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scripts/controlnet_outpainting.py ADDED
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+ from diffusers import ControlNetModel,StableDiffusionXLControlNetPipeline
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+ import torch
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+ import requests
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+ from PIL import Image
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+ from io import BytesIO
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+
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+
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+ controlnet = ControlNetModel.from_pretrained(
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+ "destitech/controlnet-inpaint-dreamer-sdxl", torch_dtype=torch.float16, variant="fp16"
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+ )
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+
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+ response = requests.get("https://huggingface.co/datasets/OzzyGT/testing-resources/resolve/main/outpainting/313891870-adb6dc80-2e9e-420c-bac3-f93e6de8d06b.png?download=true")
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+ control_image = Image.open('/home/PicPilot/sample_data/example2.jpg')
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+
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+
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+ pipeline = StableDiffusionXLControlNetPipeline.from_pretrained(
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+ "RunDiffusion/Juggernaut-XL-v9",
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+ torch_dtype=torch.float16,
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+ variant="fp16",
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+ controlnet=controlnet,
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+ ).to("cuda")
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+
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+ image = pipeline(
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+ prompt='Showcase 4k',
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+ negative_prompt='low Resolution , Bad Resolution',
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+ height=1024,
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+ width=1024,
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+ guidance_scale=7.5,
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+ num_inference_steps=100,
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+ image=control_image,
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+ controlnet_conditioning_scale=0.9,
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+ control_guidance_end=0.9,
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+ ).images[0]
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+
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+ image.save('output.png')