Instructions to use spaceinvader/fb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use spaceinvader/fb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("spaceinvader/fb", 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 unet/diffusion_pytorch_model.bin from spaceinvader/fb: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/spaceinvader/fb/resolve/refs%2Fpr%2F7/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://spaceinvader/fb@refs/pr/7/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/spaceinvader/fb/resolve/refs%2Fpr%2F7/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- ffd436dce53f3fa10d5930d1bbfa363581d0ca8d5e02601af791e617e02fb592
- Size of remote file:
- 3.44 GB
- SHA256:
- ebe465049ec862fb7d6810bd5066b7d3a50f51ccc314e1c39542e9d3411bf341
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