Instructions to use oumoumad/LTX-2-19b-LoRA-SPROUT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oumoumad/LTX-2-19b-LoRA-SPROUT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("oumoumad/LTX-2-19b-LoRA-SPROUT") prompt = "SPROUT a vehicle colorful plants growing on the ground slowly" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
SPROUT

- Prompt
- SPROUT a vehicle colorful plants growing on the ground slowly
Trigger words
Start with SPROUT then describe the look and position you want it to grow from
Download model
Download them in the Files & versions tab.
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