Instructions to use Girin67/trainsdxlgrn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Girin67/trainsdxlgrn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Girin67/trainsdxlgrn", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <myford> ford vehicle. ford logo is clearly visible. highly detailed, photorealistic and with crisp focus." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 4
Model tree for Girin67/trainsdxlgrn
Base model
stabilityai/stable-diffusion-xl-base-1.0