Instructions to use interactdiffusion/diffusers-v1-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use interactdiffusion/diffusers-v1-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("interactdiffusion/diffusers-v1-2", 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
- Xet hash:
- c09c0d00210dc38b9dab34227aa10d18161f6699170af8c779ac4e2b1c8104d7
- Size of remote file:
- 2.14 GB
- SHA256:
- bd023e8494d117c0cfdfd5e98dc3750722530b17759e66051b936b4e8ae97db6
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