Instructions to use sanaka87/3DIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sanaka87/3DIS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sanaka87/3DIS", 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
Add `library_name: diffusers` to model card metadata
#1
by nielsr HF Staff - opened
This PR updates the model card to include library_name: diffusers in the metadata. This addition will enable the automatic display of a diffusers code snippet on the model page, facilitating easier integration and usage for researchers and developers working with this text-to-image generation model.
sanaka87 changed pull request status to merged
Thank you for your help!
No worries! However is this model compatible with Diffusers? If not, feel free to remove the tag.