Instructions to use OpenMOSS-Team/MOSS-Image-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OpenMOSS-Team/MOSS-Image-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-Base", 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 Settings
- Draw Things
- DiffusionBee
Download assets/teaser.webp from OpenMOSS-Team/MOSS-Image-Base: direct link, hf CLI and curl.
- Browser
- Download file 438 kB
-
https://huggingface.co/OpenMOSS-Team/MOSS-Image-Base/resolve/main/assets/teaser.webp
- Command line
-
hf download hf://OpenMOSS-Team/MOSS-Image-Base/assets/teaser.webp
-
curl -L -o teaser.webp https://huggingface.co/OpenMOSS-Team/MOSS-Image-Base/resolve/main/assets/teaser.webp
438 kB

- Xet hash:
- 0e91b6d7c4191d19d19be5d0d2c6f2b27b6c29fc9560ca20b0862b3ac0fc3cd9
- Size of remote file:
- 438 kB
- SHA256:
- 47d1ae8ebf4f7dc0db2c85dc7f71f182cd2205b19932211e831e1cb24b17efc1
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