Instructions to use Darshita-jayaprakash/Lightricks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Darshita-jayaprakash/Lightricks with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Darshita-jayaprakash/Lightricks", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: other | |
| license_name: ltx-2-community-license-agreement | |
| license_link: LICENSE | |
| datasets: | |
| - HuggingFaceFW/finetranslations | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - Lightricks/LTX-2 | |
| new_version: Lightricks/LTX-2 | |
| pipeline_tag: text-to-image | |
| library_name: diffusers | |