Instructions to use BestWishYsh/HeliosBench-Weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BestWishYsh/HeliosBench-Weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BestWishYsh/HeliosBench-Weights", 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
Add library_name and improve model card documentation
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team. I noticed this model has excellent documentation and evidence of compatibility with the diffusers library.
I've opened this PR to:
- Add
library_name: diffusersto the metadata to enable the "Use in Diffusers" button and improve discoverability. - Update the
pipeline_tagtootheras requested. - Include a "Sample Usage" section featuring the official
diffuserscode snippet for easier onboarding. - Add a direct link to the paper at the top of the description.