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Update app.py
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app.py
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@@ -31,7 +31,7 @@ print(f'torch version:{torch.__version__}')
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import torch.utils.checkpoint
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from pytorch_lightning import seed_everything
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from diffusers import AutoencoderKL,
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from diffusers.utils import check_min_version
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from diffusers.utils.import_utils import is_xformers_available
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from transformers import CLIPTextModel, CLIPTokenizer, CLIPImageProcessor
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@@ -77,7 +77,7 @@ snapshot_download(
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pretrained_model_path = 'preset/models/sd-turbo'
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seesr_model_path = 'preset/models/seesr'
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scheduler =
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text_encoder = CLIPTextModel.from_pretrained(pretrained_model_path, subfolder="text_encoder")
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tokenizer = CLIPTokenizer.from_pretrained(pretrained_model_path, subfolder="tokenizer")
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vae = AutoencoderKL.from_pretrained(pretrained_model_path, subfolder="vae")
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import torch.utils.checkpoint
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from pytorch_lightning import seed_everything
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from diffusers import AutoencoderKL, DDIMScheduler
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from diffusers.utils import check_min_version
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from diffusers.utils.import_utils import is_xformers_available
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from transformers import CLIPTextModel, CLIPTokenizer, CLIPImageProcessor
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pretrained_model_path = 'preset/models/sd-turbo'
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seesr_model_path = 'preset/models/seesr'
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scheduler = DDIMScheduler.from_pretrained(pretrained_model_path, subfolder="scheduler")
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text_encoder = CLIPTextModel.from_pretrained(pretrained_model_path, subfolder="text_encoder")
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tokenizer = CLIPTokenizer.from_pretrained(pretrained_model_path, subfolder="tokenizer")
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vae = AutoencoderKL.from_pretrained(pretrained_model_path, subfolder="vae")
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