Instructions to use cutycat2000/InterDiffusion-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutycat2000/InterDiffusion-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("cutycat2000/InterDiffusion-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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 86b7cf3ea5b2f17861980a3f236f21bcd3795ac527505f3f8a8133ce1b4f77b9
- Size of remote file:
- 1.21 GB
- SHA256:
- a226d31c716a173a711d1172fb8c4639f4814d35ee6e261c80042f0ffc3ce48b
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