Instructions to use doge1516/MS-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use doge1516/MS-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("doge1516/MS-Diffusion", 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 pipeline tag: text-to-image
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag: text-to-image to the model card metadata, making the model discoverable through the Hugging Face model search functionality for text-to-image pipelines.
doge1516 changed pull request status to merged