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README.md
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from diffusers import HunyuanDiT2DControlNetModel, HunyuanDiTControlNetPipeline
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import torch
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controlnet = HunyuanDiT2DControlNetModel.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Distilled-Depth", torch_dtype=torch.float16)
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pipe = HunyuanDiTControlNetPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-Diffusers-Distilled", controlnet=controlnet, torch_dtype=torch.float16)
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pipe.to("cuda")
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from diffusers.utils import load_image
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cond_image = load_image('https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Distilled-Depth/resolve/main/depth.jpg?download=true')
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## You may also use English prompt as HunyuanDiT supports both English and Chinese
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prompt="在茂密的森林中,一只黑白相间的熊猫静静地坐在绿树红花中,周围是山川和海洋。背景是白天的森林,光线充足。照片采用特写、平视和居中构图的方式,呈现出写实的效果"
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#prompt="In the dense forest, a black and white panda sits quietly among the green trees and red flowers, surrounded by mountains and oceans. The background is a daytime forest with ample light. The photo uses a close-up, eye-level, and centered composition to create a realistic effect."
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torch.manual_seed(42)
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image = pipe(
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prompt,
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negative_prompt='错误的眼睛,糟糕的人脸,毁容,糟糕的艺术,变形,多余的肢体,模糊的颜色,模糊,重复,病态,残缺,',
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height=1024,
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width=1024,
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guidance_scale=6.0,
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control_image=cond_image,
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num_inference_steps=50,
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).images[0]
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