Instructions to use drawthingsai/MOSS-Image-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use drawthingsai/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("drawthingsai/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 flux_2_vae_f16.ckpt from drawthingsai/MOSS-Image-Base: direct link, hf CLI and curl.
- Browser
- Download file 169 MB
-
https://huggingface.co/drawthingsai/MOSS-Image-Base/resolve/main/flux_2_vae_f16.ckpt
- Command line
-
hf download hf://drawthingsai/MOSS-Image-Base/flux_2_vae_f16.ckpt
-
curl -L -o flux_2_vae_f16.ckpt https://huggingface.co/drawthingsai/MOSS-Image-Base/resolve/main/flux_2_vae_f16.ckpt
169 MB
- Xet hash:
- 808728a990999b289886ad8981373045226c6127f9c2043ac430a386279fd37e
- Size of remote file:
- 169 MB
- SHA256:
- 48369d4b1495aec3df0579591f4bf9c199a73cc288130df2359c4a173c5ae864
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