Instructions to use stronman/Ltx2.3-VBVR-lora-I2V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stronman/Ltx2.3-VBVR-lora-I2V with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stronman/Ltx2.3-VBVR-lora-I2V") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download 240K.mp4 from stronman/Ltx2.3-VBVR-lora-I2V: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/stronman/Ltx2.3-VBVR-lora-I2V/resolve/main/240K.mp4
- Command line
-
hf download hf://stronman/Ltx2.3-VBVR-lora-I2V/240K.mp4
-
curl -L -o 240K.mp4 https://huggingface.co/stronman/Ltx2.3-VBVR-lora-I2V/resolve/main/240K.mp4
1.05 MB
- Xet hash:
- 796802fb5b4cfc94179fc6a8a89cd6d502fccf3c4f708d4b7c7421edb842780e
- Size of remote file:
- 1.05 MB
- SHA256:
- 1e058a1890a47b23ada2264201ec8f33b12f070ecadeb55152c9283ea589a409
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