Instructions to use DileepPatruni/CarsImageTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DileepPatruni/CarsImageTraining with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DileepPatruni/CarsImageTraining") prompt = "image of a car travelling on a bridge" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Cars Image Training

- Prompt
- image of a car travelling on a bridge
- Negative Prompt
- NA
Trigger words
You should use cars to trigger the image generation.
You should use sports car to trigger the image generation.
You should use supra to trigger the image generation.
You should use toyota 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 DileepPatruni/CarsImageTraining
Base model
stabilityai/stable-diffusion-xl-base-1.0