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 Settings
- Draw Things
- DiffusionBee
File size: 444 Bytes
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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
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