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- ---
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- license: mit
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- library_name: diffusers
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ library_name: diffusers
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+ pipeline_tag: image-to-image
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+ ---
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+
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+ # DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
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+
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+ SIGGRAPH 2024
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+
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+ - Project Page: https://dilightnet.github.io/
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+ - Paper: https://arxiv.org/abs/2402.11929
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+ - Full Usage: please check https://github.com/iamNCJ/DiLightNet
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+
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+ Example Usage:
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+
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+ ```python
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+ from diffusers.utils import get_class_from_dynamic_module
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+ NeuralTextureControlNetModel = get_class_from_dynamic_module(
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+ "dilightnet/model_helpers",
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+ "neuraltexture_controlnet.py",
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+ "NeuralTextureControlNetModel"
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+ )
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+ neuraltexture_controlnet = NeuralTextureControlNetModel.from_pretrained("DiLightNet/DiLightNet")
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+
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+ pipe = StableDiffusionControlNetPipeline.from_pretrained(
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+ "stabilityai/stable-diffusion-2-1", controlnet=neuraltexture_controlnet,
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+ )
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+ cond_image = torch.randn((1, 16, 512, 512))
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+ image = pipe("some text prompt", image=cond_image).images[0]
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+ ```