Instructions to use DouraVITA/ltx-ugc-bundle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use DouraVITA/ltx-ugc-bundle with LTX.io:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --frozen
# Download the weights from this repo, plus the Gemma text encoder hf download DouraVITA/ltx-ugc-bundle --local-dir models/ltx-ugc-bundle hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/ltx-ugc-bundle/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/ltx-ugc-bundle/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/ltx-ugc-bundle/<checkpoint>.safetensors \ --distilled-lora models/ltx-ugc-bundle/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/ltx-ugc-bundle/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
File size: 1,690 Bytes
8d6fabc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | #!/usr/bin/env python3
import subprocess
import os
import re
import datetime
import time
import argparse
from __build__ import build, log_step, log_step_info
_THIS_DIR = os.path.dirname(os.path.abspath(__file__))
_FILE_PY_PROJECT = os.path.join(_THIS_DIR, 'pyproject.toml')
parser = argparse.ArgumentParser()
parser.add_argument(
"-m", "--message", help="The git commit message", required=True, action="store", type=str
)
args = parser.parse_args()
start = time.time()
build()
log_step(msg='Updating version in pyproject.toml')
py_project = ''
with open(_FILE_PY_PROJECT, "r", encoding='utf-8') as f:
py_project = f.read()
version = re.search(r'^\s*version\s*=\s*"(.*?)"', py_project, flags=re.MULTILINE)
version_old = version[1]
now = datetime.datetime.now()
version_new = version_old.split('.')
version_new[-1] = f'{str(now.year)[2:]}{now.month:02}{now.day:02}{now.hour:02}{now.minute:02}'
version_new = '.'.join(version_new)
log_step_info(f'Updating from v{version_old} to v{version_new}')
py_project = py_project.replace(version_old, version_new)
with open(_FILE_PY_PROJECT, "w", encoding='utf-8') as f:
f.write(py_project)
log_step(status="Done")
log_step('Running git add')
process = subprocess.Popen(['git', 'add', '.'], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = process.communicate()
log_step(status="Done")
log_step('Running git commit')
process = subprocess.Popen(['git', 'commit', '-a', '-v', '-m', args.message],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
stdout, stderr = process.communicate()
log_step(status="Done")
print(f'Finished all in {round(time.time() - start, 3)}s')
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