Instructions to use marulyanova/first-step-sb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marulyanova/first-step-sb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marulyanova/first-step-sb", 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/diffusion_pytorch_model.bin from marulyanova/first-step-sb: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/marulyanova/first-step-sb/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://marulyanova/first-step-sb/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/marulyanova/first-step-sb/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 5808e07a77682258cf0bb38585b8896453006a61ee301f79bd76545604968237
- Size of remote file:
- 335 MB
- SHA256:
- 2e4dc8eb6c3af767259a4a1ad01aaee61fa93a31fdf0dcf3d34c1db4b0ea6bd8
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