Image-to-Video
Diffusers
text-to-video
video-to-video
image-text-to-video
audio-to-video
text-to-audio
video-to-audio
audio-to-audio
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
ltx-2
ltx-2-3
ltx-video
ltxv
lightricks
Instructions to use Lightricks/LTX-2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-2.3 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("Lightricks/LTX-2.3", 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
What was actually fixed in ltx-2.3-spatial-upscaler-x2-1.1?
#34
by raffetazarius - opened
@LTX - Can you share details about what was actually "fixed" in the Spatial Upscaler between v.1.0 and v.1.1 please?
https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-spatial-upscaler-x2-1.0.safetensors
https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors
Thanks!
The main improvement was discussed in this community page's issue: "ltx-2.3-spatial-upscaler-x2-1.0 causes unwanted text/overlay" ( https://huggingface.co/Lightricks/LTX-2.3/discussions/13 )
@raffetazarius - the primary fix in 1.1 was the issue of artifacts appearing in the last frames of long videos.
rluxemburg changed discussion status to closed