Instructions to use ZeroCool94/stable-diffusion-v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZeroCool94/stable-diffusion-v1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ZeroCool94/stable-diffusion-v1-5", 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
Commit History
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#3)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (b93246031dc6ddf6e16c78d570404c8e1c5544b0) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>339f528
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Add Diffusers weights (#1)
- Add Diffusers weights (4077fd490a11ab877c1bbe48611a27a105fe5e02)b463295