Instructions to use koankoan/SBF-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use koankoan/SBF-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("koankoan/SBF-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "SBF" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9e00663cbccd247c5e1a9c17446a801c905a6e076a88eb2c55bb541bc704159e
- Size of remote file:
- 492 MB
- SHA256:
- a901c64154819ddb6fc798a897fbbc3d4560544d85de99ec1b517dcded834e49
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