Instructions to use cutycat2000x/InterDiffusion-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutycat2000x/InterDiffusion-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cutycat2000x/InterDiffusion-3", 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:
- 1ad1f4b70df6c2aa7557f74ecef867dde3a9d91406a869d4375d59341ede5f3d
- Size of remote file:
- 6.94 GB
- SHA256:
- 29b6b524cee171b5e9124e66b38a8cfd1651979308c31486cea0375355578b70
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