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:
- c77ec049f48a4a0bfc8baea75a640f6c2a8dbee1a754e945c88968c4e094760c
- Size of remote file:
- 3.44 MB
- SHA256:
- bef45c38babcbaf66da37ac42ca10e869b09819d4247eb93b44b057ede9a25d8
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