Instructions to use ayan1988/diffusion.interaction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ayan1988/diffusion.interaction with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ayan1988/diffusion.interaction", torch_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
- Xet hash:
- 44608a86d230a27173469d4faf0ede775d92a6f6636f57b74f58a982703ee303
- Size of remote file:
- 492 MB
- SHA256:
- 616cee995a951a170c0534bb1701307a6fbcadee8e85887048a18206a1a48a8b
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