Instructions to use KevinDowling/LTX-2.5-Diffusers-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KevinDowling/LTX-2.5-Diffusers-NVFP4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KevinDowling/LTX-2.5-Diffusers-NVFP4", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
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This repository is publicly accessible, but you have to accept the conditions to access its files and content.
These are quantized derivatives of LTX-2.5 and are distributed under the LTX-2 Community License Agreement, a complete copy of which is included in this repository as LICENSE.md. By requesting access you confirm you have read and accepted it, including the use restrictions in Section 4 and Attachment A. IMPORTANT: under Section 2.1, entities with annual revenues of at least $10,000,000 must obtain a paid Commercial Use Agreement from Lightricks (ltxv-licensing@lightricks.com) before ANY use other than a Non-Commercial Purpose as defined in Section 2.2. This applies to these derivative weights exactly as it applies to the originals.
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