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
- Xet hash:
- 58610ae638246a0472954d06e2f72e6765c428871abadff88fb09c675cd9bed0
- Size of remote file:
- 33.4 MB
- SHA256:
- a74aefb1dc1340a25f29ab8370384b9ed24b2d921d7749ece7bbcfcfdf00d497
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