.jpg">
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+ </p>
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+
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+ # Licence
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+ The licence under the Flux.1-dev model applies to this model.