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 First_Step.ckpt from marulyanova/first-step-sb: direct link, hf CLI and curl.
- Browser
- Download file 2.13 GB
-
https://huggingface.co/marulyanova/first-step-sb/resolve/main/First_Step.ckpt
- Command line
-
hf download hf://marulyanova/first-step-sb/First_Step.ckpt
-
curl -L -o First_Step.ckpt https://huggingface.co/marulyanova/first-step-sb/resolve/main/First_Step.ckpt
2.13 GB
- Xet hash:
- c2777c5169fc69ba9781bd073cbaee1c1339ad53af49ed9c5fb4c8eb6e8cc3be
- Size of remote file:
- 2.13 GB
- SHA256:
- 47079c84ee47fb381333363d7f74d9b8153688edba0ced97ca0db3eb1f399ab1
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