Instructions to use stablediffusionapi/dreamshaper-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/dreamshaper-8 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/dreamshaper-8", 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:
- ab4b856d2a8e9a0d40da21890fa942b91aa58d557d8d49d630d18fc0d52212ec
- Size of remote file:
- 246 MB
- SHA256:
- fda1f312e49f667179f53878e6ac717d8f37d6119cc5adb76fba88895b94d0a7
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