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

- Xet hash:
- 3739ab7780171a56898efb6a2272cd18ae5e0d1c49d6d04e12ba5bcb6ddd5226
- Size of remote file:
- 1.4 MB
- SHA256:
- c49011e110d819a32e4b45a6ca895cef1e12a3952ec57edb6347dc7eefd708be
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