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Binettebob22
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bc32c80
1
Parent(s):
a3892c1
Create Lactation
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Lactation
ADDED
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from diffusers import DiffusionPipeline, UniPCMultistepScheduler
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import torch
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pipeline = DiffusionPipeline.from_pretrained(
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"andite/anything-v4.0", torch_dtype=torch.float16, safety_checker=None
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).to("cuda")
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pipeline.scheduler = UniPCMultistepScheduler.from_config(pipeline.scheduler.config)
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# uncomment to download the safetensor weights
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#!wget https://civitai.com/models/109643/real-and-animebreast-milklactationbreast-milk-drippingspraying-breast-milkgrabbing-breastsbreast-squeezenipple-pinch-and
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pipeline.load_lora_weights("."spraying breast milk_SD1.5v1.safetensors")
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prompt = "masterpiece, illustration, ultra-detailed, cityscape, san francisco, golden gate bridge, california, bay area, in the snow, beautiful detailed starry sky"
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negative_prompt = "lowres, cropped, worst quality, low quality, normal quality, artifacts, signature, watermark, username, blurry, more than one bridge, bad architecture"
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images = pipeline(
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prompt=prompt,
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negative_prompt=negative_prompt,
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width=512,
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height=512,
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num_inference_steps=25,
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num_images_per_prompt=4,
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generator=torch.manual_seed(0),
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).images
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from PIL import Image
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def image_grid(imgs, rows=2, cols=2):
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w, h = imgs[0].size
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grid = Image.new("RGB", size=(cols * w, rows * h))
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for i, img in enumerate(imgs):
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grid.paste(img, box=(i % cols * w, i // cols * h))
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return grid
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image_grid(images)
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