Instructions to use developer2222/Best_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use developer2222/Best_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("developer2222/Best_test", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| language: | |
| - hi | |
| - en | |
| - sa | |
| tags: | |
| datasets: | |
| - Open-Orca/OpenOrca | |
| metrics: | |
| - accuracy | |
| library_name: diffusers | |
| pipeline_tag: text-generation | |