Instructions to use OzzyGT/LTX-2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/LTX-2.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/LTX-2.3", 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
| { | |
| "_class_name": "LTX2Pipeline", | |
| "_diffusers_version": "0.37.0.dev0", | |
| "audio_vae": [ | |
| "diffusers", | |
| "AutoencoderKLLTX2Audio" | |
| ], | |
| "connectors": [ | |
| "ltx2", | |
| "LTX2TextConnectors" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Gemma3ForConditionalGeneration" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "GemmaTokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "LTX2VideoTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLLTX2Video" | |
| ], | |
| "vocoder": [ | |
| "ltx2", | |
| "LTX2VocoderWithBWE" | |
| ] | |
| } | |