Instructions to use Boogu/Boogu-Image-0.1-Base-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Boogu/Boogu-Image-0.1-Base-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Boogu/Boogu-Image-0.1-Base-fp8", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Add pipeline_tag to metadata
#1
by nielsr HF Staff - opened
Hi!
This pull request adds the pipeline_tag: text-to-image to the YAML metadata at the top of the model card. This ensures that the model is correctly categorized under the text-to-image task on the Hugging Face Hub, making it much easier for researchers and developers to discover.
Best,
Niels
Boogu-AI changed pull request status to merged