Instructions to use tompot11/THECAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tompot11/THECAR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-lora-collection", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tompot11/THECAR") prompt = " the car parked in new york city" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
the car

- Prompt
- the car parked in new york city
- Negative Prompt
- EasyNegative

- Prompt
- the car parked in new york city
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- Prompt
- the car parked in new york city
Model description
The Car horror movie Lora
Trigger words
You should use the car to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for tompot11/THECAR
Base model
XLabs-AI/flux-lora-collection