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
| 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 | |