Image-to-Video
GGUF
ggml
unsloth
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 unsloth/LTX-2.3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use unsloth/LTX-2.3-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/LTX-2.3-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/LTX-2.3-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for unsloth/LTX-2.3-GGUF to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/LTX-2.3-GGUF", max_seq_length=2048, )
Difference between dev gguf and distilled gguf models?
#1
by gpundt - opened
Was there a provided distinction in the description or does anyone know what the difference might be? Maybe just vram usage?
gpundt changed discussion status to closed
pretty sure it is just amount of steps and cfg you have to use.
Distilled is faster but yields lower quality motion and coherence.
Dev is higher step count and cfg which takes longer to gen but provides a better result more consistantly.
I prefer dev models because idc about gen time but thats me personally. Also allows for more variability other than seed.