Instructions to use mxturbo/Openwheel-motorsports-Cockpit-T-Cam-LTX2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mxturbo/Openwheel-motorsports-Cockpit-T-Cam-LTX2.3 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mxturbo/Openwheel-motorsports-Cockpit-T-Cam-LTX2.3") prompt = "AT-cam onboard view looking over the silver and cyan central halo structure of a red 16LV6HybridF1 car on a very wet track in extremely heavy rain. The car features prominent cyan and white sponsor decals including \"MoGithub\", \"Red Stallion\", \"LBC.co\" and \"4ThFooLR\". The car exits a right-hand corner, driving over the painted exit curbs, and forcefully accelerates down a straight. Passing under a \"ThisYearIsOurYear\" sponsor bridge, the driver steers slightly right to follow the gentle curve of the straight before braking hard for the upcoming left turn. A gold, black, and silver driver's helmet is visible at the bottom of the frame." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Update README.md
#1
by mxturbo - opened
No description provided.
mxturbo changed pull request status to merged