Create demo.py
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demo.py
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from diffusers.utils import load_image, check_min_version
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import torch
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# Local File
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from pipeline_sd3_controlnet_inpainting import StableDiffusion3ControlNetInpaintingPipeline, one_image_and_mask
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from controlnet_sd3 import SD3ControlNetModel
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check_min_version("0.29.2")
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# Build model
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controlnet = SD3ControlNetModel.from_pretrained(
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"alimama-creative/SD3-controlnet-inpaint",
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use_safetensors=True,
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)
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pipe = StableDiffusion3ControlNetInpaintingPipeline.from_pretrained(
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"stabilityai/stable-diffusion-3-medium-diffusers",
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controlnet=controlnet,
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torch_dtype=torch.float16,
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)
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pipe.text_encoder.to(torch.float16)
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pipe.controlnet.to(torch.float16)
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pipe.to("cuda")
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# Load image
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image = load_image(
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"https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/blob/main/prod.png"
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)
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mask = load_image(
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"https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/blob/main/mask.jpeg"
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)
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# Set args
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width = 1024
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height = 1024
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prompt="a woman wearing a white jacket, black hat and black pants is standing in a field, the hat writes SD3"
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generator = torch.Generator(device="cuda").manual_seed(24)
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input_dict = one_image_and_mask(image, mask, size=(width, height), latent_scale=pipe.vae_scale_factor, invert_mask = True)
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# Inference
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res_image = pipe(
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negative_prompt='deformed, distorted, disfigured, poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, mutated hands and fingers, disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, NSFW',
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prompt=prompt,
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height=height,
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width=width,
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control_image= input_dict['pil_masked_image'], # H, W, C,
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control_mask=input_dict["mask"] > 0.5, # B,1,H,W
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num_inference_steps=28,
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generator=generator,
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controlnet_conditioning_scale=0.95,
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guidance_scale=7,
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).images[0]
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res_image.save(f'res.png')
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