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 transformer/model.flashpack from fal/MOSS-Image-SFT-flashpack: direct link, hf CLI and curl.
- Browser
- Download file 10.2 GB
-
https://huggingface.co/fal/MOSS-Image-SFT-flashpack/resolve/main/transformer/model.flashpack
- Command line
-
hf download hf://fal/MOSS-Image-SFT-flashpack/transformer/model.flashpack
-
curl -L -o model.flashpack https://huggingface.co/fal/MOSS-Image-SFT-flashpack/resolve/main/transformer/model.flashpack
10.2 GB
- Xet hash:
- bb15c3a78e538538983f1c98ce53bc3616869eae21ecf7a1b85d2f451da25991
- Size of remote file:
- 10.2 GB
- SHA256:
- c72d8d3821dd662edb247acb449f9ee05930b6968b9449c763013a704aa7ec7b
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