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", 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
Download assets/samples/ride.png from cusiman/Krea2_Collection: direct link, hf CLI and curl.
- Browser
- Download file 4.06 MB
-
https://huggingface.co/cusiman/Krea2_Collection/resolve/main/assets/samples/ride.png
- Command line
-
hf download hf://cusiman/Krea2_Collection/assets/samples/ride.png
-
curl -L -o ride.png https://huggingface.co/cusiman/Krea2_Collection/resolve/main/assets/samples/ride.png
4.06 MB

- Xet hash:
- a7b638c822ac3eefb0bc1c4f19dca203dc978b81894960c181b9ef52d1de6920
- Size of remote file:
- 4.06 MB
- SHA256:
- c86fe0cccf304aa485810d973e6eb69f9296736757e52ef54a2455d73f8a1546
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