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@@ -12,6 +12,8 @@ The YOSO was proposed in You Only Sample Once: Taming One-Step Text-To-Image Syn
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  ### 1-step inference
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  1-step inference is only allowed based on SD v1.5 for now. And you should prepare the informative initialization according to the paper for better results.
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  ```python
 
 
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  pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype = torch.float16)
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  pipeline = pipeline.to('cuda')
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  pipeline.scheduler = LCMScheduler.from_config(pipeline.scheduler.config)
 
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  ### 1-step inference
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  1-step inference is only allowed based on SD v1.5 for now. And you should prepare the informative initialization according to the paper for better results.
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  ```python
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+ import torch
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+ from diffusers import DiffusionPipeline, LCMScheduler
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  pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype = torch.float16)
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  pipeline = pipeline.to('cuda')
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  pipeline.scheduler = LCMScheduler.from_config(pipeline.scheduler.config)