Image-to-Video
Diffusers
Safetensors
LTX2Pipeline
text-to-video
video-to-video
image-text-to-video
audio-to-video
text-to-audio
video-to-audio
audio-to-audio
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
ltx-2
ltx-2-3
ltx-video
ltxv
lightricks
Instructions to use diffusers/LTX-2.3-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/LTX-2.3-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/LTX-2.3-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
File size: 817 Bytes
7b308f3 | 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": "0.37.0.dev0",
"audio_connector_attention_head_dim": 64,
"audio_connector_num_attention_heads": 32,
"audio_connector_num_layers": 8,
"audio_connector_num_learnable_registers": 128,
"audio_gated_attn": true,
"audio_hidden_dim": 2048,
"caption_channels": 3840,
"causal_temporal_positioning": false,
"connector_rope_base_seq_len": 4096,
"per_modality_projections": true,
"proj_bias": true,
"rope_double_precision": true,
"rope_theta": 10000.0,
"rope_type": "split",
"text_proj_in_factor": 49,
"video_connector_attention_head_dim": 128,
"video_connector_num_attention_heads": 32,
"video_connector_num_layers": 8,
"video_connector_num_learnable_registers": 128,
"video_gated_attn": true,
"video_hidden_dim": 4096
}
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