Text-to-Video
Diffusers
Safetensors
PyTorch
LTXPipeline
video-generation
ltx-video
lightricks
slora-ltx
Instructions to use muhammad-taqi512/SLORA-LTX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use muhammad-taqi512/SLORA-LTX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("muhammad-taqi512/SLORA-LTX", 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
Ctrl+K
- scheduler
- text_encoder
- tokenizer
- transformer
- vae
- 1.52 kB
- 14.5 kB
- 2.14 kB
- 16 kB
- 5.72 GB xet
- 16.1 kB
- 6.34 GB xet
- 16 kB
- 9.37 GB xet
- 15.7 GB xet
- 28.6 GB xet
- 15.7 GB xet
- 1.33 GB xet
- 28.6 GB xet
- 15.7 GB xet
- 28.6 GB xet
- 15.7 GB xet
- 28.6 GB xet
- 6.34 GB xet
- 6.34 GB xet
- 4.46 GB xet
- 6.34 GB xet
- 505 MB xet
- 505 MB xet
- 524 MB xet
- 524 MB xet
- 412 Bytes