Text-to-Image
Diffusers
Safetensors
LTX2ImagePipeline
image-to-image
image-generation
ltx-2
ltx-2-3
ltx-video
ltxv
lightricks
Instructions to use elismasilva/ltx2.3-image-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use elismasilva/ltx2.3-image-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("elismasilva/ltx2.3-image-base", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
| { | |
| "cache_implementation": "hybrid", | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 1, | |
| 106 | |
| ], | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "5.3.0" | |
| } | |