Instructions to use akhaliq/MOSS-Image-SFT-4-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akhaliq/MOSS-Image-SFT-4-steps 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-SFT", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("akhaliq/MOSS-Image-SFT-4-steps") 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 showcase/v3_poster.png from akhaliq/MOSS-Image-SFT-4-steps: direct link, hf CLI and curl.
- Browser
- Download file 2.91 MB
-
https://huggingface.co/akhaliq/MOSS-Image-SFT-4-steps/resolve/main/showcase/v3_poster.png
- Command line
-
hf download hf://akhaliq/MOSS-Image-SFT-4-steps/showcase/v3_poster.png
-
curl -L -o v3_poster.png https://huggingface.co/akhaliq/MOSS-Image-SFT-4-steps/resolve/main/showcase/v3_poster.png
2.91 MB

- Xet hash:
- d3519df315fea0d6ad4b3b3fa1d59f2e812e936b748654fadf375d5bb8dd8a42
- Size of remote file:
- 2.91 MB
- SHA256:
- 46d243d7a2a1f10f3c392b5abb70405484ef9fbede56fe501da48a45a916b208
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