Instructions to use optimum-intel-internal-testing/tiny-random-ltx2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-random-ltx2.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-random-ltx2.5", 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: 240 Bytes
3f43040 | 1 2 3 4 5 6 7 8 9 10 11 | {
"_class_name": "LTX2DurationHead",
"_diffusers_version": "0.40.0",
"audio_cross_attention_dim": 32,
"mlp_hidden_dim": 16,
"num_pooler_heads": 2,
"num_queries": 1,
"pooler_hidden_dim": 16,
"video_cross_attention_dim": 32
}
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