Instructions to use CosmosDream/GalaxySD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CosmosDream/GalaxySD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CosmosDream/GalaxySD", 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
- Draw Things
- DiffusionBee
Fix pipeline tag and add library name
#2
by nielsr HF Staff - opened
This PR updates the pipeline tag to image-to-image and adds the library_name tag.
Thank you for advice. Actually, the model is a text-to-image model that users give galaxy morphological prompts and the pipeline generates corresponding galaxy images.
Ok thanks! Will close this one.
nielsr changed pull request status to closed