Text-to-Video
Diffusers
Safetensors
LTX2Pipeline
video-generation
audio-generation
audio-visual
ltx-2
marimo
molab
Instructions to use dragonlimited/LTX2-marimo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dragonlimited/LTX2-marimo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dragonlimited/LTX2-marimo", 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
Upload tokenizer/tokenizer.model with huggingface_hub
Browse files
tokenizer/tokenizer.model
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