Instructions to use Efficient-Large-Model/LTX-2.3-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Efficient-Large-Model/LTX-2.3-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Efficient-Large-Model/LTX-2.3-Diffusers", 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: 487 Bytes
0677475 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"_class_name": "FlowMatchEulerDiscreteScheduler",
"_diffusers_version": "0.37.0.dev0",
"base_image_seq_len": 1024,
"base_shift": 0.95,
"invert_sigmas": false,
"max_image_seq_len": 4096,
"max_shift": 2.05,
"num_train_timesteps": 1000,
"shift": 1.0,
"shift_terminal": 0.1,
"stochastic_sampling": false,
"time_shift_type": "exponential",
"use_beta_sigmas": false,
"use_dynamic_shifting": true,
"use_exponential_sigmas": false,
"use_karras_sigmas": false
}
|