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/comparison/base.webp from OpenMOSS-Team/MOSS-Image-Base: direct link, hf CLI and curl.
- Browser
- Download file 102 kB
-
https://huggingface.co/OpenMOSS-Team/MOSS-Image-Base/resolve/main/assets/comparison/base.webp
- Command line
-
hf download hf://OpenMOSS-Team/MOSS-Image-Base/assets/comparison/base.webp
-
curl -L -o base.webp https://huggingface.co/OpenMOSS-Team/MOSS-Image-Base/resolve/main/assets/comparison/base.webp
102 kB

- Xet hash:
- 3951895eb06bd0be0fb28e7290ada68dfb2cefd2f38915cffaaa4a0f39dd1ab1
- Size of remote file:
- 102 kB
- SHA256:
- dd0eccae7f9c591b65c8161bb2d8515a3fdfe124d4be015f660ffa96c5c7a8b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.