Instructions to use cusiman/Krea2_Collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cusiman/Krea2_Collection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cusiman/Krea2_Collection", 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:
- 72840a5a7e60b2df77d47d407e7e5d073b8148f833517a9f6fcd3f9e673e37eb
- Size of remote file:
- 13.1 GB
- SHA256:
- 5082a0f1c8bde11e5544f47994970210611f2b9de6847c3677c60039a981a84a
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