Instructions to use fal/MOSS-Image-SFT-flashpack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/MOSS-Image-SFT-flashpack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/MOSS-Image-SFT-flashpack", 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 vae/model.flashpack from fal/MOSS-Image-SFT-flashpack: direct link, hf CLI and curl.
- Browser
- Download file 250 MB
-
https://huggingface.co/fal/MOSS-Image-SFT-flashpack/resolve/main/vae/model.flashpack
- Command line
-
hf download hf://fal/MOSS-Image-SFT-flashpack/vae/model.flashpack
-
curl -L -o model.flashpack https://huggingface.co/fal/MOSS-Image-SFT-flashpack/resolve/main/vae/model.flashpack
250 MB
- Xet hash:
- 2e744cc8e20dda677b83ba5b1a259f22f2eec9f0559d1f144e0d91bf0a3b1496
- Size of remote file:
- 250 MB
- SHA256:
- 39baa81d515e4587abff4a031424d13630cdd437ba4575d2f393a1698ded448b
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