Instructions to use hf-internal-testing/tiny-LTX2Pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-LTX2Pipeline 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-LTX2Pipeline", 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": "LTX2TextConnectors", | |
| "_diffusers_version": "0.39.0.dev0", | |
| "audio_connector_attention_head_dim": 8, | |
| "audio_connector_num_attention_heads": 4, | |
| "audio_connector_num_layers": 1, | |
| "audio_connector_num_learnable_registers": null, | |
| "audio_gated_attn": false, | |
| "audio_hidden_dim": 2048, | |
| "caption_channels": 32, | |
| "causal_temporal_positioning": false, | |
| "connector_rope_base_seq_len": 32, | |
| "per_modality_projections": false, | |
| "proj_bias": false, | |
| "rope_double_precision": false, | |
| "rope_theta": 10000.0, | |
| "rope_type": "split", | |
| "text_proj_in_factor": 3, | |
| "video_connector_attention_head_dim": 8, | |
| "video_connector_num_attention_heads": 4, | |
| "video_connector_num_layers": 1, | |
| "video_connector_num_learnable_registers": null, | |
| "video_gated_attn": false, | |
| "video_hidden_dim": 4096 | |
| } | |