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diffusers-cd_cat256_lpips

Diffusers
ConsistencyModelPipeline
generative model
unconditional image generation
consistency-model
4 papers
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@@ -45,7 +45,7 @@ The `diffusers` pipeline for the `cd_cat256_lpips` model can be downloaded as fo
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  ```python
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  from diffusers import ConsistencyModelPipeline
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- pipe = ConsistencyModelPipeline.from_pretrained("dg845/diffusers-cd_cat256_lpips")
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  ```
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  ## Usage
@@ -61,7 +61,7 @@ from diffusers import ConsistencyModelPipeline
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  device = "cuda"
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  # Load the cd_cat256_lpips checkpoint.
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- model_id_or_path = "dg845/diffusers-cd_cat256_lpips"
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  pipe = ConsistencyModelPipeline.from_pretrained(model_id_or_path, torch_dtype=torch.float16)
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  pipe.to(device)
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  ```python
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  from diffusers import ConsistencyModelPipeline
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+ pipe = ConsistencyModelPipeline.from_pretrained("openai/diffusers-cd_cat256_lpips")
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  ```
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  ## Usage
 
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  device = "cuda"
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  # Load the cd_cat256_lpips checkpoint.
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+ model_id_or_path = "openai/diffusers-cd_cat256_lpips"
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  pipe = ConsistencyModelPipeline.from_pretrained(model_id_or_path, torch_dtype=torch.float16)
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  pipe.to(device)
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