Instructions to use hf-internal-testing/tiny-ltx2-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-ltx2-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-ltx2-modular-pipe", 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": "LTX2DurationHead", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "audio_cross_attention_dim": 32, | |
| "mlp_hidden_dim": 8, | |
| "num_pooler_heads": 2, | |
| "num_queries": 1, | |
| "pooler_hidden_dim": 8, | |
| "video_cross_attention_dim": 32 | |
| } | |