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:
- f627449f50bf04ca827f463f23bf486c67b3f92fad9a1ccdb1df9aebcc9a150f
- Size of remote file:
- 1.84 GB
- SHA256:
- 3b1fa13f5aca75f2e31db1e3d1ae2a7c6812e6d33ae5c789c80c90cb3a21efa5
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