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Download text encoder
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app.py
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@@ -9,6 +9,7 @@ import spaces
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import torch
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from hyvideo.utils.file_utils import save_videos_grid
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from hyvideo.config import parse_args
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from hyvideo.inference import HunyuanVideoSampler
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from hyvideo.constants import NEGATIVE_PROMPT
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@@ -17,6 +18,9 @@ from huggingface_hub import snapshot_download
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if torch.cuda.device_count() > 0:
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snapshot_download(repo_id="tencent/HunyuanVideo", repo_type="model", local_dir="ckpts", force_download=True)
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def initialize_model(model_path):
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print('initialize_model: ' + model_path)
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import torch
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from hyvideo.utils.file_utils import save_videos_grid
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from hyvideo.utils.preprocess_text_encoder_tokenizer_utils import preprocess_text_encoder_tokenizer
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from hyvideo.config import parse_args
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from hyvideo.inference import HunyuanVideoSampler
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from hyvideo.constants import NEGATIVE_PROMPT
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if torch.cuda.device_count() > 0:
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snapshot_download(repo_id="tencent/HunyuanVideo", repo_type="model", local_dir="ckpts", force_download=True)
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snapshot_download(repo_id="xtuner/llava-llama-3-8b-v1_1-transformers", repo_type="model", local_dir="ckpts/llava-llama-3-8b-v1_1-transformers", force_download=True)
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preprocess_text_encoder_tokenizer(input_dir = "ckpts/llava-llama-3-8b-v1_1-transformers", output_dir = "ckpts/text_encoder")
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snapshot_download(repo_id="openai/clip-vit-large-patch14", repo_type="model", local_dir="ckpts/text_encoder_2", force_download=True)
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def initialize_model(model_path):
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print('initialize_model: ' + model_path)
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