Instructions to use ml-resources/MOSS-Image-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ml-resources/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("ml-resources/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/showcase/text-rendering.webp from ml-resources/MOSS-Image-Base: direct link, hf CLI and curl.
- Browser
- Download file 1.86 MB
-
https://huggingface.co/ml-resources/MOSS-Image-Base/resolve/main/assets/showcase/text-rendering.webp
- Command line
-
hf download hf://ml-resources/MOSS-Image-Base/assets/showcase/text-rendering.webp
-
curl -L -o text-rendering.webp https://huggingface.co/ml-resources/MOSS-Image-Base/resolve/main/assets/showcase/text-rendering.webp
1.86 MB

- Xet hash:
- f03dfbd72bbdc7a1d028926e77f9c80aaa23be50168a67d449615ba10b141669
- Size of remote file:
- 1.86 MB
- SHA256:
- e3dac88a40868bf4a51b27d74b09cbddd30260f1ce118c6d6ba60ad5b97ea83e
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