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:
- ae7a8840dcb9e41666b8aaaa0098c7fff983c6e78143c735564e5ac5f59fcc79
- Size of remote file:
- 7.32 MB
- SHA256:
- b38a4c5eb1451a2472c2fc3065798f120365bb018d926e6baffa45c3e9e76529
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