Rename Example1.png to Example_LTX/Example1.png

Upload Example1.png

Upload 4 files

Upload __init__.py

Upload 4 files

Rename ltx_video/__init__.py to ltx_video/utils/__init__.py

Upload __init__.py

Upload rf.py

Rename ltx_video/__init__.py to ltx_video/schedulers/__init__.py

Upload __init__.py

Upload 2 files

Rename ltx_video/__init__.py to ltx_video/pipelines/__init__.py

Upload __init__.py

Upload __init__.py

Upload 4 files

Rename ltx_video/models/__init__.py to ltx_video/models/transformers/__init__.py

Upload __init__.py

Upload 10 files

Rename __init__.py to ltx_video/models/autoencoders/__init__.py

Upload __init__.py

Upload 6 files

Rename ltxv-2b-0.9.1.yaml to configs/ltxv-2b-0.9.1.yaml

Upload ltxv-2b-0.9.1.yaml

Allocation per seconds

Delete inference_utils.py

Delete tmp

Delete results

Delete pretrained_weight

Delete video_to_video

Delete video_super_resolution

Delete star_examples

Delete __pycache__

Dynamic allocation

Upload 2 files

@spaces.GPU(duration=240)

Upload 2 files

Upload 2 files

Download

@spaces.GPU(duration=180)

I2VGen-XL-based/

I2VGen-XL-based/

model_file_path = os.path.join('pretrained_weight', 'heavy_deg.pt')

inputs=[input_video, input_text, upscale, max_chunk_len, chunk_size],

Restore examples

heavy_deg.pt

heavy_deg.pt

heavy_deg.pt

cache_examples=True,

from huggingface_hub import hf_hub_download

hf_hub_download(repo_id="SherryX/STAR", filename="I2VGen-XL-based/heavy_deg.pt", local_dir="pretrained_weight")