Instructions to use sungnyun/diffblender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sungnyun/diffblender with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sungnyun/diffblender", 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
Improve model card: Add paper abstract, code link, project page link, usage example and bibtex citation
#1
by nielsr HF Staff - opened
This PR improves the model card for DiffBlender by:
- Adding a direct link to the GitHub repository and project page for easier navigation.
- Adding the paper abstract to provide a comprehensive overview of the model.
- Adding a "Quick Start" section with installation instructions and an inference example from the GitHub repository.
- Adding a bibtex citation.
- Changing the library_name to diffusers.
Please review and merge this PR if these changes accurately reflect the model's information.
sungnyun changed pull request status to merged