Instructions to use ymyy307/ArcFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ymyy307/ArcFlow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ymyy307/ArcFlow", 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
Improve model card with pipeline tag, library, and project links
#1
by nielsr HF Staff - opened
Hi, I'm Niels from the Hugging Face team.
This PR improves the model card for ArcFlow by:
- Adding the
pipeline_tag: text-to-imageto the metadata for better discoverability. - Adding
library_name: diffusersto the metadata, as the model demonstrates clear compatibility with the Diffusers library in its usage examples and config files. - Linking the model card to its paper page on the Hub.
- Adding a prominent link to the official GitHub repository.
- Including a concise "Overview" section to briefly describe the model without adding the full abstract.
These updates aim to make the model more discoverable, provide clearer usage context, and adhere to best practices for documentation on the Hub.