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:
- 91366799e84b632099d1c0a63aee2cea3f922a65cda729cec48fc67ab921efb7
- Size of remote file:
- 4.28 GB
- SHA256:
- c87b09211184f49c1dedc537c20a36f752dbbcf2d345ddd474aace4e8f5fb15d
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