Instructions to use stablediffusionapi/our with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/our with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/our", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ddb6de26ceb1707b10e8ab6972c652ccd0288617a4f80a2fe08cf3ac2c958c0e
- Size of remote file:
- 1.72 GB
- SHA256:
- b023b97ae4e4cbbd01a72db4cd8851c958559379871b27ca3356c50e0dee8692
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