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
File size: 814 Bytes
f0dc9e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"_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
}
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