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 Hearcharted/LTX-2.3-GGUF-RootFolder-Unsloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use Hearcharted/LTX-2.3-GGUF-RootFolder-Unsloth 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 Hearcharted/LTX-2.3-GGUF-RootFolder-Unsloth 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 Hearcharted/LTX-2.3-GGUF-RootFolder-Unsloth to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Hearcharted/LTX-2.3-GGUF-RootFolder-Unsloth to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Hearcharted/LTX-2.3-GGUF-RootFolder-Unsloth", max_seq_length=2048, )
Ctrl+K
- distilled
- text_encoders
- vae
- 4.8 kB
- 21.4 kB
- 9.31 kB
- 42 GB xet
- 42 GB xet
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- 10.8 GB xet
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- 14.3 GB xet
- 13.1 GB xet
- 15.3 GB xet
- 16.3 GB xet
- 16.1 GB xet
- 15.2 GB xet
- 17.8 GB xet
- 22.8 GB xet
- 8.98 GB xet
- 11.8 GB xet
- 10.5 GB xet
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- 15.8 GB xet
- 2.26 MB xet
- 2.61 MB xet