Anonymous commited on
Commit
d24f7b8
1 Parent(s): 144c63e

add spaces

Browse files
Files changed (1) hide show
  1. app.py +8 -11
app.py CHANGED
@@ -24,6 +24,12 @@ from utils.utils_freetraj import plan_path
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  MAX_KEYS = 5
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  def check_move(trajectory, video_length=16):
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  traj_len = len(trajectory)
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  if traj_len < 2:
@@ -40,7 +46,7 @@ def check_move(trajectory, video_length=16):
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  return True
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- @spaces.GPU(duration=600)
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  def infer(*user_args):
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  prompt_in = user_args[0]
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  target_indices = user_args[1]
@@ -62,8 +68,6 @@ def infer(*user_args):
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  video_length = 16
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  width = 512
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  height = 320
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- ckpt_dir_512 = "checkpoints/base_512_v2"
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- ckpt_path_512 = "checkpoints/base_512_v2/model.ckpt"
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  if radio_mode == 'ori':
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  config_512 = "configs/inference_t2v_512_v2.0.yaml"
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  else:
@@ -98,14 +102,7 @@ def infer(*user_args):
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  model_config_512 = config_512.pop("model", OmegaConf.create())
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  model = instantiate_from_config(model_config_512)
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  model = model.cuda()
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- if not os.path.exists(ckpt_path_512):
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- os.makedirs(ckpt_dir_512, exist_ok=True)
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- hf_hub_download(repo_id="VideoCrafter/VideoCrafter2", filename="model.ckpt", local_dir=ckpt_dir_512)
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- try:
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- model = load_model_checkpoint(model, ckpt_path_512)
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- except:
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- hf_hub_download(repo_id="VideoCrafter/VideoCrafter2", filename="model.ckpt", local_dir=ckpt_dir_512, force_download=True)
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- model = load_model_checkpoint(model, ckpt_path_512)
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  model.eval()
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  if seed is None:
 
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  MAX_KEYS = 5
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+ ckpt_dir_512 = "checkpoints/base_512_v2"
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+ ckpt_path_512 = "checkpoints/base_512_v2/model.ckpt"
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+ if not os.path.exists(ckpt_path_512):
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+ os.makedirs(ckpt_dir_512, exist_ok=True)
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+ hf_hub_download(repo_id="VideoCrafter/VideoCrafter2", filename="model.ckpt", local_dir=ckpt_dir_512, force_download=True)
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+
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  def check_move(trajectory, video_length=16):
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  traj_len = len(trajectory)
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  if traj_len < 2:
 
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  return True
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+ @spaces.GPU(duration=180)
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  def infer(*user_args):
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  prompt_in = user_args[0]
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  target_indices = user_args[1]
 
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  video_length = 16
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  width = 512
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  height = 320
 
 
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  if radio_mode == 'ori':
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  config_512 = "configs/inference_t2v_512_v2.0.yaml"
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  else:
 
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  model_config_512 = config_512.pop("model", OmegaConf.create())
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  model = instantiate_from_config(model_config_512)
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  model = model.cuda()
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+ model = load_model_checkpoint(model, ckpt_path_512)
 
 
 
 
 
 
 
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  model.eval()
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  if seed is None: