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:
- ec37dd7cf654db918cf61bcaebf6c77e4b8c04f9eeac47c67c68aae21b73d679
- Size of remote file:
- 12.9 GB
- SHA256:
- 2d3523507c59df965e5d4ec9a1b9b4591297a50c058915c36fb29d124d30f64e
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