Instructions to use pmysl/805Na-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pmysl/805Na-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pmysl/805Na-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of sks tram in the Minecraft style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
pipeline_tag: text-to-image
widget:
- text: A photo of sks tram in the Minecraft style
example_title: Minecraft
- text: A photo of sks tram with the Eiffel Tower in the background
example_title: Eiffel Tower
- text: A photo of sks tram on the Mars
example_title: Mars
This is a fine-tuned Stable Diffusion model designed to create images of Konstal 805Na. Use sks tram in the prompt when you are referring to 805Na