Instructions to use smthem/ltx-2-19b-dev-diffusers-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smthem/ltx-2-19b-dev-diffusers-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smthem/ltx-2-19b-dev-diffusers-test", 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": "LTX2Vocoder", | |
| "_diffusers_version": "0.36.0", | |
| "hidden_channels": 1024, | |
| "in_channels": 128, | |
| "leaky_relu_negative_slope": 0.1, | |
| "out_channels": 2, | |
| "output_sampling_rate": 24000, | |
| "resnet_dilations": [ | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ] | |
| ], | |
| "resnet_kernel_sizes": [ | |
| 3, | |
| 7, | |
| 11 | |
| ], | |
| "upsample_factors": [ | |
| 6, | |
| 5, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "upsample_kernel_sizes": [ | |
| 16, | |
| 15, | |
| 8, | |
| 4, | |
| 4 | |
| ] | |
| } | |