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boredape_diffusion

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Update README.md

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@@ -44,8 +44,8 @@ import numpy as np
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  model_id = "runwayml/stable-diffusion-v1-5"
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- unet = UNet2DConditionModel.from_pretrained("ckandemir/bayc-diffusion", subfolder="unet")
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- text_encoder = CLIPTextModel.from_pretrained("ckandemir/bayc-diffusion",subfolder="text_encoder")
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  pipeline = StableDiffusionPipeline.from_pretrained(
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  model_id, unet=unet, text_encoder=text_encoder, dtype=torch.float16, use_safetensors=True
 
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  model_id = "runwayml/stable-diffusion-v1-5"
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+ unet = UNet2DConditionModel.from_pretrained("ckandemir/boredape_diffusion", subfolder="unet")
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+ text_encoder = CLIPTextModel.from_pretrained("ckandemir/boredape_diffusion",subfolder="text_encoder")
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  pipeline = StableDiffusionPipeline.from_pretrained(
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  model_id, unet=unet, text_encoder=text_encoder, dtype=torch.float16, use_safetensors=True