Instructions to use diffusers-internal-dev/ltx-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/ltx-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("diffusers-internal-dev/ltx-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": "LTXVideoTransformer3DModel", | |
| "_diffusers_version": "0.32.0.dev0", | |
| "activation_fn": "gelu-approximate", | |
| "attention_bias": true, | |
| "attention_head_dim": 64, | |
| "attention_out_bias": true, | |
| "caption_channels": 4096, | |
| "cross_attention_dim": 2048, | |
| "in_channels": 128, | |
| "norm_elementwise_affine": false, | |
| "norm_eps": 1e-06, | |
| "num_attention_heads": 32, | |
| "num_layers": 28, | |
| "out_channels": 128, | |
| "patch_size": 1, | |
| "patch_size_t": 1, | |
| "qk_norm": "rms_norm_across_heads" | |
| } | |