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README.md
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pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
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pipe.load_lora_weights("Oedon42/oldpainter-lora")
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prompt = "
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image = pipe(prompt).images[0]
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```
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Here are some preview results of the model:
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## Training details
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pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
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pipe.load_lora_weights("Oedon42/oldpainter-lora")
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prompt = "1800s, 19th century, antiquity, black & white, Croatia, Europe, ruins"
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image = pipe(prompt).images[0]
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```
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Here are some preview results of the model:
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<div style="display: flex; flex-wrap: wrap;">
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<div style="flex: 50%; padding: 1px;">
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<img src="./image_0.png" alt="Preview 1" style="width: 80%;"/>
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</div>
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<div style="flex: 50%; padding: 1px;">
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<img src="./image_1.png" alt="Preview 2" style="width: 80%;"/>
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</div>
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<div style="flex: 50%; padding: 1px;">
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<img src="./image_2.png" alt="Preview 3" style="width: 80%;"/>
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</div>
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<div style="flex: 50%; padding: 1px;">
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<img src="./image_3.png" alt="Preview 4" style="width: 80%;"/>
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</div>
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</div>
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## Training details
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