Instructions to use hf-internal-testing/tiny-ltx2-5-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-ltx2-5-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-ltx2-5-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": "LTX2VideoDiffusionDecoderModel", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "decoder_head_dim": 8, | |
| "decoder_model_output_type": "x0", | |
| "decoder_num_inference_steps": 1, | |
| "decoder_stage5_kernel": [ | |
| 3, | |
| 3, | |
| 3 | |
| ], | |
| "decoder_stage_channels": [ | |
| 16, | |
| 16, | |
| 16, | |
| 16, | |
| 16 | |
| ], | |
| "decoder_stage_depths": [ | |
| 1, | |
| 1, | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| "decoder_stage_kernels": [ | |
| [ | |
| 3, | |
| 3, | |
| 3 | |
| ], | |
| [ | |
| 3, | |
| 3, | |
| 3 | |
| ], | |
| [ | |
| 3, | |
| 3, | |
| 3 | |
| ], | |
| [ | |
| 3, | |
| 3, | |
| 3 | |
| ] | |
| ], | |
| "decoder_t_emb_dim": 16, | |
| "decoder_timestep_scale_multiplier": 1000.0, | |
| "decoder_upsample_channel_reductions": [ | |
| 1, | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| "decoder_upsample_strides": [ | |
| [ | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| [ | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| [ | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| [ | |
| 2, | |
| 2, | |
| 2 | |
| ] | |
| ], | |
| "latent_channels": 4, | |
| "out_channels": 3, | |
| "patch_size": 1, | |
| "scaling_factor": 1.0, | |
| "spatial_compression_ratio": 2, | |
| "temporal_compression_ratio": 2 | |
| } | |