Instructions to use sanaka87/Show-o-RecA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sanaka87/Show-o-RecA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sanaka87/Show-o-RecA", 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 Diffusers library, text-to-image pipeline tag, and HF paper link
#1
by nielsr HF Staff - opened
This PR enhances the model card for sanaka87/Show-o-RecA by:
- Updating the
pipeline_tagfromany-to-anytotext-to-imagein the metadata, which better reflects the model's primary capabilities in image generation and editing and improves discoverability on the Hugging Face Hub. - Adding
library_name: diffusersto the metadata. Theconfig.jsonfile indicates compatibility with Diffusers, enabling the automated "how to use" widget on the model page. - Including a direct link to the Hugging Face paper page (Reconstruction Alignment Improves Unified Multimodal Models) as a new badge in the "Method" section.
These improvements will make the model more accessible and easier for users to understand and integrate.
sanaka87 changed pull request status to merged