Instructions to use glif-loradex-trainer/bulbul_Car_Ads with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/bulbul_Car_Ads with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("glif-loradex-trainer/bulbul_Car_Ads") prompt = "sports car, car ad" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Car_Ads
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user bulbul.

- Prompt
- sports car, car ad

- Prompt
- a dargon car, car ad

- Prompt
- a snake car ad

- Prompt
- running man, car ad

- Prompt
- car from 1930, car ad
Trigger words
You should use car ad to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
- Downloads last month
- 21
Model tree for glif-loradex-trainer/bulbul_Car_Ads
Base model
black-forest-labs/FLUX.1-dev