Instructions to use AlekseyCalvin/Shuttle3Diffusion_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/Shuttle3Diffusion_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/Shuttle3Diffusion_Diffusers", 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 schnell_grid.jpeg from AlekseyCalvin/Shuttle3Diffusion_Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/AlekseyCalvin/Shuttle3Diffusion_Diffusers/resolve/main/schnell_grid.jpeg
- Command line
-
hf download hf://AlekseyCalvin/Shuttle3Diffusion_Diffusers/schnell_grid.jpeg
-
curl -L -o schnell_grid.jpeg https://huggingface.co/AlekseyCalvin/Shuttle3Diffusion_Diffusers/resolve/main/schnell_grid.jpeg
1.67 MB

- Xet hash:
- 15533b00ec2f750075e14954c1e1a2e36bdf91933ad7c62cb8f83412720768b1
- Size of remote file:
- 1.67 MB
- SHA256:
- 5bff488da88933a529825e4fd72e10c3824e22508dc1d6f36b49850fa517ac44
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