Instructions to use Disty0/LTX-2-SDNQ-4bit-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/LTX-2-SDNQ-4bit-dynamic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/LTX-2-SDNQ-4bit-dynamic", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download tokenizer/tokenizer.json from Disty0/LTX-2-SDNQ-4bit-dynamic: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/Disty0/LTX-2-SDNQ-4bit-dynamic/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://Disty0/LTX-2-SDNQ-4bit-dynamic/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Disty0/LTX-2-SDNQ-4bit-dynamic/resolve/main/tokenizer/tokenizer.json
33.4 MB
- Xet hash:
- c816957fa0cd50c6c9c55e6eb21d9b06112ad38a5ad70401edc064b9738f1d60
- Size of remote file:
- 33.4 MB
- SHA256:
- 67ba3d0484274397fa3af834be403b419da0e1e35f7be6a2fcd2d9d67b700fc1
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